JP2002298136A - Conversion program into painting style image - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a program capable of converting the original image depicted in a mechanical tone by the photo or CG into a painting style image without much labor and time. SOLUTION: The conversion program into the painting style image in which the input original image in a mechanical tone is converted into the painting style image comprises a composite step of composing the original image with a filter image prepared by the predetermined variable density pattern so as to provide the target picture feeling in the original image.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a program for converting a picture into a picture-like image. More specifically, the present invention relates to a program for using a computer to convert an original image drawn mechanically by a photograph or CG (computer graph fix) into an image drawn in a pictorial style.

[0002]

2. Description of the Related Art Hitherto, various dealers have been promoting advertisements by placing photographs or CG images to be sold on flyers or magazines. Photos and CG images are clear and easy to understand. However, recently, rather than such a clear so-called machine-like image, a picture-like image written by a human, that is, an image having a little blurring or unevenness of color has become more popular. Is coming. The reason is that the painting-like image has a soft and familiar appearance, and is interesting and easy to give a real feeling.

[0003]

On the other hand, although it is possible to create a painting-like image from the beginning by using CG, it takes much time and effort. It is also possible to create a painting-like image by reading a photograph with a scanner and changing the data, but the data must be changed manually, which also requires much time and effort. . The present invention has been made in view of the above-described problems, and has as its object to provide a program capable of converting an original image drawn mechanically by a photograph or CG into a painting-like image without much effort and time. I do.

[0004]

In order to solve the above-mentioned problem, the invention of claim 1 is to provide an original mechanical tone image G
0 is a conversion program TP into a painting-like image for converting 0 into a painting-like image GK, wherein the original image G0 and the original image G0
And a combining step K3 for combining a filter image GF created with a predetermined shading pattern so as to give a desired picture feeling. According to the first aspect of the invention, the synthesizing step K3 synthesizes the input mechanical tone original image G0 and the filter image GF to convert them into a painting tone image GK. The filter image GF is created in a predetermined shading pattern so that the original image G0 has a desired picture feeling. The combining process is performed by a simple operation using, for example, a keyboard or a mouse in a personal computer, and there is no need to manually change data. That is, the painting-like image GK can be obtained without much trouble and time.

According to the second aspect of the present invention, the synthesizing and synthesizing step K3 further includes, for a pixel lower than the intermediate density in the filter image GF, the density value S of the pixel of the original image G0 corresponding to the pixel. Further lower, for pixels higher than the intermediate density in the filter image GF,
A conversion is performed to further increase the density value S of the pixel of the original image G0 corresponding to the pixel, and the density value D obtained by the conversion is converted to the density value S of the input original image G0.
Is a linear function for. According to the second aspect of the present invention, the pixels of the original image G0 are "stained" in the density M of the pixels of the filter image GF, and the synthesis is performed.
Since this synthesis is performed on a pixel basis, it can be expected that the synthesis will be performed finely. Further, since the density value D obtained by the conversion is a linear function with respect to each density value S of the input original image G0, the effect of the combination is reflected on all the density values S of the input original image G0. Is done.

According to the third aspect of the present invention, the synthesizing step K
Reference numeral 3 denotes conversion for further lowering the density value S of the pixel of the original image G0 and conversion for further increasing the density value S of the pixel of the original image G0 for each of the three primary colors. According to the third aspect of the invention, the input color original image G0
Is combined with the filter image GF to obtain a painting-like image GK.

According to the fourth aspect of the present invention, it is possible to adjust the degree of further lowering the density value S of the pixel of the original image G0 and the degree of further increasing the density value S of the pixel of the original image G0. According to the fourth aspect of the present invention, in the case of converting the image into an image giving various picture feelings, it is possible to realize various forms regarding the strength of the appearance of the pattern in the painting-like image GK by adjusting the degree. Can be.

According to a fifth aspect of the present invention, the synthesizing step K3
Before the processing according to (1), a sharpening step K1 for further sharpening the outline of the original image G0 is provided. Claim 5
According to the invention, the edge of the finally obtained painting-like image GK does not become blurred due to the combination with the filter image GF.

In this specification, the original image is, for example,
It may be used to mean image data of a CG image or image data such as a photograph read by a scanner. Also, a filter image may be used in the sense of image data. That is, "image" may be interpreted as image data.

[0010]

DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, a conversion program TP according to an embodiment of the present invention will be described with reference to the accompanying drawings. The conversion program TP is a floppy (registered trademark)
It is stored in a storage medium such as a disk or a CD-ROM.
Alternatively, the program may be downloaded from a suitable program distribution server to a hard disk of a personal computer or the like. FIG. 1 is a diagram showing an original image G0, and FIG.
FIG. 3 is a diagram showing an example of a painting-like image GK, and FIG. 4 is a diagram showing an example of a filter image GF. Conversion program TP
Converts the input original image G0 into a painting-like image GK. The original image G0 is, for example, an image obtained by reading a photograph with a scanner, or an image drawn mechanically by CG, and has no blur or spots on the image as shown in FIG. Note that the original image G0 is a color image. On the other hand, in the painting-like image GK1 of FIG. 2, there are spots on the roof and walls of the house, and the sky and the ground are blurred as if they were mist, giving a watercolor impression. Further, in the painting-like image GK2 of FIG. 3, a mesh-like light and shade pattern appears as a whole, and the feeling of an oil painting drawn on the canvas is obtained.

The conversion to the painting-like image GK is performed by the filter image GF. The filter image GF is incorporated in the conversion program TP and has a predetermined shading pattern so that the original image G0 has a desired picture feeling. For example, the filter image GF in FIG. 4 is for converting into a painting-like image GK1 that feels like a watercolor painting. The proportion of black is large near the center, white gradually mixes as the distance from the center increases, and in the periphery, It is a monochrome gray-scale image having a pure white pattern. Although not shown, the filter image GF incorporates several types of filter images GF, in addition to the filter image GF. They have different shade patterns from each other, feeling like being drawn on canvas, feeling like being in the clouds, feeling like blowing wind, feeling like being drawn on denim fabric, feeling with water droplets , And those for creating a sketch-like feeling.

Next, the processing performed by the conversion program TP will be described. FIG. 5 is a flowchart showing an outline of the processing contents performed by the conversion program TP. As shown in FIG. 5, the conversion program TP includes a sharpening step K
1. Stretch step K2, synthesis step K3, brightness adjustment step K4, and contrast adjustment step K5
Having. In the sharpening step K1, a process of further sharpening the contour of the original image G0 as the input image is performed. This processing is performed so that the edge of the finally obtained painting-like image GK does not become blurred due to the combination with the filter image GF. In the stretching step K2, the size of the original image G0 and the filter image GF
If the sizes do not match, a process for matching the two is performed. Specifically, in the original image G0, the ratio between the width direction coordinate value and the height direction coordinate value of the pixel of interest is determined, and in the filter image GF, the position of the pixel corresponding to the ratio is determined in the original image G0. It is assumed that the pixel corresponds to the pixel that has been set. This association is performed for the entire original image G0. As a result, the filter image GF is substantially expanded or reduced so that the width and height of the original image G0 and the width and height of the filter image GF respectively match.

In the synthesizing step K3, a process of synthesizing the original image G0 and the filter image GF by a conversion formula (* 1) described later is performed. In the brightness adjustment step K4, when the filter image GF is synthesized in the synthesis step K3, a process of adjusting the tone of the synthesized image is performed. In contrast adjustment step K5, a process of adjusting contrast is performed. As a result, even if the tone and contrast of the image obtained in the synthesis step K3 decrease, the image is adjusted to an appropriate value. The above processing from step K1 to step K5 is performed by a simple input operation such as a keyboard or a mouse in, for example, a personal computer on which the conversion program TP operates. Therefore,
There is no need to manually change the data, and the painting-like image GK can be obtained without much trouble and time.

Next, the processing in the combining step K3 will be described in detail. The synthesis of the original image G0 and the filter image GF is performed based on the following conversion formula (* 1). When M <128, Dr = Sr− {Sr × (128−M) × P / (128 × 1000)} Dg = Sg− {Sg × (128−M) × P / (128 × 1000)} Db = Sb− {Sb × (128−M) × P / (128 × 1000)} When M ≧ 128, Dr = Sr + {(255−Sr) × (M−128) × P / (128 × 1000)} Dg = Sg + {(255-Sg) * (M-128) * P / (128 * 1000)} Db = Sb + {(255-Sb) * (M-128) * P / (128 * 1000)} ... ( * 1)

In the conversion equation (* 1), each parameter is defined as follows. That is, Sr, Sg, and Sb respectively represent the color of an arbitrary pixel in the original image G0 by the color 3
These are the density values of each of the R, G, and B colors when they are separated into the primary colors red (R), green (G), and blue (B). M is a density value of an arbitrary pixel in the filter image GF. D
r, Dg, and Db are the density values of each of the R, G, and B colors output by the conversion formula (* 1). P is a parameter for adjusting the degree of synthesis. Note that the density value S and the density value M may be simply described as input S and output M, respectively, and the parameter P may be described as an applied amount P.

Here, in order to facilitate understanding of the conversion equation (* 1), referring to FIGS.
The conversion equation (* 2), which is the basis for combining 0 and the filter image GF, and the conversion equation (* 3), which is an improved equation of the conversion equation (* 2), will be described. FIG. 6 shows the conversion formula (* 2)
FIG. 9 is a diagram showing the relationship between the input S and the output D of the filter image GF by changing the density value M of the filter image GF in three ways. FIG. 6A shows M = 12.
8, FIG. 6 (B) shows M = 0, FIG. 6 (C) shows M
= 255. The conversion equation (* 2) is expressed as follows. D = S + (M−128) (* 2) However, if D <0, D = 0, and if D> 255, D
= 255.

The conversion equation (* 2) performs the following conversion on the input S. That is, for a pixel (128 <M ≦ 255) where the density value M is higher than the intermediate density (= 128) in the filter image GF, the density value S of the pixel of the original image G0 corresponding to the pixel is further increased. For a pixel (0 ≦ M <128) where the density value M is lower than the intermediate density in the filter image GF, the density value S of the pixel of the original image G0 corresponding to the pixel is further lowered, and the density value For a pixel whose M is an intermediate density, the density value S of the pixel of the original image G0 corresponding to the pixel is output as it is.

For example, when the density value M of a pixel of the filter image GF is 0, as shown in the right half of FIG. 6B, a bright pixel (having a density value of 1) of the original image G0 corresponding to that pixel.
28-255). When the density value M of the pixel of the filter image GF is 255, as shown in the left half of FIG. 6C, the dark pixel of the original image G0 corresponding to that pixel becomes bright. That is, the pixels of the original image G0 are
The density of the corresponding pixel of the filter image GF becomes "dyed", whereby the composition is performed. Since this synthesis is performed on a pixel basis, it can be expected that the synthesis will be performed finely. By applying the conversion formula (* 2) to the original image G0 for each of the three primary colors R, G, and B, the filter image GF can be synthesized with the color image.

In the conversion formula (* 2), when the output D becomes negative, D is set to 0, and when the output D exceeds 255, D is set to 255. Therefore, as shown in the left half of FIG. 6B, the density value M of the pixel of the filter image GF
Is smaller, the dark pixel of the original image G0 corresponding to that pixel becomes 0 irrespective of the density value S. Conversely, when the density value M of the filter image GF is large, FIG.
, The bright part of the original image G0 becomes 255 irrespective of the density value S. For this reason, the effect of combination is not always reflected on all of the inputs S. This problem is improved by the following conversion equation (* 3).

The conversion equation (* 3) is expressed as follows. When M <128, D = S × M / 128 When M ≧ 128, D = S + {(255−S) × (M−128) / 128} (* 3)

FIG. 7 shows the input S and output D of the conversion formula (* 3).
FIG. 11 is a diagram showing the relationship between the filter image GF and the density value M of the filter image GF in five ways. The straight line L1 is M = 0, the straight line L2 is M = 64, the straight line L3 is M = 128, the straight line L
4 indicates the case where M = 192, and the straight line L5 indicates the case where M = 255. As shown in FIG. 7, the conversion equation (* 3) is
Since the function is a linear function for all the inputs S, the above-described problem in the conversion formula (* 2) is improved, and the effect of the combination is reflected for all the inputs S. In particular, when the density value M of the filter image G0 is 0 as in the straight line L1, the output D is 0. Further, when the density value M of the filter image G0 is 255 as in the straight line L5, the density becomes 255 for all the inputs S. Therefore, by using an image whose peripheral portion is drawn in white as the filter image GF, the peripheral portion of the original image G0 also becomes white, giving a feeling like a watercolor drawn on a white drawing paper.

The conversion equation (* 1) is created based on the conversion equation (* 3), and is a linear function for all the inputs S. Further, the degree of synthesis can be adjusted by the parameter P. In order to convert the conversion equation (* 3) into a conversion equation that can adjust the degree of synthesis, first, the conversion equation (* 3) is modified as (* 3 ′). When M <128, D = S− {S × (128−M) / 128} When M ≧ 128, D = S + {(255−S) × (M−128) / 128} (3) ') In order to convert the conversion formula (* 3') into a conversion formula capable of adjusting the degree of synthesis, the following conversion formula (* 4) is obtained by including a term including the parameter P. When M <128, D = S− {S × (128−M) / 128} × P / 1000 When M ≧ 128, D = S + {(255−S) × (M−128) / 128} × P / 1000 (* 4)

The parameter P is for determining the degree to which the filter image GF is to be synthesized at the time of synthesis.
The value can be set from 0 to 1000 by the user.
When the parameter P is 1000, 100% is applied. In FIG. 7, the filter image GF is set to 1
The results when 00% was applied are shown. FIG.
In the conversion formula (* 4), the density value M of the filter image GF
Is a diagram showing the relationship between an input S and an output D by changing an applied amount P into three types, with 0 being set to 0. FIG. FIG. 7A shows that when P = 0,
FIG. 7B shows a case where P = 500, and FIG. 7C shows a case where P = 10.
00 is shown. When the application amount P is 0, it means that the filter image GF is not applied.
As shown in (A), the original image G0 is output as it is. When the applied amount P is 1000, it means that all of the filter images GF are applied. Therefore, as shown in FIG. 7C, the original image G0 is output as an image having a density value of 0. Application amount P
Is 500, the degree of synthesis of the filtered image GF is 50% as shown in FIG. 7B. By rearranging the conversion formula (* 4) and expressing each of R, G, and B, the conversion formula (* 1) shown first is obtained.

The effect of the application amount P is as follows. For example, if the filter image GF is an image in which unevenness is represented by a light and shade pattern, the size of the unevenness can be adjusted by the application amount P in the conversion formula (* 1).
That is, if the filter image GF is a shaded image having a pattern in which the concave portions of the mesh on the canvas surface are drawn lightly and the convex portions are drawn dark,
By increasing the application amount P, the following composite image can be obtained. That is, by increasing the application amount P, the degree of color fading in the concave portions increases, and the degree of color deepening in the convex portions increases. This gives the impression that the unevenness has been drawn on the large canvas. Conversely, by reducing the applied amount P, it is felt that the unevenness has been drawn on a small canvas. By changing the value of the applied amount P, not only the conversion to the feeling drawn on the canvas, but also the conversion to an image that gives the feeling of various other pictures, various changes in the strength of the appearance of the pattern, etc. The form can be realized.

As described above, the conversion program TP
In, by combining the input original image G0 with the filter image GF by the conversion equation (* 1), a painting-like image GK is obtained. The processing of the conversion program TP is performed by a simple input operation such as a keyboard or a mouse. Therefore, there is no need to manually change the data and the painting-like image GK can be performed without much trouble and time.
Is obtained.

Further, since the synthesis by the conversion formula (* 1) is performed on a pixel-by-pixel basis, it can be expected that the synthesis is performed finely. Since the conversion formula (* 1) is a linear function for all the inputs S, the effect of the combination is reflected for all the inputs S. Further, by applying the conversion equation (* 2) to the original image G0 for each of the three primary colors R, G, and B, the filter image GF can be synthesized with the color image. Also, by changing the value of the application amount P,
Even when converting to an image that gives various picture feelings,
Various modes can be realized for the strength of the appearance of the pattern and the like. Further, the sharpening step K1 performs processing for further sharpening the outline of the original image G0, which is the input image, so that the edge of the finally obtained painting-like image GK is blurred by synthesis with the filter image GF. do not become.

[0027]

According to the present invention, an original image drawn mechanically by a photograph or CG can be converted into a picture-like image without much trouble and time. According to the invention of claim 2, it can be expected that the obtained painting-like image is finely synthesized. In addition, the effect of combination is reflected on all the density values of the input original image. According to the third aspect of the present invention, a painting-like image is obtained by synthesizing a filter image also with an input color original image. According to the fourth aspect of the present invention, when the user changes the value of the application amount to convert the image into an image that gives a variety of pictorial feelings, it is possible to realize various forms of the strength of the appearance of the pattern and the like. . According to the fifth aspect of the present invention, the edge of the finally obtained painting-like image does not become blurred due to the combination with the filter image.

[Brief description of the drawings]

FIG. 1 is a diagram showing an original image.

FIG. 2 is a diagram illustrating an example of a painting-like image.

FIG. 3 is a diagram illustrating an example of a painting-like image.

FIG. 4 is a diagram illustrating an example of a filter image.

FIG. 5 is a flowchart showing an outline of processing contents performed by a conversion program.

FIG. 6 is a diagram showing the relationship between the input and output of the conversion formula (* 2) by changing the density value of the filter image into three types.

FIG. 7 is a diagram showing the relationship between the input and output of the conversion formula (* 3) by changing the density value of the filter image into five values.

FIG. 8 is a diagram showing the relationship between input and output in the conversion formula (* 4), with the density value of the filter image set to 0, and changing the application amount in three ways.

[Explanation of symbols]

 TP conversion program G0 Original image GK Painting style image GF Filter image K1 Sharpening step K3 Synthesis step

 ──────────────────────────────────────────────────続 き Continuing on the front page (72) Inventor Akiaki Morimoto 125 Sako Outer House, Kumiyama-cho, Kuse-gun, Kyoto Prefecture Inside (72) Inventor Koji Nishimura 125 Sako Outer House, Kumiyama-cho, Kuse-gun, Kyoto F term (reference) 5B057 AA11 CA08 CA12 CA16 CB08 CB12 CB16 CC01 CD05 CE03 CE08 CE11 5C076 AA12 AA27 5C077 MP08 NN02 PP03 PP23 PP32 TT08

Claims (5)

[Claims] 1. A program for converting an input mechanical tone original image into a painting tone image to convert it into a painting tone image, wherein the original image and a target picture feel are obtained in the original image. A program for converting into a painting-like image, comprising a synthesizing step of synthesizing with a filter image created with a predetermined shading pattern. 2. The method according to claim 1, wherein, for a pixel having a lower density than the intermediate density in the filter image, the density value of a pixel of the original image corresponding to the pixel is further lowered, For the higher pixel, a conversion is performed to further increase the density value of the pixel of the original image corresponding to the pixel, and the density value obtained by the conversion becomes the density value of each pixel of the original image. 2. The program according to claim 1, wherein the program is a linear function. 3. The synthesizing step includes performing, for each of three primary colors, conversion for lowering the density value of the pixels of the original image and conversion for further increasing the density value of the pixels of the original image. The program for converting into a painting-like image according to claim 2. 4. The painting according to claim 2, wherein the degree of further lowering the density value of the pixel of the original image and the degree of further increasing the density value of the pixel of the original image are adjustable. Conversion program for tonal images. 5. The program according to claim 1, further comprising a sharpening step for further sharpening the outline of the original image before the processing in the combining step. .