CN101924949B - Image processing method and image processing system - Google Patents

Image processing method and image processing system Download PDF

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CN101924949B
CN101924949B CN2009101459998A CN200910145999A CN101924949B CN 101924949 B CN101924949 B CN 101924949B CN 2009101459998 A CN2009101459998 A CN 2009101459998A CN 200910145999 A CN200910145999 A CN 200910145999A CN 101924949 B CN101924949 B CN 101924949B
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chroma
brightness
value
comparison table
adjustment
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CN101924949A (en
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蔡奇谥
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Asustek Computer Inc
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Abstract

The invention discloses an image processing method and an image processing system which are suitable for processing image information which comprises multiple processing pixels.The image processing method comprises the following steps: a) setting a group of parameters; b) establishing a brightness comparison table; c) establishing a chroma brightness comparison table; d) reading the image information; e) judging the image format of the image information; f) using the chroma brightness comparison table to generate adjusted chroma value and first adjusted brightness value which correspond to one of the multiple processing pixels if the image format is the first format; and g) using the chroma brightness comparison table and the brightness comparison table to generate adjusted chroma value, the first adjusted brightness value and a second adjusted brightness value which correspond to one of the multiple processing pixels if the image format is the second format.

Description

Image treatment method and image processing system
Technical field
The present invention is about a kind of image treatment method and image processing system, and the image treatment method and the image processing system of particularly tabling look-up and accomplishing about a kind of utilization.
Background technology
Continuous progress along with various digitized video Display Techniques; Various high image quality, high stability, multi-functional electronic display unit are popularized in the middle of general masses' the daily life application one after another; Various digital and electronic display unit such as LCD screen, plasma scope, projector for example become the main show media of various daily information of the common people or interpersonal communication already.
The main key that influences the image display quality comprises the brightness contrast (contraction) and the color saturation (saturation) of image itself.Generally speaking, the contrast of image is meant bright areas and dark area brightness ratio between the two in the image, and the impression meeting that suitable contrast strengthens on human vision is comparatively comfortable.Color saturation is then determined by the chroma (chrominance) of various colors.
Traditional image contrast and Advanced Color Enhancement technology, some is in the color space of red green blue tricolor (RGB), to carry out.Yet the image that now industry adopts or the image format of video streaming scarcely are to adopt the trichromatic color space of RGB, but adopt the color space of brightness and color separated (Y/C) to come store information or transmit, i.e. the YCbCr image format.That is to say that traditional way possibly convert the image or the video streaming of YCbCr form into rgb format earlier, can be under rgb format to image or video streaming compares or image processing such as color enhancing.Even after image processing, also need reverse switch process (RGB to YCbCr), return handle information translation later to the form that system adopts.Thus, extra color space conversion will cause the computational burden of system, also can't reach the real-time operation to video streaming.
On the other hand, be directed against in the image contrast and Advanced Color Enhancement technology of YCbCr form, at present because the YCbCr form has luminance component (Y) and two chroma components (Cb, Cr).Image processor can corresponding image contrast demand set up brightness comparison table in order to adjustment luminance component (Y), and the demand that corresponding color strengthens is set up the one or two cover chroma tables of comparisons in order to adjust two chroma components (Cb, Cr).Yet in each image processing flow process; Each component of image information (Y, Cb, Cr); All to utilize the brightness comparison table or the chroma table of comparisons to calculate adjustment in regular turn respectively; The calculation process that just three components will three times, heavy computation requirement will cause excessive burden to system processor concerning the electronic system that does not have the separate configurations image processor.
In order to address the above problem, the present invention proposes a kind of image treatment method and image processing system, to address the above problem.
Summary of the invention
A purpose of the present invention is to provide a kind of image treatment method, is applicable to handle an image information, and this image information comprises a plurality of processed pixels.
According to a specific embodiment, image treatment method comprises the following step: a) set one group of parameter; B) set up a brightness comparison table according to this group parameter; C) set up a chroma brightness comparison table according to this group parameter and this brightness comparison table; D) read this image information; E) judge an image format of this image information; F) if this image format be first form (for example: YCbCr 4: 2: 2), utilize this chroma brightness comparison table, produce once adjustment chroma value and one first through the adjustment brightness value should one of them processed pixels of a plurality of processed pixels; And g) if this image format be second form (for example: YCbCr 4: 2: 0); Utilize this chroma brightness comparison table and this brightness comparison table, produce once adjustment chroma value, one first through adjustment brightness value and one second through the adjustment brightness value should one of them processed pixels of a plurality of processed pixels.
Another object of the present invention is to provide a kind of image processing system, it comprises memory module, computing module and processing module.Computing module and processing module electrically connect with memory module respectively.
According to a specific embodiment, storage module stores has an image information, and image information comprises a plurality of processed pixels.Computing module is set up brightness comparison table according to one group of parameter, and computing module is set up the chroma brightness comparison table according to this group parameter and brightness comparison table again, and brightness comparison table and chroma brightness comparison table are stored in the memory module.
Processing module reads image information and judges the image format of image information from memory module; If image format is first form, this processing module utilization is stored in chroma brightness comparison table in this memory module to produce through adjustment chroma value and first through the adjustment brightness value should one of them processed pixels of a plurality of processed pixels.If this image format is second form, this processing module utilization is stored in this chroma brightness comparison table and this brightness comparison table in this memory module to produce through adjustment chroma value, first through adjustment brightness value and second through the adjustment brightness value should one of them processed pixels of a plurality of processed pixels.
That is to say; Image treatment method of the present invention and image processing system are through setting up the brightness chroma table of comparisons; Just can adjust a brightness value and a chroma value with a calculation process, simplify the computing flow process and the processing time of image processing by this.Can further be understood through following detailed Description Of The Invention and accompanying drawing about advantage of the present invention and spirit.
Description of drawings
Shown in Figure 1 is flow chart according to image treatment method in the specific embodiment of the present invention.
Shown in Figure 2 for can be in order to the functional block diagram of the image processing system of carrying out image treatment method of the present invention.
Embodiment
See also Fig. 1 and Fig. 2, shown in Figure 1 is flow chart according to image treatment method in the specific embodiment of the present invention.Shown in Figure 2 for can be in order to the functional block diagram of the image processing system 1 of carrying out image treatment method of the present invention.Image treatment method of the present invention and image processing system are applicable to handles an image information (for example image, multimedia film or video streaming), and its image information has an image format.As shown in Figure 2, image processing system 1 comprises memory module 10, computing module 12, processing module 14 and input module 16 in this embodiment.Computing module 12 and processing module 14 electrically connect with memory module 10 respectively.Input module 16 electrically connects with computing module 12.Wherein memory module 10 stores image information, and image information comprises a plurality of processed pixels.
In this embodiment, image treatment method of the present invention and image processing system 1 can correspondingly be handled different image formats.In practical application, common image format can be categorized as YCbCr 4: 4: 4 (representing it to adopt YCbCr color space form and YCbCr sampling ratio is sampling fully in 4: 4: 4), YCbCr 4: 2: 2 (representing it to adopt YCbCr color space form and YCbCr sampling ratio is part sampling in 4: 2: 2) or YCbCr4 at present: various classification such as (YCbCr color space form and YCbCr sampling ratio are 4: 2: 0 or part sampling in 4: 1: 1) in 2: 0.
4: 2: 2 image formats of YCbCr commonly used include forms such as YUY2, UYVY, YUV2 on the industry for instance, and 4: 2: 0 image formats of YCbCr commonly used include the forms such as I420 that YV12, NV12 and DVD CD adopt.
In image information, minimum unit image is that (picture element, pixel), and at YCbCr4 at first: when 4: 4 (sampling fully), each pixel all has complete three component information (Y, Cb, Cr) to pixel.And in response to present compression or image processing demand, under 4: 2: 0 frameworks of YCbCr 4: 2: 2 or YCbCr, the pixel of a plurality of vicinities can be defined as a grand pixel (macro-pixel).The definition of grand pixel is looked different form and is decided, and for instance, can be about 2 or pixel or 2 * 2 adjacent pixels blocks that front and back are contiguous.
Generally speaking; In YCbCr 4: 2: 2; In a grand pixel, can form by the Y component (Y1) of first pixel, the Cb component (Cb1) of first pixel, the Y component (Y2) of second pixel and the Cr component (Cr2) of second pixel; Be in each grand pixel of 4: 2: 2 of YCbCr, brightness value and chroma value are 1: 1 ratio (two brightness values and two chroma values).In practical application, for the convenience in the computing, in 4: 2: 2 forms of YCbCr, a grand pixel [Y1, Cb1, Y2, Cr2] is divided into two processed pixels usually again, is respectively processed pixels [Y1, Cb1] and another processed pixels [Y2, Cr2].In this embodiment, processing module is carried out the image adjustment with a processed pixels as base unit and is handled.
On the other hand; In YCbCr 4: 2: 0; In a grand pixel, can form (so 4: 2: 0 its sampling ratios of this kind form of YCbCr also can be described as 4: 1: 1) by the Y component (Y1, Y2, Y3, Y4) of four different pixels and a Cb component (Cb), one-component (Cr); Be in each grand pixel of 4: 2: 0 of YCbCr, brightness value and chroma value are 2: 1 ratio (four brightness values and two chroma values).In practical application, for the convenience in the computing, in 4: 2: 0 forms of YCbCr, grand pixel [Y1, a Y2; Y3, Y4, Cb, Cr] be divided into two processed pixels usually again, in this embodiment, can be respectively processed pixels [Y1; Y2, Cb] and another processed pixels [Y3, Y4, Cr].
Like Fig. 1 and shown in Figure 2, the present invention is execution in step S100 at first, sets one group of parameter; In this embodiment; The setting of this parameter can be produced by computing module 12 voluntarily, or by the user through input module 16 input and be sent to this computing module 12, but not as limit.In this embodiment, this group parameter can be (St, Sa), St ∈ [0,1] wherein, Sa >=0.The setting that wherein should organize parameter can be decided according to the demand of practical application, and can adjust according to the result of final image processing is good and bad.
Subsequently, execution in step S102, computing module 12 produces a brightness comparison table according to this group parameter setting, computing module 12 and can brightness comparison table being stored among the memory module 10 in this embodiment.In this embodiment, its brightness value of image information of the present invention can the 8bits mode stores that to be divided into be 256 grades (its brightness value can be distributed between 0～255).In this embodiment, this brightness comparison table can produce according to formula:
Yout ( x ) = Bound [ f Y ( St , f ( x ) ) x - b Y ( St , f ( x ) ) ] Min Max , Wherein x is the integer between 0～255, f Y(St, f (x))=St * f (x)+(1-St), b Y(St, f (x))=16 * St * (f (x)-1), f (x) is a nonlinear function, in order to produce an amount of gain with respect to input signal, f (x)=[255 (x/255) for example r+ 1]/(x+1), r＞0, the equation f (x) that adjustment is adopted can decide according to the situation of practical application.Wherein the Bound function is defined as B = Bound [ A ] Min Max , When min≤A≤max, B=A; When A≤min, B=min; When max≤A, B=A.0≤min＜max wherein, in this embodiment, the max value can be 255 or 235, and the min value can be 0 or 16.
In this embodiment, the form of brightness comparison table can be shown in following table one:
The input brightness value The output brightness value
0 Yout[0]
1 Yout[1]
?.?.?. ?.?.?.
255 Yout[255]
Table one
Then execution in step S104, computing module 12 can be organized parameter and this brightness comparison table is set up a chroma brightness comparison table according to this, computing module 12 and can brightness comparison table being stored among the memory module 10 in this embodiment.Wherein this chroma brightness comparison table produces according to this group parameter and this brightness comparison table.On the other hand, its brightness value of image information of the present invention also can be respectively stores with the 8bits mode that to be divided into be 256 grades (its chroma value Cb and Cr all are distributed between 0～255).In this embodiment, this brightness comparison table can produce according to formula:
CYout ( x , y ) = Bound [ f C ( St , Sa , f ( x ) ) y - b C ( St , Sa , f ( x ) ) ] Min Max × 256 + Yout ( x ) , Wherein x is the integer between 0～255, and y also is the integer between 0～255, f C(St, Sa, f (x))=Sa * St * f (x)+(1-St), b C(St, Sa, f (x))=128 * St * (Sa * f (x)-1), f (x) is a nonlinear function, in order to produce an amount of gain with respect to input signal.
In this embodiment, the form of the chroma brightness comparison table in the present embodiment can be shown in following table two:
Input chroma brightness value (C, Y) Output chroma, brightness value
0，0 CYout[0，0]
0，1 CYout[0，1]
... ...
255，255 CYout[255，255]
Table two
That is to say,, look for example, can in the flow process of once searching, obtain corresponding one group of brightness value and chroma value simultaneously with a brightness value and a chroma value through chroma brightness comparison table of the present invention.
Then, execution in step S106 utilizes processing module 14 to read image information from memory module 10.Subsequently, execution in step S107 utilizes processing module 14 to judge the image format of image information.
In this embodiment; When the image format of image information is judged as first form; Image treatment method of the present invention promptly gets into step S108, and first form here can be YCbCr 4: 2: 2, and just YCbCr color space and YCbCr sampling ratio are 4: 2: 2.The image information of first form here, whole image information comprise a plurality of pixels altogether, and (for example: 1024*768 pixel), the pixel of two vicinities corresponds to a grand pixel in first form.
For the convenience in the computing, each grand pixel can be formed by two processed pixels, and each processing pixel packets contains a chroma value and one first brightness value.Execution in step S108, processing module 14 is searched the chroma brightness comparison table that is stored in the memory module 10 according to the chroma value and first brightness value of one of them processed pixels of a plurality of processed pixels.Execution in step S110, processing module 14 through the adjustment brightness value, can be accomplished chroma and brightness adjustment to this processed pixels by the warp adjustment chroma value that obtains the corresponding chroma value and first brightness value in the chroma brightness comparison table respectively and first by this.
Then; The present invention is execution in step S112 further, and processing module 14 judges whether all adjusted completion of each processed pixels of image information, if adjustment completion as yet; Can repeating step S108 to step S110 many times, so that processed pixels all in the image information is adjusted.
What need pay special attention to is that the image treatment method in the prior art need be searched brightness comparison table brightness value is adjusted, and searches the chroma table of comparisons chroma value is adjusted.In image treatment method of the present invention, can be through chroma brightness comparison table of the present invention, can in the flow process of once searching, obtain one group of brightness value and chroma value through adjustment, can quicken the flow process of image processing by this.
On the other hand; When the image format of image information is judged as second form; Image treatment method of the present invention promptly gets into step S114, and second form here can be YCbCr 4: 2: 0, and just YCbCr color space and YCbCr sampling ratio are 4: 2: 0 or 4: 1: 1.The image information of second form here, the image information of second form here, whole image information comprises a plurality of pixels altogether, and the pixel of four vicinities corresponds to a grand pixel in second form.
For the convenience in the computing, each grand pixel can be formed by two processed pixels, and each processing pixel packets contains a chroma value, one first brightness value and second brightness value in the image information of second form.Execution in step S114, the chroma value of one of them processed pixels of processing module 14 these a plurality of processed pixels of basis and first brightness value are searched and are stored in chroma brightness comparison table in the memory module 10.Execution in step S116, processing module 14 is by the warp adjustment chroma value that obtains the corresponding chroma value and first brightness value in the chroma brightness comparison table respectively and the first warp adjustment brightness value.Then, execution in step S118, processing module 14 is searched according to second brightness value of this one of them processed pixels and is stored in brightness comparison table in the memory module 10.Execution in step S120, processing module 14 is by the second warp adjustment brightness value that obtains corresponding second brightness value in the brightness comparison table.Can accomplish chroma and brightness adjustment by this to this processed pixels.
Then; The present invention is execution in step S122 further, and processing module 14 judges whether all adjusted completion of each processed pixels of image information, if adjustment completion as yet; Can repeating step S114 to step S120 many times, so that processed pixels all in the image information is adjusted.
What need pay special attention to is in prior art, three components of color space separately to be searched processing.In image treatment method of the present invention; Can be through chroma brightness comparison table of the present invention, can in the flow process of once searching, obtain one group of brightness value and chroma value, when the ratio of the brightness value of each processed pixels and chroma value is not 1: 1 through adjustment; And can arrange in pairs or groups and search brightness comparison table; To produce second, can correspond to diversified image format by this, and fully use the flow process of the resource of different look-up tables with the acceleration image processing through the adjustment brightness value.
Then; Image treatment method of the present invention and image processing system 1 be execution in step S124 further; With reset this group parameter (St, Sa), when image processing system 1 judges that adjusted image information does not meet actual demand or user and manually upgrades this parameter through input module 16; (St Sa) can be reset this group parameter.Thus; Image treatment method of the present invention and image processing system 1 be execution in step S102 to S122 again; According to this group parameter that resets; Utilize computing module 12 to rebulid brightness comparison table and chroma brightness comparison table, then processing module 14 can be carried out the adjustment of image information based on brightness comparison table that rebulids and chroma brightness comparison table.
In sum; Image treatment method of the present invention and image processing system are through setting up the brightness chroma table of comparisons; Just can adjust a brightness value and a chroma value with a calculation process, simplify the computing flow process and the processing time of image processing by this.
Through the detailed description of above preferred embodiment, hope can be known description characteristic of the present invention and spirit more, and is not to come category of the present invention is limited with the above-mentioned preferred embodiment that is disclosed.On the contrary, its objective is that hope can contain in the category of claims of being arranged in of various changes and tool equality institute of the present invention desire application.

Claims (19)

1. an image treatment method is applicable to the processing image information, and said image information comprises a plurality of processed pixels, it is characterized in that said image treatment method comprises the following step:
A) set one group of parameter;
B) set up brightness comparison table according to said this group parameter;
C) set up the chroma brightness comparison table according to said this group parameter and said brightness comparison table;
D) read said image information;
E) image format of the said image information of judgement;
F) if said image format is first form, utilize said chroma brightness comparison table, the chroma value and first brightness value of corresponding said a plurality of one of them processed pixels of processed pixels produce through adjustment chroma value and first through the adjustment brightness value; And
G) if said image format is second form; Utilize said chroma brightness comparison table; The chroma value and first brightness value of corresponding said a plurality of one of them processed pixels of processed pixels produce through the adjustment chroma value and the first warp adjustment brightness value, and utilize said brightness comparison table; Second brightness value of corresponding said a plurality of one of them processed pixels of processed pixels produces second through the adjustment brightness value.
2. image treatment method according to claim 1 is characterized in that each processed pixels that wherein meets said first form comprises the chroma value and first brightness value respectively, and wherein said step (f) is accomplished through the following step, and it comprises:
F1) search said chroma brightness comparison table according to the said chroma value and said first brightness value of one of them processed pixels of said correspondence; And
F2) by obtaining the said of corresponding said chroma value and said first brightness value in the said chroma brightness comparison table respectively through adjustment chroma value and the said first warp adjustment brightness value.
3. image treatment method according to claim 2 is characterized in that wherein in meeting said a plurality of processed pixels of said first form, wherein two processed pixels form grand pixel, two adjacent pixels of the corresponding said image information of each grand pixel.
4. image treatment method according to claim 2 is characterized in that wherein said first form is that YCbCr color space form and YCbCr sampling ratio are 4: 2: 2.
5. image treatment method according to claim 1 is characterized in that further comprising the following step:
F3) repeating step (f) produces said through adjustment chroma value and the said first warp adjustment brightness value, up to the adjustment of said a plurality of processed pixels of accomplishing said image information with corresponding each processed pixels of difference.
6. image treatment method according to claim 1 is characterized in that each processed pixels that wherein meets said second form comprises chroma value, first brightness value and second brightness value respectively, and wherein said step (g) is accomplished through the following step, and it comprises:
G1) search said chroma brightness comparison table according to the said chroma value and said first brightness value of one of them processed pixels of said correspondence;
G2) by obtaining the said of corresponding said chroma value and said first brightness value in the said chroma brightness comparison table respectively through adjustment chroma value and the said first warp adjustment brightness value;
G3) search said brightness comparison table according to said second brightness value of one of them processed pixels of said correspondence; And
G4) by the said second warp adjustment brightness value that obtains corresponding said second brightness value in the said brightness comparison table.
7. image treatment method according to claim 6 is characterized in that wherein in meeting said a plurality of processed pixels of said second form, wherein two processed pixels form grand pixel, four adjacent pixels of the corresponding said image information of each grand pixel.
8. image treatment method according to claim 6 is characterized in that wherein said second form is that YCbCr color space form and YCbCr sampling ratio are 4: 2: 0 or 4: 1: 1.
9. image treatment method according to claim 1 is characterized in that further comprising the following step:
G5) repeating step (g) produces said warp adjustment chroma value, the said first warp adjustment brightness value and said second through adjusting brightness value, up to the adjustment of said a plurality of processed pixels of accomplishing said image information with corresponding each processed pixels of difference.
10. image treatment method according to claim 1 is characterized in that further comprising the following step:
H0) reset said this group parameter;
H1) rebulid said brightness comparison table and said chroma brightness comparison table according to said this group parameter that resets; And
H2) utilize the said brightness comparison table and the said chroma brightness comparison table that rebulid to carry out the adjustment of said image information.
11. an image processing system is characterized in that comprising:
Memory module stores image information, and said image information comprises a plurality of processed pixels;
Computing module; Electrically connect with said memory module; Said computing module is set up brightness comparison table according to one group of parameter; Said computing module is set up the chroma brightness comparison table according to said this group parameter and said brightness comparison table, and said brightness comparison table and said chroma brightness comparison table are stored in the said memory module; And
Processing module; Electrically connect with said memory module; Said processing module reads said image information and judges the image format of said image information from said memory module; If said image format is first form; Said processing module utilization is stored in said chroma brightness comparison table in the said memory module with the chroma value and first brightness value of said a plurality of one of them processed pixels of processed pixels of correspondence, produces through adjustment chroma value and first through the adjustment brightness value, if said image format is second form; Said processing module utilization is stored in said chroma brightness comparison table in the said memory module with the chroma value and first brightness value of said a plurality of one of them processed pixels of processed pixels of correspondence; Produce through the adjustment chroma value and the first warp adjustment brightness value, and utilize second brightness value of said brightness comparison table, produce second through the adjustment brightness value with said a plurality of one of them processed pixels of processed pixels of correspondence.
12. image processing system according to claim 11; It is characterized in that each processed pixels that wherein meets said first form comprises the chroma value and first brightness value respectively; Said processing module is searched said chroma brightness comparison table according to the said chroma value and said first brightness value of one of them processed pixels of said correspondence, obtain corresponding said chroma value and said first brightness value in the said chroma brightness comparison table respectively said through adjustment chroma value and said first through the adjustment brightness value.
13. image processing system according to claim 12 is characterized in that wherein said first form is that YCbCr color space form and YCbCr sampling ratio are 4: 2: 2.
14. image processing system according to claim 12; It is said through adjustment chroma value and the said first warp adjustment brightness value to it is characterized in that wherein said processing module utilizes said chroma brightness comparison table to produce with corresponding each processed pixels of difference, accomplishes the adjustment of said a plurality of processed pixels of said image information up to said processing module.
15. image processing system according to claim 11; It is characterized in that each processed pixels that wherein meets said second form comprises chroma value, first brightness value and second brightness value respectively; Said processing module is searched said chroma brightness comparison table according to the said chroma value and said first brightness value of one of them processed pixels of said correspondence; Obtain corresponding said chroma value and said first brightness value in the said chroma brightness comparison table respectively said through adjustment chroma value and said first through the adjustment brightness value; Said processing module is searched said brightness comparison table according to said second brightness value of one of them processed pixels of said correspondence, obtains the said second warp adjustment brightness value of corresponding said second brightness value in the said brightness comparison table.
16. image processing system according to claim 15 is characterized in that wherein said second form is that YCbCr color space form and YCbCr sampling ratio are 4: 2: 0 or 4: 1: 1.
17. image processing system according to claim 15; It is said through adjusting chroma value, the said first warp adjustment brightness value and said second through the adjustment brightness value to it is characterized in that wherein said processing module utilizes said chroma brightness comparison table and said brightness comparison table to produce with corresponding each processed pixels of difference, accomplishes the adjustment of said a plurality of processed pixels of said image information up to said processing module.
18. image processing system according to claim 11 is characterized in that further comprising:
Input module electrically connects with said computing module, and said input module is organized parameter according to user's operation to set said this.
19. image processing system according to claim 11; It is characterized in that when said this group parameter is reset; Said computing module rebulids said brightness comparison table and said chroma brightness comparison table according to said this group parameter that resets and is stored in the said memory module, and said brightness comparison table and said chroma brightness comparison table that said processing module utilization rebulids are carried out the adjustment of said image information.
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