CN102420997B - Image processing method - Google Patents

Image processing method Download PDF

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Publication number
CN102420997B
CN102420997B CN201010298196.9A CN201010298196A CN102420997B CN 102420997 B CN102420997 B CN 102420997B CN 201010298196 A CN201010298196 A CN 201010298196A CN 102420997 B CN102420997 B CN 102420997B
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image
brightness
ratio
redness
processing method
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CN102420997A (en
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孙维廷
黄铃琇
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Himax Media Solutions Inc
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Himax Media Solutions Inc
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Abstract

The invention discloses an image processing method for improving a retinal rivalry phenomenon of a stereoscopic image. The image processing method comprises the following steps of: receiving a first image and a second image corresponding to the first image, wherein in the first image and the second image, each pixel contains a plurality of color brightness corresponding to different colors respectively; selecting the color brightness corresponding to the one color from the first image, and determining a plurality of proportions of the color brightness corresponding to the different colors in the first image according to the selected color brightness; multiplying the proportions by the color brightness corresponding to the different colors in the first image to obtain a first modulation image, and multiplying the color brightness in the second image by a plurality of preset proportions to obtain a second modulation image; and combining the first modulation image with the second modulation image to generate the stereoscopic image.

Description

Image processing method
Technical field
The present invention relates to a kind of image processing method, and be particularly related to a kind of image processing method of stereo-picture.
Background technology
Stereo-picture is generally comprised of two groups of images.When watching image with specific device, stereo-picture can produce the vision of the degree of depth.A kind of video picture mode that complementary colours video picture mode is stereo-picture, in the middle of this mode, different main colors can be used for presenting the first image and the second image.Typically, the spectrum of the first image and the second image can be not overlapped, therefore need to view and admire the first image and the second image with the filter of two kinds of complementary hues.For instance, when the first filter F1 is used to view and admire the first image, the second filter F2 is used to view and admire the second image.The first filter F1 mainly transmits the main color of the first image and stops the main color of the second image, and the second filter F2 mainly transmits the main color of the second image and stops the main color of the first image.
Complementary colours video picture mode often adopts three kinds of colors to present image, and wherein the first image adopts two kinds of main colors conventionally, and the second image adopts another kind of main color.In the middle of the video picture mode of red/blue complementary colours (Red/Cyan), first image mainly presents green and blue, and the second image mainly presents redness.The complementary colours of other types may comprise indigo plant/Huang, green/fuchsin complementary colours.These complementary colours are called as three look complementary colours.
Due to cost lower with compatibility preferably, conventionally by three look complementary colours, show stereo-picture.Yet three traditional look complementary colours have some well-known shortcomings.First, if view and admire image with color filter, the colour gamut of three traditional look complementary colours generally can be reduced; Secondly, traditional complementary colours method can produce the phenomenon of retina competition (Retinal rivalry), for example, when the red composition of image object is more, by red blue glasses, can feel that object, in flicker, causes user to do not feel like oneself.
Therefore need a kind of new image processing method, can reduce the phenomenon of retina competition, allow the user can be comfortable and cosily view and admire stereo-picture.
Summary of the invention
Therefore, an aspect of of the present present invention is to provide a kind of image processing method, can adjust the composition of a certain color of image retaining under the prerequisite of image original color, reduces the phenomenon of retina competition.
According to one embodiment of the invention, image processing method improves the competing anti-phenomenon of retina that a stereo-picture causes, this image processing method receives one second image of one first image and corresponding the first image, wherein, in the first image and the second image, each pixel contains a plurality of chroma-luminancees that correspond respectively to different color.Afterwards, in the first image, choose the chroma-luminance corresponding to a kind of color, and according to selected chroma-luminance, determine in the first image a plurality of ratios corresponding to the chroma-luminance of different color, again these ratios are multiplied by the first image to the chroma-luminance corresponding to different color, to draw one first modulation image, then chroma-luminance in the second image is multiplied by a plurality of preset ratio, to draw one second modulation image, and combine the first modulation image and the second modulation image, produce stereo-picture.
The image processing method of above-described embodiment, ratio according to number or a certain color and other colour components of a certain colour content in image, adjust the ratio of the central specific color of image, use the phenomenon that reduces retina competition, still retain most colour component in original image simultaneously.
Accompanying drawing explanation
For above and other object of the present invention, feature, advantage and embodiment can be become apparent, the description of the drawings is as follows:
Fig. 1 is the flow chart that illustrates an embodiment of the present invention image processing method.
Fig. 2 is the yield value that illustrates the red brightness of one embodiment of the invention.
Fig. 3 is the yield value that illustrates the red brightness of another embodiment of the present invention.
[main element symbol description]
101～111: step
Embodiment
In the middle of the image processing method of following examples, a certain colour component in the middle of rejection image (for example red) completely not, but certain the specific color composition in image is done to a little reservation, avoid excessively changing the color of original image; Can adjust image quality according to number or its proportion of specific color composition, use and eliminate the competing anti-phenomenon of retina (Retinal rivalry) simultaneously.
Please refer to Fig. 1, it is the flow chart that illustrates an embodiment of the present invention image processing method.Image processing method improves the competing anti-phenomenon of retina of a stereo-picture, first this image processing method receives the second image (step 101) of the first image and corresponding this first image, wherein in the middle of the first image and the second image, each pixel contains the several chroma-luminancees corresponding to different color, for example red, green and blue brightness, and the first image and the second image have a parallax relation (Parallax) between the two.By exist parallax between the first image and the second image, after the first image and the second image are received by user's left eye and right eye respectively, human brain can synthesize the first image and the second image that right eye and left eye receive, and produces stereo-picture.
Then in the middle of the first image, choose the chroma-luminance (step 103) corresponding to a kind of color, for example red brightness, and according to selected chroma-luminance, determines in the first image the several ratios (step 105) corresponding to the chroma-luminance of different color.After step 105, aforementioned ratio is multiplied by the first image corresponding to the chroma-luminance of different color, draw the first modulation image (step 107); And chroma-luminance in the second image is multiplied by several preset ratio, draw the second modulation image (step 109), this preset ratio can be fixing constant, for example (0,0,0), (0,1,0), and (0,0,1), finally combine the first modulation image and the second modulation image, produce stereo-picture (step 111).
In more detail, the pass of the chroma-luminance in the chroma-luminance of the first image, the second image and stereo-picture (for example red/blue images) is:
I o = R R R G R B 0 0 0 0 0 0 R L G L B L + 0 0 0 0 1 0 0 0 1 R R G R B R ,
Wherein, " I o" stereo-picture of representative output, the matrix before "+" number is relevant to the first modulation image, and "+" matrix number is afterwards relevant to the second modulation image.R l, G l, B lrepresent respectively the red brightness in the first image, green brightness and blue brightness, R r, R g, R bbe respectively corresponding redness, green and blue brightness R in the first image l, G l, B lred ratio, green ratio, with blue ratio, in order to produce the red brightness of the first modulation image, and the green of the first modulation image is (0,0,0) with blue brightness corresponding ratio in this example, therefore green and blue brightness are 0; R r, G r, B rrepresent respectively the red brightness in the second image, green brightness, and blue brightness, (0,0,0), (0,1,0), (0,0,1) correspond to the preset ratio of the second image, in order to produce green and the blue brightness of the second modulation image, and the red brightness of the second modulation image corresponding ratio in this example is (0,0,0), therefore red brightness is 0.In this example, the red brightness of stereo-picture is the red brightness of the first modulation image, and green and blue brightness is the green and blue brightness of the second modulation image, and the first image can be left-eye image, and the second image can be eye image.
Please refer to Fig. 2, it is the yield value that illustrates the red brightness of one embodiment of the invention, and wherein the numerical values recited of red brightness is 0 to 255.In the middle of this embodiment, according to red brightness R in the first image lsize decide redness, green and blue ratio R r, R g, R b, to produce the red brightness of the first modulation image.In more detail, hot colour brightness R lfor example, while being less than or equal to the first critical value Th1 (30), red ratio R requal a luminance gain higher limit G1 (for example 0.9), hot colour brightness R lfor example, while being more than or equal to the second critical value Th2 (225), red ratio R requal luminance gain lower limit G2 (for example 0.3).
Hot colour brightness R lin the time of between the first critical value Th1 and the second critical value Th2, according to the first critical value Th1, the second critical value Th2, luminance gain higher limit G1 and luminance gain lower limit G2, carry out linear interpolation calculating (the namely straight line of slope non-zero in the middle of Fig. 2), to obtain red ratio R r, wherein linear interpolation account form is:
Try to achieve red ratio R rtry to achieve other color ratios afterwards, then according to following equation:
R R + R G + R B = 1 R G = ( 1 - R R ) × W t , 0≤W t≤ 1, W wherein trepresent a predefined weight.
Please refer to Fig. 3, it is the yield value that illustrates the red brightness of another embodiment of the present invention, and wherein the numerical values recited of red brightness is 0 to 255.In the middle of this embodiment, according to the red brightness R of the first image l, green brightness G l, with blue brightness B lrelation decide redness, green and blue ratio R r, R g, R b.Even if the brightness of various colors is different, however luminance difference D between different color iffstill may be identical.For instance, if red brightness R lbe respectively 200 and 60, in the middle of green brightness and blue brightness, the greater is respectively 150 and 10, the luminance difference D of redness and another color iffbe 50 (200-150; 60-10), cause picking out different chroma-luminancees.In this case, need to be according to red brightness R lnumerical value adjust the first critical value Th1, the second critical value Th2, be also about to this two critical value and be multiplied by a parameter preset Sat (for example 0.9), in the hope of the first parameter alpha and the second parameter beta, then try to achieve red ratio R according to this two parameter alpha, β r.
Furthermore, as luminance difference D iffbe less than or equal to the first parameter alpha, red ratio R requal luminance gain higher limit G1, as luminance difference D iffwhile being more than or equal to the second parameter beta, red ratio R requal luminance gain lower limit G2, when luminance difference is during between the first parameter alpha and the second parameter beta, according to the first parameter alpha, the second parameter beta, luminance gain higher limit G1 and luminance gain lower limit G2, carry out a linear interpolation calculating (being the straight line of slope non-zero in Fig. 3), to obtain red ratio R r, and luminance difference D iffcan be: green brightness G lor blue brightness B lthe greater in both, with red brightness R lgap.Linear interpolation account form equals:
The image processing method of above embodiment, can not get rid of the central specific color composition of original image (for example red) completely, but the specific color composition in image is done to a little reservation, avoids excessively changing the color of original image; According to number or its proportion of specific color composition, adjust image, use and eliminate the competing anti-phenomenon of retina simultaneously.
Although the present invention with execution mode openly as above; so it is not in order to limit the present invention, any those skilled in the art, without departing from the spirit and scope of the present invention; when being used for a variety of modifications and variations, so protection scope of the present invention is when being as the criterion depending on the appended claims person of defining.

Claims (10)

1. an image processing method, to improve the competing anti-phenomenon of retina of a stereo-picture, this image processing method comprises:
Receive one first image and to one second image that should the first image, wherein, in this first image and this second image, each pixel packets is containing a plurality of chroma-luminancees corresponding to different color;
In the first image, choose the chroma-luminance corresponding to a kind of color;
According to selected chroma-luminance, determine in this first image a plurality of ratios corresponding to these chroma-luminancees of different color;
These ratios are multiplied by this first image to these chroma-luminancees corresponding to different color, to draw one first modulation image;
These chroma-luminancees in this second image are multiplied by a plurality of preset ratio, to draw one second modulation image; And
Combine this first modulation image and this second modulation image, to produce this stereo-picture.
2. image processing method as claimed in claim 1, wherein these chroma-luminancees in these ratios, this first image, these chroma-luminancees in this second image and the pass of this stereo-picture are:
Wherein, I 0represent this stereo-picture, R l1, G l1, B l1represent respectively a red brightness, a green brightness and a blue brightness in this first image, R l2, G l2, B l2represent respectively a red brightness, a green brightness in this second image, and a blue brightness, these ratios R r, R g, R bbe respectively corresponding to this redness brightness in this first image, this green brightness and this blueness brightness R l1, G l1, B l1a red ratio, a green ratio and a blue ratio.
3. image processing method as claimed in claim 2, wherein according to this redness brightness R in this first image l1size decide this redness ratio R r, this green ratio R gwith this blueness ratio R b.
4. image processing method as claimed in claim 3, wherein works as this redness brightness R l1while being less than or equal to one first critical value Th1, this redness ratio R requal a luminance gain higher limit G1, as this redness brightness R l1while being more than or equal to the second critical value Th2, this redness ratio R requal luminance gain lower limit G2, as this redness brightness R l1in the time of between this first critical value Th1 and this second critical value Th2, according to this first critical value Th1, this second critical value Th2, this luminance gain higher limit G1 and this luminance gain lower limit G2, carry out a linear interpolation calculating, to obtain this redness ratio R r.
5. image processing method as claimed in claim 4, wherein this linear interpolation account form is:
6. image processing method as claimed in claim 2, wherein these color ratios need to meet following equation:
Wherein, W trepresent a predefined weight.
7. image processing method as claimed in claim 2, wherein according to this redness brightness R l1, this green brightness G l1, with this blueness brightness B l1luminance difference relation decide this redness, green and blue ratio R r, R g, R b.
8. image processing method as claimed in claim 7, wherein works as this luminance difference D iffbe less than or equal to one first parameter alpha, this redness ratio R requal luminance gain higher limit G1, as this luminance difference D iffwhile being more than or equal to second parameter beta, this redness ratio R requal luminance gain lower limit G2, when this luminance difference is during between this first parameter alpha and this second parameter beta, according to this first parameter alpha, this second parameter beta, this luminance gain higher limit G1 and this luminance gain lower limit G2, carry out a linear interpolation calculating, to obtain this redness ratio R r, and this luminance difference D ifffor:
This redness brightness R l1, with
This green brightness G l1or this blueness brightness B l1the gap of the greater in both.
9. image processing method as claimed in claim 8, wherein this linear interpolation account form equals:
10. image processing method as claimed in claim 1, wherein this first image and this second image have a parallax relation.
CN201010298196.9A 2010-09-28 2010-09-28 Image processing method Expired - Fee Related CN102420997B (en)

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