JP2000069353A - Camera shake detection device and camera shake correction device - Google Patents

Abstract

(57) [Problem] To provide a camera shake detection device and a camera shake correction device capable of detecting camera shake at high speed with an inexpensive configuration. A camera shake correction device according to the present invention detects a mechanical shake of a digital camera 100 and outputs a shake signal corresponding to a shake amount to an image shake detection unit 131 and a controller 121. An image blur detection unit 131 that detects an image blur of a subject image based on a blur signal and outputs an image blur signal corresponding to the image blur to the controller 121, and corrects a camera shake based on the blur signal and the image blur signal. A controller 121 that operates the camera shake correction unit 129 to cancel the detected camera shake,
An image stabilization unit 129 that moves the CCD 103 to perform image stabilization is provided.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a camera shake detecting apparatus and a camera shake correcting apparatus, and more particularly, to a camera shake detecting apparatus for detecting camera shake and a camera shake of a subject image, and for correcting camera shake detected by the camera shake detecting apparatus. The present invention relates to a correction device.

[0002]

2. Description of the Related Art Conventionally, when an optical device such as a camera is used, blurring due to vibration of the optical device has been a problem. As a method for preventing such blurring, for example, the following method has been proposed.

As a first method, for example, Japanese Patent Publication No. Sho 56
As described in Japanese Patent Publication No. 21133, "Image stabilization method of optical device such as camera", the vibration of the optical device itself is detected using a gyroscope or the like, and the optical system is controlled so as to cancel the vibration. There is a method in which a part or the whole is displaced, the position of the optical image is displaced, and the position of the optical image is displaced, thereby performing vibration reduction.

As a second method, for example, Japanese Patent Laid-Open No.
As described in JP-A-177419, "television camera", an image of a subject is taken by an image sensor, the movement of the subject image on a screen is detected by a subject signal obtained from the image sensor, and this motion signal is detected. There is a method of displacing an optical image so as to cancel each other or cutting out a display area so that a subject is located at a fixed position in a screen of a television or the like.

The first method has a merit that the vibration of the optical device itself is detected, so that the vibration can be detected in real time and the blur correction can be performed in real time. It has the disadvantage of being expensive and having a large configuration.

In the second method, since an image pickup device is used for detecting image blur, it can be performed at a low cost with a television camera or the like. However, since image blur is detected by image processing, vibration cannot be detected in real time. Further, general motion detection in which image blur is processed by image processing has a problem that processing is complicated and time-consuming because pattern matching is performed in a plurality of two-dimensional images.

Further, as a simple blur correction method, of two-dimensional information, a row direction is averaged to obtain one-dimensional information.
There is also a method that detects movement in the column direction (vertical direction) and averages the row direction in two-dimensional information to detect movement in the row direction (left and right direction) as one-dimensional information. Therefore, there is a problem that the contrast of the image is reduced.

In order to solve the problems of each of the above systems, a system combining the first system and the second system is disclosed in, for example, Japanese Patent Application Laid-Open No. 2-75284, entitled "Imaging Apparatus" JP-A-163534, "Camera Shake Prevention Device", JP-A-4-163535, "Camera Shake Prevention Device", JP-A-4-215623, "Camera Shake Prevention Device", and JP-A-5-14801 There is a device described in “Hand Shake Prevention Device”.

The systems described in the above publications use both the first and second systems to compensate for each other's disadvantages. Specifically, the disadvantages are compensated for by using the shake signal and the image shake signal, which are the detection signals of both the shake detection means for detecting the mechanical shake and the shake detection means for detecting the shake of the subject image, according to the situation. It is.

[0010]

However, since the system combining the first and second systems is simply a combination of the first system and the second system, the apparatus becomes expensive and image blurring occurs. When detecting a signal, complicated motion detection processing is required and it takes time, real-time processing can not be performed, and sufficient detection accuracy can not be obtained because the blur detection means uses an angular velocity sensor etc. Have a problem.

The present invention has been made in view of the above, and an object of the present invention is to provide a camera shake detecting device and a camera shake correcting device capable of detecting a camera shake at high speed with an inexpensive configuration.

[0012]

Means for Solving the Problems The above-mentioned problems are solved,
In order to achieve the object, a camera shake detecting apparatus according to claim 1 detects a camera shake, outputs a camera shake signal corresponding to the detected camera shake, and a subject image based on the camera shake signal. Image blur detecting means for detecting image blur of the image and outputting an image blur signal corresponding to the detected image blur,
It is provided with.

[0013] The camera shake detecting device according to claim 2 is
2. The camera shake detection device according to claim 1, wherein the image blur detection means captures a subject image a plurality of times and detects an image blur based on a subject signal obtained by the plurality of captures.

The camera shake detecting device according to claim 3 is
3. The image blur detecting device according to claim 2, wherein the image blur detecting means detects an image blur by a phase difference detection method based on a correlation method on the subject signal obtained by the plurality of imagings.

The camera shake detecting device according to claim 4 is
3. The image blur detecting device according to claim 2, wherein the image blur detecting means determines an image capturing timing based on the blur signal and detects the image blur.

The camera shake detecting device according to claim 5 is
3. The image blur detecting device according to claim 2, wherein the image blur detecting means detects an image blur by selecting a part of a plurality of subject signals based on the blur signal.

Further, according to a sixth aspect of the present invention, there is provided a camera shake detecting device.
3. The image blur detecting device according to claim 2, wherein the image blur detecting means changes an optical axis of an imaging optical system based on the blur signal and detects an image blur based on the corrected subject signal. .

The camera shake detecting device according to claim 7 is
3. The image blur detecting device according to claim 2, wherein the image blur detecting means newly detects an image blur signal based on the detected image blur signal.

Further, the camera shake detecting device according to claim 8 is
2. The camera shake detection device according to claim 1, wherein the camera shake detection means outputs, as the camera shake signal, a signal indicating an inclination of the device with respect to the direction of gravity.

The camera shake detecting device according to claim 9 is
2. The camera shake detection device according to claim 1, wherein the shake detection unit outputs a signal corresponding to an angular velocity of the device as the shake signal.

According to a tenth aspect of the present invention, there is provided a camera shake correction apparatus including the camera shake detection apparatus according to any one of the first to ninth aspects, wherein the camera shake signal and the image output from the camera shake detection apparatus are provided. The camera is provided with camera shake correction means for performing camera shake correction based on a camera shake signal.

[0022]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Preferred embodiments of a camera shake detecting device and a camera shake correcting device according to the present invention will be described below in detail with reference to the accompanying drawings. In the embodiments described below, a digital camera will be described as an embodiment of the present invention.

(Embodiment 1) A digital camera according to Embodiment 1 will be described with reference to FIGS.

FIG. 1 is a block diagram showing a configuration of a digital camera according to Embodiment 1 of the present invention. In FIG. 1, reference numeral 100 denotes a digital camera. The digital camera 100 includes a lens 101, a mechanical mechanism 102 including an autofocus and the like, a CCD 103A, a CDS (correlated double sampling) circuit 104, an A / D converter 105, a digital signal Processing unit 106, DCT 107, coder 10
8, MCC 109, buffer memory 110, video amplifier 111, internal memory 112, controller 121, display unit 122, operation unit 123, parameter memory 124,
Motor driver 125, SG (control signal generation) unit 12
6, a camera shake detection device 130, a camera shake correction unit 131, and the like.

The lens unit includes a lens 101, a mechanical mechanism 102 including an autofocus (AF), an aperture, and a filter unit. The mechanical shutter of the mechanical mechanism 102 performs simultaneous exposure of two fields. The CCD (image pickup device) 103 converts a video image input through the lens unit into an electric signal (analog image data).

The CDS circuit 104 is a circuit for reducing noise of the CCD type image pickup device. The A / D converter 105 is connected to the CCD 1 input via the CDS circuit 104.
Convert the analog image data from D.03 into digital image data. That is, the output signal of the CCD 103 is CD
The signal is converted into a digital signal at the optimum sampling frequency (for example, an integer multiple of the subcarrier frequency of the NTSC signal) by the A / D converter 105 through the S circuit 104.

Further, the digital signal processing unit 106
The digital image data input from the D converter 105 is divided into color difference and luminance, and various processing, correction, and data processing for image compression / decompression are performed. DCT (Discrete
The Cosine Transform 107 performs an orthogonal transformation, which is a process of image compression and decompression in accordance with, for example, JPEG, and performs a coder (Huffman Encode).
The er / decoder 108 performs Huffman encoding / decoding, which is a process of image compression / decompression in accordance with JPEG.

Also, the MCC (Memory Card C)
The controller 109 temporarily stores the image that has been subjected to the compression processing and the digitized audio that has been taken in from a microphone (not shown), and performs simultaneous processing to perform recording / reading to / from the internal memory 112 or the memory card. Controller 12
1 controls the operation of each unit of the digital camera according to an instruction from the operation unit 123 or an external operation instruction such as a remote controller (not shown).

The display unit 122 is implemented by an LCD, an LED, an EL, or the like, and displays an image based on photographed digital image data or decompressed recorded image data, and also displays the state of the digital camera. . The operation unit 123 includes buttons for externally performing function selection, shooting instructions, and other various settings. The operation unit 123 has a release button 123A, and the controller 1 is operated by operating the release button 123A.
A release signal is output to 21.

The camera shake detecting device 128 detects a camera shake and outputs a detection result to the controller 121. The camera shake correction unit 129 performs the camera shake correction by moving the CCD 103 in the direction for correcting the camera shake according to the control signal output from the controller 121.

In the above configuration, the camera shake detecting device 12
8. Camera shake correction unit 129 and controller 121
Constitutes a camera shake correction device.

FIG. 2 is a diagram schematically showing the configuration of the camera shake correction device of the digital camera. The camera shake detecting device 128 detects mechanical shake of the digital camera 100 and outputs a shake signal corresponding to the amount of shake to the image shake detecting unit 13.
1 and shake detection means 1 to output to controller 121
30 and an image blur detecting unit 131 that detects an image blur of a subject image based on the blur signal and outputs an image blur signal corresponding to the image blur to the controller 121. The controller 121 operates the camera shake correction unit 129 to correct the camera shake based on the camera shake signal and the image shake signal so as to cancel the detected camera shake. The camera shake correction unit 129 includes, for example, a moving coil 129A for displacing the CCD 103 and a driving unit 129B for driving the moving coil 129A.
The camera shake correction unit 129 is controlled by the controller 121 and operates as a CCD so as to cancel the detected camera shake.
The camera shake is corrected by displacing 103. FIG. 3 is a diagram illustrating an example of an external configuration of the moving coil 129A.

When performing camera shake correction, a part of the optical system may be moved instead of moving the CCD 103 as described above. Further, the means for correcting camera shake is not limited to the configuration using the above-described moving coil, and may be configured using an actuator such as a piezoelectric element.

As described above, in the first embodiment, the shake detecting means 130 detects the shake of the apparatus, outputs a shake signal corresponding to the detected shake of the apparatus, and outputs the image shake detecting means. 131 detects the image blur of the subject image based on the blur signal and outputs an image blur signal corresponding to the detected image blur, so that the position of the subject can be specified by the blur signal, and the image blur signal Can be detected accurately and at high speed.

(Embodiment 2) An image blur detecting means 131 according to Embodiment 2 will be described with reference to FIGS.
The basic configuration of the digital camera can be realized by a configuration similar to that of the first embodiment. First, a camera shake detection method according to the second embodiment will be described with reference to FIGS.

FIGS. 4 to 6 are diagrams for explaining the principle of camera shake detection. As shown in FIG.
If the subject 00 is shaken due to camera shake or the like with respect to the subject to be photographed, as shown in FIG.
The position of the subject image formed on 103 is initially the position A, but after Δt time, it moves to the position A ′, for example. When this movement of the subject image is represented as an image on the imaging element surface, as shown in FIG. 6, when the subject image at the position of A moves to A ′ after Δt time, two-dimensionally, That is, it has moved by ΔX in the X direction and ΔY in the Y direction.
Therefore, by detecting the movement amounts ΔX and ΔY in the X and Y directions, the movement direction and the movement amount of the subject image can be detected.

FIG. 7 shows an example of the detecting section of the image blur detecting means 131 according to the second embodiment. Image blur detection means 131
Are the main and sub 2 arranged at intervals of P as shown in FIG.
Line sensors. Here, for example, when the subject image was initially at the position B,
It is assumed that the object moves by ΔX in the direction and ΔY = P in the Y direction and moves to the position B ′. Here, the shake detecting means 13
A value of 0 detects a blur ΔY in the Y direction, and the image blur detecting means 131 detects a blur in the X direction. More specifically, first, the main line sensor of the image blur detecting means 131 detects the subject image at the position B. Subsequently, the shake detecting means 130 detects the movement of the subject image from the position B to B ′, that is, the movement of the subject image by ΔY. Then, the image blur detecting means 131 detects the subject image by the sub-line sensor when the blur detecting means 130 detects the movement of the subject image by ΔY = P.

FIG. 8 shows the detection timing of the subject image by the image blur detecting means. As shown in FIG. 8, the image blur detecting means 1
When the main line sensor 31 detects the subject signal, the shake detecting means 131 measures the shake amount ΔY until the subject image moves by the same amount as the interval P between the B main and sub line sensors, and sets the shake amount as the shake amount. When ΔY = P is detected, the subject signal is detected by the sub-line sensor of the image blur detecting means 131. Then, as shown in FIG. 9, the X-direction movement ΔX of the subject image is detected based on the obtained two main / sub subject signals (C, C ′).

That is, a shake component in the Y direction is detected by the shake detection means 130, and the image shake detection means 131 is operated based on the shake signal of the shake detection means 130, thereby detecting a shake component in the X direction.

Next, a method of detecting ΔX in FIG. 9, that is, a phase difference ΔX between two subject signals by a pair of line sensors will be described with reference to FIG. As a method of detecting the phase difference ΔX, for example, a phase difference detection method used for auto focus or the like can be used. That is, as shown in FIG. 10, when calculating the phase difference between the two signals A and B, the degree of correlation between the two signals that shift A or B, that is, the degree of coincidence of the waveforms, is detected, and A and B are most matched. The shifted amount becomes a phase difference.

Here, the degree of coincidence is generally detected by Σ
| AB |. FIG. 11 is a schematic diagram of this. As shown in the drawing, the point where 最 も | AB | is the minimum corresponds to A and B most, and the shift amount in that case is the phase difference ΔX.

In the second embodiment, the image blur detecting means 131 determines the image capturing timing based on the blur signal and detects the image blur signal. The configuration can be simple and inexpensive.

(Embodiment 3) An image blur detecting means 131 according to Embodiment 3 will be described with reference to FIGS. In the second embodiment, the temporal sampling interval of the subject image of the image blur detecting unit 131 is determined according to the blur signal detected by the blur detecting unit 130. However, in the third embodiment, a certain sampling interval is determined. A case where the amount of blur is detected at time intervals and the image blur detecting means 131 is operated will be described. The basic configuration of the digital camera can be realized by a configuration similar to that of the first embodiment.

FIG. 12 shows a configuration of a detecting section of the image blur detecting means 131 according to the third embodiment. Image blur detection means 13
Reference numeral 1 denotes a configuration in which a plurality (1 to n) of line sensors are arranged in parallel in the vertical direction at an interval P as shown in FIG. In the same manner as in the second embodiment, the blur detecting means 130 detects mechanical blur of the digital camera 100, and the image blur detecting means 131 shown in FIG. 12 captures a subject image a plurality of times at regular time intervals. .

FIG. 13 is a diagram for explaining the principle of image blur detection by the image blur detecting means 131 shown in FIG. In FIG. 13, first, at a certain point, the subject image is B
It is assumed that the subject image has moved to the position B ′ after a certain period of time due to camera shake or the like. Here, the movement amount ΔY of the Y component of the subject image can be represented by ΔY = P (constant) · ΔI. Further, since P is a constant, ΔI =
It can be represented as ΔY / P. Further, similarly to the second embodiment, ΔY is detected by the blur detecting means 130. In the example shown in the figure, the subject image that was on n = 2 by the line sensor moves to (n = 2) + ΔI on the line sensor.

That is, the image blur detecting means 131 extracts the subject signal of n = 2 and (n = 2) + ΔI by the line sensor, and, as in the second embodiment, as shown in FIG. The two are compared to detect ΔX. That is, the image blur detecting means 131 detects ΔX by detecting and comparing a subject signal obtained at a certain point in time and a subject signal shifted from the point by a blur amount ΔY.

As described above, the image blur detecting means 13
In 1, the image blur signal is detected by selecting a part of the plurality of subject signals based on the blur signal.
The subject signal can be selected accurately.

As described above, in the third embodiment, the image blur detecting means 131 detects the image blur based on a plurality of subject signals obtained by performing the image capturing a plurality of times. It is possible to detect continuously.

FIG. 14 shows another example of the configuration of the detecting section of the image blur detecting means 131. Image blur detecting means 13 shown in FIG.
Reference numeral 1 designates sub line sensors provided on both sides of the main line sensor so that the object can be detected whether the subject moves upward or downward.

In the image blur detecting means 131 shown in FIG. 7, the main and sub-ranks of the two line sensors are determined in advance based on the direction of the Y component of the blur signal detected by the blur detecting means 130. Is also good. Specifically, for example, as shown in FIG. 6, when the subject image moves upward, accumulation is started first with the lower line sensor as the main line sensor to detect the subject image signal. Next, the sub line sensor is operated. Conversely, when the movement is in the downward direction, the accumulation is started first with the upper line sensor as the main line sensor, and the accumulation is started next with the lower line sensor as the sub line sensor.

As shown in FIG. 15, line memories for recording the subject signals of the main and sub line sensors are provided, and both the main and sub line memories are operated.
Both object signals are stored. FIG. 16 shows the detection timing of the subject signal in this case. That is, as shown in FIG. 16, if there is a subject signal at a certain time and a subject signal '' at the next time, the blur signal detected by the blur detecting means 130 is large and the subject image is When it is detected that the object has moved by an amount corresponding to the interval P, depending on the moving direction of the subject image,
Alternatively, an image blur signal may be detected by comparing the subject signal obtained at the point of time "."

When the moving amount of the subject image is smaller than the line sensor interval P and the subject image does not move from the main line sensor to the sub line sensor, the subject signal obtained at the time of “or” is determined. What is necessary is just to compare and detect image blur.

The above-described image blur detecting means may be combined. For example, a plurality of line sensors as shown in FIG. 12 are used as the image detecting means 131, and the image data is repeatedly stored a plurality of times as shown in FIG. Alternatively, the subject signals of a plurality of lines may be obtained at a plurality of times. Then, the repetition timing may be determined based on the shake signal of the shake detecting means 130 up to the time interval at which the subject image moves by m lines.

Here, when the blur amount is large, the m-line subject image moves. Therefore, it is sufficient to compare the line sensors with each other at intervals of m lines. Obtain a subject detection signal.
In this case, the shake detecting means 130 may detect the movement of one line (l ≦ m) of the subject image, and the image blur detecting means 131 may compare the subject signals of the corresponding line sensors at l-line intervals.

(Embodiment 4) An image blur detecting means 131 according to Embodiment 4 will be described with reference to FIGS. In the second and third embodiments, the subject signal of the line sensor of the shake detecting means 130 corresponding to the shake signal detected by the shake detecting means 130 is used.
Although the image blur signal is detected, in the fourth embodiment, the blur signal of the Y component is detected by the blur detecting means 130 and the amount of the image blur detecting means 131 of the image blur detecting means 131 is reduced by an amount to cancel the detected blur signal of the Y component. The image sensor is moved in the Y direction, and the image blur detection means 131 detects an image blur signal moving in the X direction. Note that the basic configuration of the digital camera can be realized by a configuration similar to that of the first embodiment.

FIG. 17 shows an image blur detecting means 1 according to the fourth embodiment.
31 is schematically shown. FIG. 18 shows a configuration of a detection unit (line sensor) of the image blur detection means of FIG. FIG.
Is provided with one line sensor.

First, the shake detection means 130 detects the shake signal of the Y component of the detected shake signal, and then, as shown in FIG. 17, the image is removed by an amount that cancels the shake signal of the detected Y component. By moving the shake detection means in the Y direction,
The movement of the Y component of the image formed on the image blur detecting means is canceled, and the image blur moving in the X direction in a time series on one line sensor of the image blur detecting means 131 as shown in FIG. Detect signal.

(Embodiment 5) An image blur detecting means 131 according to Embodiment 5 will be described with reference to FIG. In addition,
The basic configuration of the digital camera can be realized by a configuration similar to that of the first embodiment. Image blur detecting means 1 according to Embodiment 5
Reference numeral 31 changes the optical axis of the imaging optical system and detects an image blur signal.

FIG. 19 schematically shows a configuration around the image blur detecting means 131. A variable top prism (variable prism) is provided in front of the optical system, and a blur signal detected by the blur detecting means 131 is provided. , The apex angle of the variable length prism is changed to change the optical axis. Then, the image blur detecting means 131 detects an image blur based on the subject signal whose optical axis has been changed, and outputs an image blur signal.

The variable top prism cancels and corrects a change in the optical axis due to camera shake by changing a part of the optical system. This variable top prism is a prism in which two sheets of glass are connected by a bellows made of a special film, and the inside is filled with a transparent high refractive index liquid. Under normal conditions,
Although the two glass plates of the variable top prism are kept parallel, when camera shake occurs, as shown in FIG. 19, by changing the apex angle, the imaging optical system moves in the direction to cancel the movement of the field of view due to camera shake. Shift the field of view of the system.

As described above, in the fifth embodiment, the optical axis of the image pickup optical system is changed to detect the image blur signal. It is possible to make the configuration of the image pickup device simple and inexpensive.

(Embodiment 6) An image blur detecting means 131 according to Embodiment 6 will be described with reference to FIG. In addition,
The basic configuration of the digital camera can be realized by a configuration similar to that of the first embodiment. FIG. 20 is a diagram for explaining the image blur detecting means 131 according to the sixth embodiment. As shown in FIG. 20, when the subject image moves on the image blur detecting means constituted by the area sensor, ΔX and ΔY are two line information separated by ΔY by the blur signal detected by the blur detecting means. As a result, the image blur signal ΔX is detected.

Next, using this ΔX, an image blur signal ΔY ′ is detected from two pieces of row information separated by ΔX.
That is, in this embodiment, since both .DELTA.X and .DELTA.Y 'are detected by the image blur detecting means, both .DELTA.X and .DELTA.Y' can be accurately stabilized by the image blur signal.

As described above, in the sixth embodiment, the image blur detecting means 131 detects a new image blur signal based on the detected image blur signal. Can be detected.

In the first to sixth embodiments, the image blur detecting means is provided separately from the image pickup device of the digital camera. However, a CCD for image recording is used as the image blur detecting means. May be. In this case, it is not necessary to use two of the image blur detecting means and the image pickup device of the camera, so that an inexpensive configuration can be achieved.

(Embodiment 7) A blur detecting means 130 according to Embodiment 7 will be described with reference to FIGS.
Note that the basic configuration of the digital camera can be realized by a configuration similar to that of the first embodiment. First, the device (digital camera)
Referring to FIG. FIG.
In this case, when the weight is hung on the apparatus by a thread, the direction of the thread is always in the direction of gravity in the direction of gravity. On the other hand, the angle θ between the perpendicular direction of the bottom surface of the apparatus and the direction of gravity is the inclination of the apparatus. That is, if this θ is detected, the inclination of the apparatus can be known, and the change in θ leads to the shake of the apparatus.

Therefore, as shown in FIG. 22, for example, acceleration sensors are provided as detecting means for detecting gravity in the X, Y, and Z directions, and accelerations ax, ay, a
The direction of gravity can be detected by detecting z.

Here, for simplicity of description, as shown in FIG. 23, if two axes of the X direction and the Y direction are used, the output of the acceleration becomes the X direction ax and the Y direction ay due to gravity, and the Y axis Is the angle θ between the object and gravity, tan θ = ax / a
It can be calculated by y. In other words, by providing acceleration sensors for detecting gravity in a plurality of axial directions and comparing the values of the respective acceleration sensors, an angle between the gravity direction and the axial direction can be detected, and by detecting a temporal change in this angle. Blur can be detected.

FIG. 24 and FIG.
FIG. 2 schematically shows 0 and the image blur detecting means 131.
4 shows a case where the digital camera is not tilted.
Indicates a case where the digital camera is tilted by Δθ. FIG.
In the state shown in FIG. 4, if the shake detecting means using the acceleration sensor outputs ax and ay as described above, the angle θ between the direction of gravity and the Y axis, which is one axis of the acceleration sensor, is obtained. Is tan θ = ax / ay. And
When the digital camera is tilted by Δθ as shown in FIG. 25, that is, when the digital camera
When the distance between the line sensors is P and the focal length of the optical system is f, the subject image is detected when the subject image moves up and down by tan Δθ = P / f.

Hereinafter, a method for detecting tan Δθ (= P / f) will be described in detail. This P / f is calculated as follows.

[0071]

(Equation 1)

That is, since P and f are set values, when the output of the acceleration sensor becomes a'x and a'y which satisfies the above expression when the output of the acceleration sensor is ax and ay in the state of FIG.
In the state shown in FIG. 25, the next subject image may be detected at that time to detect the image blur amount.

As described above, by providing the acceleration sensors for a plurality of axes and controlling the image blur detecting means based on the values, the image moves only in the left and right directions, and the line sensor can easily detect the image movement. it can.

Next, when the acceleration sensor is set to three axes as shown in FIG. 22, inclinations of the apparatus in two directions can be detected as shown in FIG. When this is viewed from the imaging surface of the image blur detecting means, as shown in FIG.
The vertical Y-axis and the rotational θ-axis can be detected.

This specific example will be described with reference to FIGS. As shown in FIG. 28, it is assumed that the subject at the position A rotates by Δθ after a certain time, moves by ΔY, and moves to A ′. FIG. 29 and FIG.
28 shows the state before movement A in FIG. 28 and the state after movement A ′ in FIG. 28, respectively. That is, as shown in FIG. 29, after detecting the subject signal at the position A, as shown in FIG.
ΔX is detected by detecting the subject signal at the position A ′ moved by θ.

That is, by using the three-axis acceleration sensor and the image blur detecting means, it is possible to detect ΔX, ΔY, Δθ, that is, the three-axis rotation of the apparatus as shown in FIG.

Further, as shown in FIG. 32, in order to cope with the case where the apparatus is set upright, an area sensor having a two-dimensionally arranged image pickup device is used as image blur detecting means. As shown in FIG. 34, in the horizontal position, the image blur amount is detected using the information in the row direction, and as shown in FIG. 34, in the vertical position, the image blur amount is detected using the information in the column direction. good.

As described above, the shake detecting means 130
Output a signal indicating the inclination with respect to the direction of gravity.
By detecting the blur component which cannot be detected by the inclination with respect to the direction of gravity by the image blur detecting means 131, it is possible to detect the blur of the apparatus accurately and inexpensively.

In the above description, the case where the acceleration sensor is used as the shake detecting means has been described.
The present invention is not limited to this, and the shake detecting means may be configured using an angular velocity sensor, or another vibration sensor may be used.

Since the shake detecting means 130 outputs a signal corresponding to the angular velocity of the apparatus, the angular velocity of the apparatus on any axis can be detected without being affected by the direction of gravity.

As described above, according to the present invention, the shake of the apparatus is detected as a shake signal, and the image shake is detected based on the shake signal. Instead, the camera shake can be detected at low cost and at high speed. As a result, when performing camera shake correction, high-speed camera shake can be dealt with, and accurate image shake correction can be performed.

In the case of camera shake correction of a digital camera or the like, the image shake detecting means is shared with an image pickup device for image recording, and a two-axis / three-axis acceleration sensor or angular velocity sensor is used as the shake detecting means. By using one, a camera shake detection device can be configured, and an inexpensive configuration can be achieved.

In this embodiment, an example is shown in which the camera shake detecting device and the camera shake correcting device according to the present invention are applied to a digital camera. However, the present invention is not limited to this, and may be, for example, a video camera. The present invention can be widely applied to cameras, optical cameras, image stabilizers, and the like.

As for the blur correction of a video camera or the like, an area for recording an image may be set by the image blur signal and the blur signal of the present invention. An area to be displayed during reproduction may be set by using the present invention.

The present invention is not limited to the above-described embodiment, but can be implemented with appropriate modifications within the scope of the present invention.

[0086]

As described above, the camera shake detecting device according to the first aspect detects a camera shake and outputs a shake signal corresponding to the detected device shake, based on the shake signal. Image blur detection means for detecting the image blur of the subject image and outputting an image blur signal corresponding to the detected image blur, so that the camera shake can be detected at a high speed with an inexpensive configuration. It becomes possible.

The camera shake detecting device according to claim 2 is
2. The image blur detecting device according to claim 1, wherein the image blur detecting means captures the subject image a plurality of times, and detects the image blur based on the subject signal obtained by capturing the plurality of times. The blur signal can be detected continuously.

Further, according to the third aspect of the present invention,
3. The image blur detecting device according to claim 2, wherein the image blur detecting means detects the image blur by a phase difference detection method based on the correlation method on the subject signal obtained by a plurality of imagings, so that accurate and high speed is achieved. It is possible to detect an image blur signal.

The camera shake detecting device according to claim 4 is
3. The image blur detecting device according to claim 2, wherein the image blur detecting means determines the image capturing timing based on the blur signal and detects the image blur, so that the image blur detecting means is configured simply and inexpensively. It is possible to do.

The camera shake detecting device according to claim 5 is
3. The image blur detecting device according to claim 2, wherein the image blur detecting means selects a part of the plurality of subject signals based on the blur signal and detects the image blur, so that the subject signal is accurately selected. it can.

The camera shake detecting device according to claim 6 is
3. The image blur detecting device according to claim 2, wherein the image blur detecting means changes the optical axis of the imaging optical system based on the blur signal, detects the image blur based on the corrected subject signal, and outputs the image blur signal. Since the output is performed, the configuration of the image blurring unit can be made simple and inexpensive.

The camera shake detecting device according to claim 7 is
3. The image blur detecting device according to claim 2, wherein the image blur detecting means detects a new image blur signal based on the detected image blur signal, thereby enabling more accurate image blur detection. Becomes

Further, the camera shake detecting device according to claim 8 is
2. The camera shake detection device according to claim 1, wherein the camera shake detection means outputs a signal indicating the inclination of the device with respect to the direction of gravity as the camera shake signal, so that the camera shake can be accurately and inexpensively detected. Become.

The camera shake detecting device according to claim 9 is
2. The camera shake detection device according to claim 1, wherein the shake detection means outputs a signal corresponding to the angular velocity of the apparatus as a shake signal, so that the angular velocity of the apparatus on any axis is not affected by the direction of gravity. It is possible to do.

According to a tenth aspect of the present invention, there is provided a camera shake correction apparatus including the camera shake detection apparatus according to any one of the first to ninth aspects, wherein the camera shake signal and the image shake output from the camera shake detection apparatus are provided. Since the camera shake correction means for performing camera shake correction based on the signal is provided, the camera shake can be corrected at high speed and with high accuracy with an inexpensive configuration.

[Brief description of the drawings]

FIG. 1 is a block diagram illustrating a configuration of a digital camera according to a first embodiment of the present invention.

FIG. 2 is a diagram schematically illustrating a configuration of a camera shake correction device for a digital camera according to the first embodiment.

FIG. 3 is a diagram showing an example of an external configuration of a moving coil according to the first embodiment.

FIG. 4 is a diagram for explaining a camera shake detection principle according to a second embodiment.

FIG. 5 is a diagram for explaining a camera shake detection principle according to the second embodiment.

FIG. 6 is a diagram for explaining a camera shake detection principle according to the second embodiment.

FIG. 7 is a diagram for describing a configuration of an image blur detection unit according to a second embodiment.

FIG. 8 is a diagram showing a detection timing of a subject image by an image blur detecting means according to a second embodiment.

FIG. 9 is a diagram showing a detection timing of a subject image by an image blur detecting means according to the second embodiment.

FIG. 10 is a diagram for explaining a method of detecting a phase difference between two subject signals according to the second embodiment.

FIG. 11 is a diagram for explaining a method of detecting a phase difference between two subject signals according to the second embodiment.

FIG. 12 is a diagram for explaining a configuration of an image blur detection unit according to a third embodiment.

FIG. 13 is a diagram for explaining an image blur detection principle of an image blur detection unit according to the third embodiment.

FIG. 14 is a diagram for explaining another configuration example of the image blur detecting means according to the third embodiment.

FIG. 15 is a diagram for describing a line memory for recording a subject signal according to the third embodiment.

FIG. 16 is a diagram showing detection timing of a subject signal according to the third embodiment.

FIG. 17 is a diagram for describing a configuration of an image blur detection unit according to a fourth embodiment.

FIG. 18 is a diagram for describing a configuration of an image blur detection unit according to a fourth embodiment.

FIG. 19 is a diagram for describing a configuration of an image blur detection unit according to a fifth embodiment.

FIG. 20 is a diagram for describing a configuration of an image blur detection unit according to a sixth embodiment.

FIG. 21 is a diagram for explaining a shake detecting unit according to the seventh embodiment.

FIG. 22 is a diagram for explaining a shake detecting unit according to the seventh embodiment.

FIG. 23 is a diagram for explaining a shake detecting unit according to the seventh embodiment.

FIG. 24 is a diagram for explaining a shake detecting unit according to the seventh embodiment.

FIG. 25 is a diagram for explaining a shake detecting unit according to the seventh embodiment.

FIG. 26 is a diagram for explaining a shake detecting unit according to the seventh embodiment.

FIG. 27 is a diagram for describing a shake detecting unit according to the seventh embodiment.

FIG. 28 is a diagram for describing a shake detecting unit according to the seventh embodiment.

FIG. 29 is a diagram for describing a shake detecting unit according to the seventh embodiment.

FIG. 30 is a diagram for describing a shake detecting unit according to the seventh embodiment.

FIG. 31 is a diagram for explaining a shake detecting unit according to the seventh embodiment.

FIG. 32 is a diagram for describing a shake detecting unit according to the seventh embodiment.

FIG. 33 is a diagram for describing a shake detecting unit according to the seventh embodiment.

FIG. 34 is a diagram for describing a shake detecting unit according to the seventh embodiment.

[Explanation of symbols]

 REFERENCE SIGNS LIST 100 Digital camera 101 Lens 102 Mechanical mechanism 103 CCD 104 CDS circuit 105 A / D converter 106 Digital signal processing unit 107 DCT 108 Coder 109 MCC 110 Buffer memory 111 Video amplifier 112 Memory 121 Controller 122 Display unit 123 Operating unit 124 Parameter memory 125 Motor driver 126 SG 127 Strobe 128 Camera shake detection device 129 Camera shake correction unit 129A Coil 129B Drive unit 130 Camera shake detection unit 131 Image shake detection unit

Claims (10)

[Claims] 1. A blur detecting means for detecting a shake of an apparatus and outputting a shake signal corresponding to the detected shake of the apparatus, and detecting an image shake of a subject image based on the shake signal and detecting the detected image. An image blur detecting device, comprising: an image blur detecting unit that outputs an image blur signal according to the blur. 2. The camera shake according to claim 1, wherein the image blur detecting means captures a subject image a plurality of times, and detects an image blur based on a subject signal obtained by capturing the plurality of times. Detection device. 3. The camera shake according to claim 2, wherein the image blur detection means detects an image blur by using a phase difference detection method based on a correlation method on the subject signal obtained by the plurality of imagings. Detection device. 4. The apparatus according to claim 2, wherein said image blur detecting means determines an image capturing timing based on said blur signal and detects image blur. 5. An apparatus according to claim 2, wherein said image blur detecting means detects image blur by selecting a part of a plurality of subject signals based on said blur signal. 6. The apparatus according to claim 2, wherein said image blur detecting means changes an optical axis of an imaging optical system based on said blur signal and detects image blur based on said corrected subject signal. The shake detection device according to the above. 7. An apparatus according to claim 2, wherein said image blur detecting means newly detects an image blur signal based on the detected image blur signal. 8. The camera shake detecting apparatus according to claim 1, wherein the camera shake detecting means outputs a signal indicating an inclination of the apparatus with respect to the direction of gravity as the camera shake signal. 9. The camera shake detecting apparatus according to claim 1, wherein the camera shake detecting means outputs a signal corresponding to an angular velocity of the apparatus as the camera shake signal. 10. A camera shake detection device according to claim 1, wherein camera shake correction is performed based on the camera shake signal and the image shake signal output from the camera shake detection device. A camera shake correction apparatus comprising a camera shake correction unit.