JP2000299874A - Signal processing apparatus and method, and imaging apparatus and method - Google Patents

Abstract

(57) [Problem] There is a problem that chromatic aberration occurs in a color image based on a color image signal obtained by imaging due to chromatic aberration of a lens, thereby deteriorating the image quality of the color image. In a signal processing apparatus and method, an amount of chromatic aberration according to a distance from a reference position in a color image based on a color image signal obtained by imaging is detected, and color aberration is detected based on the detected amount of aberration. Predetermined signal processing for correcting chromatic aberration is performed on the video signal. In the imaging device and the method, the amount of chromatic aberration according to the distance from the reference position in the color image based on the color image signal output from the photoelectric conversion unit is detected, and the aberration according to the detected distance from the reference position is detected. Based on the amount, predetermined signal processing for correcting chromatic aberration is performed on the color video signal.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a signal processing apparatus and method, and an imaging apparatus and method, and is suitably applied to, for example, a video camera.

[0002]

2. Description of the Related Art Conventionally, in a video camera, an optical image of a subject is charged through a lens system (CCD).
After the image is formed on the light receiving surface of the evice) and the video signal output from the CCD is subjected to predetermined signal processing, the obtained recording signal is recorded on a recording medium such as a video tape.

[0003]

Generally, a lens has a so-called chromatic aberration in which a focal position varies depending on a color. This is due to the fact that the refractive index of an object is expressed as a function of wavelength, and that light of different wavelengths with the same refractive index is refracted at different angles.

In a conventional video camera, a lens
Due to such chromatic aberration, as shown in FIG.
Red component of the optical image of the subject 2 formed on the light receiving surface 1 of the CD
Minute 3 _R, Green component 3_GAnd blue component 3_BDifference in size of
Occurs, and as a result, when the subject 2 is white, for example,
There was a problem that green and red lines were generated on the edge.

Therefore, it is considered that if the chromatic aberration of the lens can be corrected by a certain method in a video camera, the quality of a color image can be improved.

The present invention has been made in consideration of the above points, and has as its object to propose a signal processing apparatus and method, and an imaging apparatus and method capable of significantly improving the quality of a color image.

[0007]

According to the present invention, there is provided a signal processing apparatus, comprising: a chromatic aberration aberration corresponding to a distance from a reference position in a color image based on a color image signal obtained by imaging; There is provided an aberration amount detecting means for detecting the amount, and a signal processing means for performing predetermined signal processing for correcting the chromatic aberration on the color video signal based on the detected amount of aberration. As a result, according to this signal processing device, it is possible to correct the chromatic aberration in the color video based on the color video signal.

According to the present invention, in a signal processing method, a first step of detecting an amount of chromatic aberration according to a distance from a reference position in a color image based on a color image signal obtained by imaging; A second step of performing a predetermined signal processing for correcting the chromatic aberration on the color video signal based on the obtained aberration amount. As a result, according to this signal processing method, it is possible to correct the chromatic aberration in the color video based on the color video signal.

Further, according to the present invention, in an image pickup apparatus, an aberration amount detecting means for detecting an amount of chromatic aberration according to a distance from a reference position in a color image based on a color image signal output from the photoelectric conversion means; Signal processing means for performing predetermined signal processing for correcting chromatic aberration on the color video signal based on the amount of aberration corresponding to the detected distance from the reference position is provided. As a result, according to this imaging device, it is possible to correct the chromatic aberration in the color video based on the color video signal output from the photoelectric conversion means.

Further, in the present invention, in the imaging method, a first step of detecting an amount of chromatic aberration according to a distance from a reference position in a color image based on a color image signal output from the photoelectric conversion means; A second step of performing predetermined signal processing for correcting chromatic aberration on the color video signal based on the amount of aberration corresponding to the detected distance from the reference position. As a result, according to this imaging method, it is possible to correct the chromatic aberration in the color video based on the color video signal.

[0011]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS An embodiment of the present invention will be described below in detail with reference to the drawings.

(1) Principle In a video camera, a size approximated by a cubic curve having a distance from the center of the screen as a parameter as shown in FIG. 1 in a color video screen based on a color video signal obtained by shooting. Chromatic aberration occurs. In FIG. 1, the aberration amounts of red (R) and blue (B) with respect to green are shown.

Accordingly, in the video camera, the red and blue aberrations CA _R and CA _B with respect to green corresponding to the distance L from the center O of the screen as shown in FIG. curve performs a predetermined correction process for red and blue in accordance with (hereinafter, these are referred to as chromatic aberration characteristic curve) K _R, respectively obtained from K _B, the amount of aberration resulting red and blue CA _R, CA _B This is considered to prevent image quality deterioration due to chromatic aberration.

However, the chromatic aberration characteristics of the lenses are different for each individual even of the same type, and even for one lens, they vary for each focus position. Therefore it can not be used in combination chromatic aberration characteristic curves K _R as described above, the data of the K _B of a plurality of video cameras. The generating such chromatic aberration characteristic curve K _R, the data of the K _B for each video camera, a very troublesome work.

[0015] Therefore, in the video camera, based on the color image signal obtained by the imaging respectively generated above chromatic aberration characteristic curves K _R, the data of the K _B for each focus position, data for each focus position thus generated if it is possible to perform the correction process with respect to the chromatic aberration based on the chromatic aberration characteristic curve K _R by the manufacturer of the video camera, while omitting generation work data K _B, the high quality color image of the user It is believed that it can be provided.

In this case, as a method of detecting the amounts of red and blue aberrations CA _R and CA _B with respect to green as a reference, as shown in FIG. 3, a green component at a point having an effective edge in the screen is represented. determined in the first pixel PC _G, which the corresponding red component or second and third pixel PC _R represents respectively a blue component, the distances l _R of the PC _B, a l _B, respectively, red, and their respective Blue aberrations CA _R , C
A _B.

However, such first and second pixels P
Between C _G and PC _{R and} between the first and third pixels PC _G and P
The distance between C _B l _R, upon obtaining the l _B, second and third pixel PC _R for the previous first of all pixel PC _G, P
It is necessary to confirm by a predetermined calculation processing that is C _B corresponds. Although such arithmetic processing can be performed by a block matching method or the like, there is a problem that an enormous amount of arithmetic is required because arithmetic is required in each of the horizontal direction and the vertical direction.

In the present invention, the first
In order to avoid the complexity of the process of detecting the correlation between the pixel PC _G and the second and third pixels PC _R and PC _B , only data corresponding to several scanning lines at the center of the screen as shown by hatching in FIG. 4 is used. Then, the red and blue aberration amounts CA _R and CA _{B based} on green corresponding to the distance L from the screen center O are detected for each focus position.

By using only the data for several scanning lines at the center of the screen in this way, the chromatic aberration in the vertical direction can be neglected for several scanning lines at the center of the screen. Second pixel PC _G , PC _R
And the first and third pixel PC _G, may be retreive on the same scan line PC _B, there is an advantage capable of dramatically reducing the amount of computation by omitting correlation calculation of that amount vertically.

Also, the first and second pixels PC _G and PC _R and the first and third pixels PC which have such a correlation have the same relationship.
_G, if detecting PC _B pixels, the distance between them l _R, red l _B is the basis of the green and blue of the aberration C
Because of A _R and CA _B , the distance L from the screen center O
Chromatic aberration characteristic curves K _R , K shown in FIG. 1 based on a plurality of samples of the red and blue aberration amounts CA _R , CA _B different from each other.
_B can be calculated, and the calculated chromatic aberration characteristic curves K _R , K _B
The correction processing for the chromatic aberration can be performed based on the above data.

(2) Configuration of Video Camera According to the Present Embodiment FIG. 6 shows a video camera 10 according to the present embodiment.
2, the optical image of the subject is separated into a red component, a green component, and a blue component by the prism 12, and these are respectively separated into first to third CCDs 13R, 13G, and 1G.
An image is formed on the light receiving surface of 3B.

First to third CCDs 13R, 13G, 13
B denotes a red image signal S1R, a green image signal S1G, or a blue image signal obtained by photoelectrically converting a red component, a green component, and a blue component of the optical image of the subject formed on the light receiving surface in the shooting mode. S1B respectively correspond to first to third analog / digital conversion circuits 14R, 14G, 1
4B.

The first to third analog / digital conversion circuits 14R, 14G, and 14B convert the supplied red video signal S1R, green video signal S1G, or blue video signal S1B into digital data, and obtain red video data. D
1R, green image data D1G or blue image data D1B
Is sent to the screen center extraction unit 15 and the horizontal direction correction processing unit 16.

The screen center extracting unit 15 extracts several scan lines of data at the center of the screen from the supplied red image data D1R, green image data D1G and blue image data D1B, respectively. The extracted green image data D2G and the extracted blue image data D2B are sent to the correlation detection unit 17.

Based on the supplied extracted red image data D2R, extracted green image data D2G, and extracted blue image data D2B, the correlation detector 17 extracts the extracted red image data D2R, extracted green image data D2G, and extracted blue image data. Detect valid edges in the partial color image based on D2B.

Further correlation detecting unit 17 based on this detection result, the first pixel PC _G representing the green component of the effective edge for each scanning line (Fig. 5), the first pixel PC _G
And the second and third pixels PC _R and PC _B respectively representing the red component and the blue component of the edge corresponding to, and the detection results are extracted as red image data D2R, extracted green image data D2G, and extracted blue image. Data D2
Along with B, it is sent to the aberration detection unit 18 as a correlation detection signal S2.

In the edge detection as described above, a luminance signal of a color image in which the position of each pixel is a variable x for each scanning line is determined based on the extracted red image data D2R, extracted green image data D2G, and extracted blue image data D2B. f
This can be performed by generating (x) and performing a Laplacian operation (second order differentiation) on x.

The above-described correlation detection between pixels is performed by the following equation for several pixels before and after an edge for each scanning line.

[0029]

(Equation 1)

And the following equation

[0031]

(Equation 2)

As described above, the extracted green image data D2G
The arithmetic processing of adding all the differences between the extracted red video data D2R and the extracted blue video data D2B is performed on the extracted red video data D2G with respect to the extracted green video data D2G.
This can be performed by sequentially shifting the 2R or extracted blue video data D2B one pixel at a time, and determining that there is a correlation when the added values T _GR and T _GB are the smallest.
Note (1) and (2) G _i in formula, R _j, B _j is withdrawn green image data D2G, sampling the red image data D
I or j in 2R and extracted blue video data D2B
Represents the data value of the th pixel.

Based on the supplied correlation detection signal S2, the aberration detector 18 detects the first pixel PC _G (FIG. 5) representing the green component of the correlated edge and the red component or blue component of the edge, respectively. Second and third pixels P representing the components
C _R, PC _B distance (FIG. 5) l _R, by determining the l _B (FIG. 5), the red and blue aberration relative to the green corresponding to the distance L from the center O (FIG. 5) The amount CA _R, C
A _B are respectively detected, and the detection result is used as an aberration amount detection signal S3.
Is sent to the approximate expression generation unit 19.

Based on the supplied aberration amount detection signal S3, the approximate expression generation unit 19 calculates the following expression for red and blue.

[0035]

(Equation 3)

[0036] of a, b, chromatic aberration characteristic curves K _R of FIG. 1 by obtaining the value of c in the least squares method, the approximate expression of the K _B respectively calculated, CPU the calculation result as an approximate expression signal S4
(Central Processing Unit) 20. Note in this (3) Y represents aberration amount CA _R, the CA _B,
X represents a position from the screen center O.

The CPU 20 supplies the approximate expression signal S4
Red and blue color aberration characteristics with respect to green obtained based on the curve K _R, the data of the approximate expression of K _B, the lens driving unit 2
The data is stored in the memory 22 in correspondence with the focus position of the lens 11 at this time obtained based on the focus position signal S5 given from 1.

Further CPU20 is the shooting mode after this, the chromatic aberration characteristics corresponding to the focus position of the lens 11 at that time obtained on the basis of the focus position signal S5 supplied from the lens drive unit 21 curves K _R, approximation of K _B The formula data is read from the memory 22.

[0039] The CPU20, for each pixel on the basis of this data, as shown in FIG. 7, the aberration of the red and blue relative to the green CA _R, calculates the CA _B, the aberration amount CA _R, CA _B The horizontal and vertical aberrations CA _RH and CA _{BH of} the red and blue colors and the vertical aberration C based on
A _RV and CA _BV are calculated respectively, and the horizontal aberration amounts CA _RH and CA _BH of red and blue with respect to green are transmitted to the horizontal direction correction processing unit 16 as a horizontal aberration amount signal S6H, and the red and blue with respect to green are also transmitted. In the vertical direction C
A _RV and CA _BV are sent to the vertical direction correction processing unit 23 as the vertical aberration amount signal S6V.

The horizontal direction correction processing section 16 receives the red image data D1R and the green image data supplied from the first to third analog / digital conversion circuits 14R, 14G and 14B based on the supplied horizontal aberration amount signal S6H. D1G and red image data D1R of blue image data D1B
A predetermined correction process for chromatic aberration is performed on the blue video data D1B.

In practice, such a correction process is performed for each pixel. For example, red is one-third of the pixel-to-pixel distance with respect to green.
(Ie, the horizontal red aberration amount CA _RH is one-third of the distance between pixels in the positive direction), the red pixel data of the pixels surrounding the target pixel is shifted to the left. Based on the target pixel, a red pixel data value at a position shifted to the right in the horizontal direction by 1/3 of the pixel-to-pixel distance is calculated using a general interpolation method, and the calculation result is calculated using the red color of the target pixel. This can be performed by replacing the pixel data.

The horizontal direction interpolation processing section 16 vertically corrects the red image data D3R and the blue image data D3B obtained by such correction processing and the green image data D1G which has not been subjected to the correction processing. Part 2
3

The vertical direction correction processing unit 23
0 based on the vertical aberration amount signal S6V supplied from the horizontal direction correction processing unit 16
3R, green image data D1G and blue image data D3B
Red image data D3R and blue image data D3
B is corrected for chromatic aberration in the same manner as in the horizontal direction.

The vertical direction correction processing section 23 converts the red image data D4R and the blue image data D4B obtained by such correction processing and the green image data D1G not subjected to the correction processing into signal processing sections 24, respectively. To send to.

The signal processing section 24 performs predetermined signal processing such as white balance correction processing and γ correction processing on the supplied red video data D4R, green video data D1G and blue video data D4B, and obtains the obtained recording. Data D5
Are sequentially and alternately transmitted to the first and second magnetic heads 25A and 25B mounted on a rotating drum (not shown) while switching at predetermined timing.

As a result, the recording data D5 is recorded on the video tape 26 via the first and second magnetic heads 25A and 25B. Thus, this video camera 1
In the case of 0, the video data of the subject obtained by shooting is subjected to chromatic aberration correction processing and then recorded on the video tape 26.

In this embodiment, the red image data D4R, the green image data D1G and the blue image data D4B output from the vertical direction correction processing unit 23 are also supplied to the approximate expression generation unit 19.

At this time, based on the supplied red image data D4R, green image data D1G, and blue image data D4B, the approximate expression generation unit 19 determines whether the edge of the subject is at a certain signal level or higher, or the green image for the red image data D4R Whether the ratio of the video data D1G and the ratio of the green video data D1G to the blue video data G4B are equal to or greater than a certain value, S
The chromatic aberration correction processing in the horizontal direction correction processing unit 16 and the vertical direction correction processing unit 23 is evaluated by determining whether the / N ratio is a certain value or more.

When the approximation formula generation unit 19 determines that the chromatic aberration correction processing is insufficient as an evaluation, the approximation expression generation unit 19 then uses the aberration detection signal S3 given from the aberration detection unit 18 again to determine whether the red or red color is correct. for blue, (3) of a, b, chromatic aberration characteristic curves K _R of FIG. 1 by finding the least square value of c, to calculate the approximate expression of the K _B again, the calculation result as an approximate expression signal S4 Send to CPU20.

[0050] At this time CPU20, the corresponding chromatic aberration characteristic curve K _R, the data of the approximate expression of K _B, the chromatic aberration characteristic curves K of red and blue are obtained on the basis of the approximate expression signal S4 stored in the memory 22 _R, and updates the approximate expression data K _B, the horizontal and vertical aberration CA _RH for red and blue pixels as described above after this, CA
The arithmetic processing of _RV , CA _BH and CA _BV is performed based on the updated data.

[0051] In the video camera 10 in this manner, the chromatic aberration characteristic curve K _R which is stored in the memory 22, K _B
The data of the approximate expression is updated as necessary, so that a high-quality image can always be recorded on the video tape 26.

(3) Operation and Effect of the Present Embodiment In the above configuration, the video camera 10 has a screen center O based on the red video data D1R, green video data D1G, and blue video data D1B obtained by shooting.
Calculated respectively detected, the chromatic aberration characteristic curve K _R of FIG. 1 based on the detection result, an approximate expression of the K _B distance red and blue aberration of green as a reference corresponding to the L CA _R, the CA _B from Then, the chromatic aberration in the horizontal and vertical directions is corrected for each pixel based on the approximate expression.

Therefore, the video camera 10 can record a high-quality image on the video tape 26 while preventing deterioration of the image quality due to chromatic aberration.

[0054] Also in the video camera 10, the chromatic aberration characteristic curve K _R of FIG. 1, the approximate equation of K _B, the red image data D1R obtained by photographing, based on the green image data D1G and blue image data D1B automatic The chromatic aberration characteristic curves K _R , K _B
The productivity can be improved by eliminating the trouble of generating the data.

[0055] Further, in the video camera 10, when thus the chromatic aberration characteristic curve K _R, automatically generates an approximate expression of the K _B, because you have to use only the data of several scanning lines in the center of the screen , The chromatic aberration characteristic curve K
_R, the amount of calculation when calculating the approximate expression of the K _B can be remarkably reduced.

According to the above configuration, the red and blue colors based on green corresponding to the distance L from the center O of the screen are determined based on the red video data D1R, green video data D1G, and blue video data D1B obtained by photographing. Aberration amount of CA _R ,
The CA _B respectively detected, the chromatic aberration characteristic curve K _R of FIG. 1 based on the detection result, and generates an approximate expression of the K _B, the chromatic aberration in the horizontal direction and the vertical direction for each pixel on the basis of the approximate expression By performing the correction, it is possible to prevent the image quality from deteriorating due to chromatic aberration, and thus to realize a video camera capable of remarkably improving the image quality of a color image.

(4) Other Embodiments In the above-described embodiment, the case where the present invention is applied to the video camera 10 has been described. However, the present invention is not limited to this, and handles color images. In addition, the present invention is suitable for application to signal processing circuits in various devices, imaging devices, and the like.

In the above-described embodiment, the case where the center O of the screen is selected as the reference position in the color image has been described. However, the present invention is not limited to this. You may do it.

Further, in the above-described embodiment, a case has been described in which the amounts of red and blue aberrations CA _R and CA _B with respect to green are detected. However, the present invention is not limited to this. Or the amounts of red and green aberrations with respect to blue may be detected.

Further, in the above-described embodiment, based on a color video signal composed of red video data D1R, green video data D1G and blue video data D1B obtained by imaging, the distance L from the center O of the screen is determined. Aberration amount detecting means for detecting the chromatic aberration amounts CA _R and CA _B ,
Screen center sampling unit 15, correlation and hemostasis unit 17, aberration detection unit 18, approximate expression generation unit 19, CPU 20, and memory 22
Has been described, but the present invention is not limited to this, and other configurations may be adopted.

Further, in the above-described embodiment, the screen center extracting section 15, the correlation / hemostatic section 17, and the aberration detecting section 1
8. Amounts of aberrations CA _R , C detected by the amount-of-aberration detecting means including the approximate expression generation unit 19, the CPU 20, and the memory 22
A signal processing unit that performs predetermined signal processing for correcting chromatic aberration on the red video data D1R and the blue video data D1B based on A _B is provided by a horizontal correction processing unit 16 that performs horizontal interpolation and a vertical correction processing unit 16 that performs vertical interpolation. The case where the vertical direction correction processing unit 23 that performs the interpolation processing is used has been described. However, the present invention is not limited to this, and the signal processing unit may perform a predetermined signal for correcting chromatic aberration by processing other than the interpolation processing. A configuration for performing the processing may be adopted, and various other configurations can be widely applied as the configuration of the signal processing unit.

Further, in the above-described embodiment, an effective edge in a color image based on the red image data D1R, the green image data D1G, and the blue image data D1B is detected, and the distance from the screen center O is determined based on the detected edge. aberration CA _R chromatic aberration corresponding L, and it has dealt with the case of detecting the CA _B, the present invention is not limited thereto, from the screen center O on the basis of the characteristic site in the color image other than the edge Aberration amounts CA _R , CA _{B of} chromatic aberration according to distance L
May be detected.

[0063]

As described above, according to the present invention, in a signal processing apparatus, an aberration for detecting an amount of chromatic aberration according to a distance from a reference position in a color image based on a color image signal obtained by imaging. An amount detection unit and a signal processing unit that performs predetermined signal processing for correcting chromatic aberration on the color video signal based on the detected amount of aberration, so that a color image based on the color video signal is provided. Chromatic aberration can be corrected, and thus a signal processing device that can significantly improve the image quality of video can be realized.

According to the present invention, in the signal processing method, a first step of detecting an amount of chromatic aberration according to a distance from a reference position in a color image based on a color image signal obtained by imaging; A second step of performing a predetermined signal processing for correcting the chromatic aberration on the color video signal based on the detected amount of aberration, thereby correcting the chromatic aberration in the color video based on the color video signal. Thus, a signal processing method that can significantly improve the image quality of a video can be realized.

Further, according to the present invention, in the imaging apparatus, there is provided an aberration amount detecting means for detecting an amount of chromatic aberration according to a distance from a reference position in a color image based on a color image signal output from the photoelectric conversion means. And a signal processing unit that performs predetermined signal processing for correcting chromatic aberration on the color video signal based on the amount of aberration corresponding to the detected distance from the reference position. Chromatic aberration in a color image based on the output color image signal can be corrected, and thus an imaging device that can significantly improve the image quality of the image can be realized.

Further, according to the present invention, in the imaging method, a first step of detecting an amount of chromatic aberration according to a distance from a reference position in a color image based on a color image signal output from the photoelectric conversion means; And a second step of performing a predetermined signal processing for correcting the chromatic aberration on the color video signal based on the amount of aberration according to the detected distance from the reference position. A chromatic aberration in a color image based on the chromatic aberration can be corrected, and thus an imaging method capable of significantly improving the image quality of the image can be realized.

[Brief description of the drawings]

FIG. 1 is a characteristic curve diagram for explaining the relationship between the distance from the center of the screen and the magnitude of chromatic aberration.

FIG. 2 is a schematic diagram for explaining the magnitude of chromatic aberration according to the distance from the center of the screen.

FIG. 3 is a schematic diagram for explaining a method of detecting the amount of chromatic aberration.

FIG. 4 is a schematic diagram for explaining a method of detecting an aberration amount according to the present embodiment;

FIG. 5 is a schematic diagram for explaining a method for detecting an aberration amount according to the present embodiment;

FIG. 6 is a block diagram showing a configuration of a video camera according to the present embodiment.

FIG. 7 is a schematic diagram for describing a method of calculating the amount of aberration in the horizontal direction and the vertical direction.

FIG. 8 is a schematic diagram for describing chromatic aberration of a lens.

[Explanation of symbols]

10 video camera, 11 lens, 15 image center extraction unit, 16 horizontal direction correction processing unit, 17
Correlation detection unit 18 Aberration amount detection unit 19 Approximate expression generation unit 20 CPU 21 Lens driving unit 22
... Memory, 23... Vertical direction correction processing section, 24... Signal processing section, 25A, 25B... Magnetic head, 26... Video tape, CA _R , CA _RH , CAR _RV , CA _B , CA _BH ,
CA _BV ... Aberration amount, D1R, D3R, D4R... Red image data, D1G... Green image data, D1B, D3
B, D4B: blue image data, D2R: extracted red image data, D2G: extracted green image data, D2B
...... withdrawal blue image data, K _R, K _B ...... chromatic aberration characteristic _{curves, L, l R, l B} ...... distance, O ...... screen center, S2
...... Correlation detection signal, S3 ... Aberration amount detection signal, S4 ...
Approximate expression signal, S6H... Horizontal aberration amount signal, S6V... Vertical aberration amount signal.

Claims (16)

[Claims] 1. An aberration amount detecting means for detecting an amount of chromatic aberration according to a distance from a reference position in a color image based on the color image signal based on a color image signal obtained by imaging, and A signal processing unit for performing predetermined signal processing for correcting the chromatic aberration on the color video signal based on the amount of aberration detected by the amount detecting unit. 2. The aberration detecting means detects an effective edge in the color image and detects the amount of chromatic aberration according to the distance from the reference position based on the edge. Claim 1.
The signal processing device according to claim 1. 3. The aberration detecting means detects the amount of chromatic aberration according to the distance from the reference position, based on the color video signals for several scanning lines at the center of the screen. The signal processing device according to claim 1. 4. The signal processing apparatus according to claim 1, wherein the aberration amount detecting means detects the aberration amounts of red and blue relative to green according to a distance from a reference position in the color image. apparatus. 5. A method for detecting an amount of chromatic aberration according to a distance from a reference position in a color image based on the color image signal based on a color image signal obtained by imaging.
And performing predetermined signal processing for correcting the chromatic aberration on the color video signal based on the detected amount of aberration.
And a signal processing method. 6. The method according to claim 1, wherein in the first step, a valid edge in the color image is detected, and based on the edge, the amount of the chromatic aberration corresponding to the distance from the reference position is detected. Claim 5
3. The signal processing method according to 1. 7. In the first step, the amount of chromatic aberration corresponding to the distance from the reference position is detected based on the color video signals for several scanning lines at the center of the screen. The signal processing method according to claim 5, wherein 8. The signal processing according to claim 5, wherein in the first step, the aberration amounts of red and blue with respect to green corresponding to a distance from a reference position in the color image are detected. Method. 9. A photoelectric conversion means for photoelectrically converting an optical image of a subject, a lens for forming the optical image of the subject on a light receiving surface of the photoelectric conversion means, and a color video signal output from the photoelectric conversion means. Based on the color image signal, an aberration amount detection unit that detects an amount of chromatic aberration according to a distance from a reference position in the color image, and the aberration amount detection unit detects the amount of chromatic aberration from the reference position. An image pickup apparatus comprising: signal processing means for performing predetermined signal processing for correcting the chromatic aberration on the color video signal based on the amount of aberration according to a distance. 10. The aberration detecting means detects an effective edge in the color image and detects the amount of chromatic aberration according to the distance from the reference position based on the edge. Claim 9
An imaging device according to claim 1. 11. The aberration detecting means detects the amount of chromatic aberration corresponding to the distance from the reference position, based on the color video signals for several scanning lines at the center of the screen. The imaging device according to claim 9. 12. The imaging apparatus according to claim 9, wherein said aberration amount detecting means detects said red and blue aberration amounts with respect to green according to a distance from a reference position in said color image. . 13. An optical image of a subject is formed on a light receiving surface of a photoelectric conversion means via a lens, and a color image based on the color video signal is output based on the color video signal output from the photoelectric conversion means. A first step of detecting an amount of chromatic aberration according to the distance from the reference position, and detecting the chromatic aberration with respect to the color video signal based on the detected amount of aberration according to the detected distance from the reference position. And a second step of performing a predetermined signal processing for correcting the image signal. 14. The method according to claim 1, wherein in the first step, a valid edge in the color image is detected, and the amount of chromatic aberration corresponding to the distance from the reference position is detected based on the edge. Claim 1.
3. The imaging method according to 3. 15. In the first step, the amount of chromatic aberration corresponding to the distance from the reference position is detected based on the color video signals for several scanning lines at the center of the screen. The imaging method according to claim 13, wherein: 16. The imaging method according to claim 13, wherein in the first step, the amounts of aberration of red and blue with respect to green corresponding to a distance from a reference position in the color image are detected. .