CN101399909B - Adaptive image regulating method and image processing device using the method - Google Patents
Adaptive image regulating method and image processing device using the method Download PDFInfo
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- CN101399909B CN101399909B CN2007101531629A CN200710153162A CN101399909B CN 101399909 B CN101399909 B CN 101399909B CN 2007101531629 A CN2007101531629 A CN 2007101531629A CN 200710153162 A CN200710153162 A CN 200710153162A CN 101399909 B CN101399909 B CN 101399909B
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Abstract
The invention discloses an adaptive image adjusting method and an imaging processing device for using the method. The device includes an accounting device and an image adjusting device. The accounting device receives a plurality of pixels of one image, accounts the grayscale distribution of the pixels and finds out a specific grayscale according to the grayscale distribution; wherein, the grayscale of the pixel with a specific proportion in the pixels is smaller than the specific grayscale. The image adjusting device adjusts the image according to the specific grayscale.
Description
Technical field
The present invention is relevant for a kind of technology of image processing, and particularly relevant for a kind of adaptive topography method of adjustment and use the image processing apparatus of this method.
Background technology
Image processing (image processing) is the digital picture that obtains, make the change of color, shading value, focal length or the like various image frames with the function that image processing software provided, or even two photos are synthesized by the operation sequence of more complicated.For example, can be with some functions of image processing, just can very fast photo become the photo of rainy day a fine day as the variation of brightness and contrast.Even can utilize the process of these image processing such as choosing, clip and paste, the treatment effect two photos are done to graft flowers on a tree so just can change the original complexion of image.Therefore, image processing briefly is exactly the data of change or analysis image.
For improving the image quality of flat-panel screens, need dynamically adjust image, for example with the brightness of image as criterion: can improve contrast to darker image, reduce brightness, and can turn down backlight; Brighter image is then reduced contrast, heighten brightness, and can heighten backlight.
Need judge the image processing of image brightness (brightness) for some, mean picture brightness is a judgement index (judgment index) that often is used.Fig. 1 is the calcspar of the known image processing apparatus of expression.Please refer to Fig. 1, this image processing apparatus 100 comprises average brightness (mean value) detector 101, contrast control (contrast controller) 102 and brightness controller (brightness controller) 103.At first, image is sent to average brightness detector 101 and obtain the average brightness of this image by this average brightness detector 101.Then, as judging index, according to this above-mentioned image is adjusted picture contrast and brightness via contrast control 102 and brightness controller 103 again according to resulting average brightness, and can correspondingly adjust backlight, to heighten image displaying quality.
Yet under many circumstances, mean flow rate is not enough to distinguish the information of the brightness of different images content.For instance, if two images are arranged shown in Fig. 2 A (the bright dark difference of image is less) and Fig. 2 B (image is bright secretly to differ greatly), and the average brightness of these two images all is 55, but the image of Fig. 2 B is imitated the composition that more " bright " arranged in the image of Fig. 2 A mutually.During the benchmark supposing to adjust as image with mean flow rate, the brightness composition that can take for the image of Fig. 2 A and Fig. 2 B is the same, yet if use identical adjustment amount to carry out the image adjustment, will cause the wherein poor effect of an image, it is not too too bright or too dark can making image yet.Therefore, the calculating of depending merely on image brightness mean value not only can't be distinguished the difference of the image of (distinguish) above-mentioned Fig. 2 A and Fig. 2 B, also can make the image adjustment cause minus effect.
Summary of the invention
Purpose of the present invention is exactly can to add up and analyze the intensity profile of image pixel in that a kind of adaptive topography method of adjustment and image processing apparatus are provided, and according to statistics and the result that analyzes, and then image is adjusted to best quality.
The present invention proposes a kind of adaptive topography method of adjustment, and the method comprises the following steps: to provide an image at least, and this image has a plurality of pixels.Add up the intensity profile of above-mentioned pixel.And according to above-mentioned intensity profile, find out a specific gray scale, in the wherein above-mentioned pixel, the gray scale that the pixel of a special ratios is arranged is less than this specific gray scale.Next, according to above-mentioned specific gray scale, and then adjust image.
According to the described method of preferred embodiment of the present invention, the intensity profile of above-mentioned statistical pixel comprises the number of pixels of adding up each gray scale.In another embodiment of the present invention, above-mentioned special ratios about 90%.In an embodiment more of the present invention, above-mentioned adjustment image step comprises the luminance gain of adjusting image and the contrast of adjusting image according to specific gray scale.
According to the described method of preferred embodiment of the present invention, above-mentioned image is shown in the screen with a backlight, adjusts image step and comprises according to the brightness of specific gray scale adjustment backlight and the contrast of adjusting image.In another embodiment of the present invention, above-mentioned adjustment back light source brightness step is an index value with specific gray scale, the decision back light source brightness of tabling look-up.In an embodiment more of the present invention, the contrast step of above-mentioned adjustment image is an index value with specific gray scale, the contrast of the decision image of tabling look-up.
The present invention reintroduces a kind of image processing apparatus, and this device comprises: a statistic device and an image adjusting device.Statistic device is used to receive a plurality of pixels of an image, and adds up an intensity profile of above-mentioned pixel, again according to intensity profile, to find out a specific gray scale.Image adjusting device is in order to according to above-mentioned specific gray scale, and then adjusts image, and the gray scale that the pixel of a special ratios is wherein arranged is less than this specific gray scale.
According to the described device of preferred embodiment of the present invention, above-mentioned image adjusting device comprises a brightness adjusting device and a contrast adjusting device.This brightness adjusting device and contrast adjusting device are according to above-mentioned specific gray scale, give image one luminance gain and a contrast respectively and adjust parameter.In another embodiment of the present invention, above-mentioned image is shown in the screen with a backlight, and image adjusting device comprises a brightness adjusting device.This brightness adjusting device is the brightness of adjusting backlight according to specific gray scale.In an embodiment more of the present invention, above-mentioned brightness adjusting device comprises one gray scale/brightness comparison table.This gray scale/brightness comparison table is an index value with specific gray scale, the decision back light source brightness of tabling look-up.
According to the described device of preferred embodiment of the present invention, above-mentioned contrast adjusting device comprises one gray scale/contrast table of comparisons.This gray scale/contrast table of comparisons is an index value with specific gray scale, the contrast of the decision image of tabling look-up.In an embodiment more of the present invention, above-mentioned statistic device is also in order to add up the number of pixels of each gray scale.In another embodiment of the present invention, above-mentioned special ratios about 90%.
The present invention carries out the intensity profile of statistical picture pixel by statistic device, and, find out a specific gray scale according to the intensity profile of image pixel, again according to the specific gray scale that draws, and then the brightness at least and the contrast level parameter of adjustment image, make image can present best quality.
For above-mentioned and other purposes, feature and advantage of the present invention can be become apparent, preferred embodiment cited below particularly, and conjunction with figs. are described in detail as follows.
Description of drawings
Fig. 1 is the calcspar of the known image processing apparatus of expression.
Fig. 2 A is the schematic diagram (bright dark difference is less) of presentation video.
Fig. 2 B is the schematic diagram (bright secretly differ greatly) of another image of expression.
Fig. 3 is the flow chart of the adaptive topography method of adjustment of the expression embodiment of the invention.
Fig. 4 is the calcspar of the image processing apparatus of the expression embodiment of the invention.
Fig. 5 A is the intensity profile figure of presentation graphs 2A image pixel.
Fig. 5 B is the intensity profile figure of presentation graphs 2B image pixel.
Fig. 6 A is gray scale/brightness comparison table that presentation video is adjusted.
Fig. 6 B is gray scale/contrast table of comparisons that presentation video is adjusted.
The main element symbol description
100,400: image processing apparatus
101: the average brightness detector
102: contrast control
103: brightness controller
S301-S306: the step of the embodiment of the invention
401: statistic device
402: image adjusting device
403: brightness adjusting device
404: the contrast adjusting device
H1, H2: distribution curve
S1, S2: accumulation curve
Embodiment
Fig. 3 is the flow chart of the adaptive topography method of adjustment of the expression embodiment of the invention.Fig. 4 is the calcspar of the image processing apparatus of the expression embodiment of the invention.Please also refer to Fig. 3 and Fig. 4, this image processing apparatus 400 comprises statistic device 401 and image adjusting device 402, and wherein image adjusting device 402 still comprises brightness adjusting device 403 and contrast adjusting device 404.The circuit running of this embodiment underdraws as follows: at first, provide an image, this image has a plurality of pixels (step S301).This image is for example for digital camera, digital picture that Digital Video is exported, digital picture that computer is exported or Shi is Frequency (video) etc.
Then, above-mentioned image is sent in the statistic device 401, and adds up the intensity profile (step S302) of this image pixel.In this step S302, statistic device 401 carries out the pixel-gray analysis of entire image, is example with 256 gray scales, just finds out each gray scale, and what pixels are arranged respectively.For example image pixel is that 0 o'clock number has 100 in gray value; Image pixel is that 1 o'clock number has 20 in gray value; Image pixel is that 2 o'clock number is 10 in gray value; Image pixel in gray value 3,4,5 ..., be 255 o'clock up to analyzing to image pixel in gray value, promptly finish the analysis of this image pixel number.The number of pixels that document image occupies in each gray scale in this statistic processes for representing a distribution curve H1, is called intensity profile figure (histogram), shown in Fig. 5 A.Then, according to adding up of distribution curve H1 calculating pixel number, illustrate an accumulation curve S1.
Next, according to the accumulation curve S1 of above-mentioned intensity profile, find out a specific gray scale, in the wherein above-mentioned pixel, the gray scale of pixel that a special ratios is arranged is less than above-mentioned specific gray scale (step S303).In order to make this embodiment clearer, suppose that at this this special ratios is 90%.Therefore, above-mentioned specific gray scale is exactly to have represented the pixel in the entire image in fact, has the gray scale of 90% pixel all little than this specific gray scale.If with Fig. 2 A, will be less by the specific gray scale that Fig. 2 A is come out, if with Fig. 2 B, the specific gray scale that is come out by Fig. 2 B will than the specific gray scale that Fig. 2 A counted come big.There is the pixel of half darker though reason is Fig. 2 B, has the pixel of half brighter.Just intensity profile is comparatively extreme.Fig. 2 A then is that most pixel all drops in the average value ranges, so pixel distribution is more concentrated.
At last, according to above-mentioned specific gray scale, and then adjust image (step S304).Statistic device 401 is sent to brightness adjusting device 403 and contrast adjusting device 404 in the image adjusting device 402 respectively with this specific gray scale, to carry out the adjustment of the thinner portion of image.This adjusts image and comprises again: 1. in brightness adjusting device 403, according to above-mentioned specific gray scale, give image one luminance gain, also can adjust the brightness (step S305) of backlight in addition according to this.2. in contrast adjusting device 404,, give image one contrast and adjust parameter, adjust the contrast (step S306) of image according to above-mentioned specific gray scale.Except contrast and brightness, image adjusting device 402 still can be adjusted other image parameters, does not give unnecessary details one by one in this.
Above-mentioned luminance gain can determine its size according to one gray scale/brightness comparison table, and gives image one suitable luminance gain value, and then adjusts the image back light source brightness that is shown on the screen, and it is bright or dark excessively that image can be adjusted to.This gray scale/brightness comparison table uses specific gray scale to be index value, for example is Fig. 6 A, and when the value of judging index is bigger, when just image brightness was brighter, required luminance gain was bigger; Less when the value of judging index, when just image brightness was dark, required luminance gain just needed less.
The contrast of above-mentioned image also can determine it to adjust parameter according to one gray scale/contrast table of comparisons, and gives the contrast adjustment parameter that image one is fit to, and then adjusts the contrast of image, makes image can demonstrate best quality.This gray scale/contrast table of comparisons also uses specific gray scale to be index value, for example is shown in Fig. 6 B, and is less when the value of judging index, when just image brightness is dark, the contrast value of image can be heightened; When the value of judging index is bigger, when just image brightness is brighter, the contrast value of image can be turned down.
As pointed in the background technology and since in the known technology with mean value as the practice of judging index and can't accurately judge the bright dark degree of image, cause inappropriate processing result image easily.Can grasp bright dark degree between image more accurately as trying to achieve the way of judging index according to intensity profile figure in the embodiments of the invention, go out the appropriate image processing parameter with correspondence.
With the same image of mean value mentioned in the background technology is example (as Fig. 2 A and Fig. 2 B), and the intensity profile figure through statistic device 401 is analyzed and added up can draw the result as Fig. 5 A and Fig. 5 B.The transverse axis of Fig. 5 A and Fig. 5 B is gradation of image value (0-255), and the longitudinal axis on the left side is the image pixel number, and the longitudinal axis on the right is the image pixel number percentage that adds up.In Fig. 5 A and Fig. 5 B, to select the add up mode of percentage 90% of image pixel number is example (considering the foundation of the composition of intensity profile figure preceding 90% as the successive image processing), the corresponding gradation of image value that goes out be respectively 121 and 225, this 121 and 225 judgement index value (judgment index value) of presentation graphs 2A and Fig. 2 B respectively.
Further, judge that index value is to use to decide the image of Fig. 2 A and Fig. 2 B still can give what contrast value, and can guarantee picture quality (image of many more " bright " composition, contrast value is just more little) within the standard of being formulated.If the image averaging value of utilizing well known device to obtain makes a decision, will cause the image of Fig. 2 B that adjustment is improperly arranged; Use method described in the invention and device if review, by judging the significant difference of index value 121 and 225, image graph 2A is corresponding with Fig. 2 B to go out suitable yield value just can be respectively.Significantly, do good difference with two images that the spiritual embodiment that is implemented out of the present invention can be the same with script mean value, and can make optimal adjustment image.
What deserves to be mentioned is, though image processing apparatus has been depicted a possible type in the foregoing description, but those of ordinary skill should be known in the affiliated technical field, each manufacturer is all different for the design of statistic device 401 and image adjusting device 402, and therefore application of the present invention is when being not restricted to the possible type of this kind.In other words, so long as gray distribution of image can be analyzed and count to statistic device 401, and find out a specific gray scale according to this intensity profile, and then adjusting above-mentioned image, picture quality is promoted, has been to have met spiritual place of the present invention just.
In sum, the present invention is because of adopting statistic device, and the intensity profile by this statistic device statistics and analysis image pixel, again according to the intensity profile of pixel, adjusts the brightness and the contrast of image, makes image can present best quality.Yet, in the time of can not having identical average brightness because of different images again, cause inappropriate processing result image.Therefore, the present invention can analyze the bright dark composition of various images effectively, again according to each gray distribution of image, and then these images is adjusted to best quality.
Though the present invention with preferred embodiment openly as above, so it is not in order to limit the present invention.Those of ordinary skill under any in the technical field under the situation that does not break away from the spirit and scope of the present invention, can carry out various changes and modification.Therefore, protection scope of the present invention is as the criterion with the scope of the claim that proposed.
Claims (12)
1. adaptive topography method of adjustment comprises:
One image is provided, and this image has a plurality of pixels;
Add up an intensity profile of these a plurality of pixels;
According to this intensity profile, find out a specific gray scale, wherein the gray scale of these a plurality of pixels of a special ratios is less than this specific gray scale; And
According to this specific gray scale, adjust this image,
Wherein adjusting this image step comprises according to this specific gray scale and adjusts the luminance gain of this image and the contrast of this image.
2. adaptive topography method of adjustment as claimed in claim 1, this intensity profile of wherein adding up these a plurality of pixels comprises:
Add up the number of pixels of each gray scale.
3. adaptive topography method of adjustment as claimed in claim 1, wherein this special ratios is 90%.
4. adaptive topography method of adjustment as claimed in claim 1, wherein this image is shown in the screen with a backlight, adjusts this image step and also comprises the brightness of adjusting this backlight according to this specific gray scale.
5. adaptive topography method of adjustment as claimed in claim 4, wherein adjusting this back light source brightness step is an index value with this specific gray scale, this back light source brightness of decision of tabling look-up.
6. adaptive topography method of adjustment as claimed in claim 4, the contrast step of wherein adjusting this image is an index value with this specific gray scale, the contrast of this image of decision of tabling look-up.
7. image processing apparatus comprises:
One statistic device receives a plurality of pixels of an image, adds up an intensity profile of these a plurality of pixels, and according to this intensity profile, finds out a specific gray scale; With
One image adjusting device according to this specific gray scale, is adjusted this image, and this image adjusting device comprises:
One brightness adjusting device according to this specific gray scale, is given this image one luminance gain; And
One contrast adjusting device according to this specific gray scale, is given this image one contrast and is adjusted parameter, and wherein the gray scale of these a plurality of pixels of a special ratios is less than this specific gray scale.
8. image processing apparatus as claimed in claim 7, wherein this image is shown in the screen with a backlight, and this brightness adjusting device is adjusted the brightness of this backlight according to this specific gray scale.
9. image processing apparatus as claimed in claim 8, wherein this brightness adjusting device comprises:
One gray scale/brightness comparison table is an index value with this specific gray scale, this back light source brightness of decision of tabling look-up.
10. image processing apparatus as claimed in claim 7, wherein this contrast adjusting device comprises:
One gray scale/contrast the table of comparisons is an index value with this specific gray scale, the contrast of this image of decision of tabling look-up.
11. image processing apparatus as claimed in claim 7, wherein this statistic device is also in order to add up the number of pixels of each gray scale.
12. image processing apparatus as claimed in claim 7, wherein this special ratios is 90%.
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| CN102142235B (en) * | 2011-03-28 | 2013-08-14 | 彩虹集团公司 | Contrast enhancement method of direct type white-light LED (Light Emitting Diode) backlight source liquid crystal display television |
| CN102820008B (en) * | 2011-06-10 | 2015-04-01 | 晨星软件研发(深圳)有限公司 | Display control circuit and method |
| CN102222473A (en) * | 2011-07-27 | 2011-10-19 | 南京Lg新港显示有限公司 | Energy-saving method for display |
| CN106531092B (en) * | 2016-11-08 | 2019-08-06 | 青岛海信电器股份有限公司 | Adjust method, video processor and the display device of brightness of image and contrast |
| JP7047549B2 (en) * | 2018-04-03 | 2022-04-05 | 株式会社アイシン | Image processing equipment |
| US10943548B1 (en) * | 2019-09-03 | 2021-03-09 | Himax Technologies Limited | Scene-based adaptive backlight adjustment method and circuit for local dimming |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN1755760A (en) * | 2004-09-30 | 2006-04-05 | 株式会社东芝 | Video signal processor circuit and television receiver |
| CN1936676A (en) * | 2006-10-12 | 2007-03-28 | 友达光电股份有限公司 | Adoptive back-light adjusting system and method |
| CN101183513A (en) * | 2006-11-13 | 2008-05-21 | 胜华科技股份有限公司 | Backlight processing system and method thereof |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN1755760A (en) * | 2004-09-30 | 2006-04-05 | 株式会社东芝 | Video signal processor circuit and television receiver |
| CN1936676A (en) * | 2006-10-12 | 2007-03-28 | 友达光电股份有限公司 | Adoptive back-light adjusting system and method |
| CN101183513A (en) * | 2006-11-13 | 2008-05-21 | 胜华科技股份有限公司 | Backlight processing system and method thereof |
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