CN101923706B - Image processing device and method - Google Patents
Image processing device and method Download PDFInfo
- Publication number
- CN101923706B CN101923706B CN2009100529419A CN200910052941A CN101923706B CN 101923706 B CN101923706 B CN 101923706B CN 2009100529419 A CN2009100529419 A CN 2009100529419A CN 200910052941 A CN200910052941 A CN 200910052941A CN 101923706 B CN101923706 B CN 101923706B
- Authority
- CN
- China
- Prior art keywords
- pixel
- image
- present
- adjusted value
- weight coefficient
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Images
Landscapes
- Image Processing (AREA)
Abstract
The invention provides an image processing device and method. The method comprises the following steps: computing the adjusted value according to the pixel of the current image and a plurality of neighboring reference pixels; computing the weight coefficient according to the gray-scale value difference between the pixel of the current image and the pixel of the previous image; computing the weighted adjusted value according to the adjusted value and the weight coefficient; and adjusting the pixel of the current image according to the weighted adjusted value and further producing the pixel of the output image. The invention can adaptively adjust the current image and elevate the quality of the output image.
Description
Technical field
The invention relates to a kind of image processing technique, and particularly relevant for a kind of image processing technique of dynamic adaptable property adjustment image.
Background technology
Along with Development of Multimedia Technology, people improve for the requirement of high image quality image day by day.Yet; LCD is under the Fast Dynamic picture; Because liquid crystal (Liquid Crystal, reaction velocity LC) is fast inadequately (be generally 1ms～16ms), and the back light source system aspect to have adopted the type of drive of stable state (Holding Type) again; The relation that so just can persist because of human eye vision and produce the problem of picture ghost, and this just so-called dynamic fuzzy (Motion Blur) phenomenon.
In view of this, known technology regular meeting uses the sharpening treatment technology to improve the problem of fuzzy pictures.Known sharpening treatment technology is overall image to be carried out sharpening handle, and therefore can make the imagery zone that need not carry out the sharpening processing also be compelled to carry out sharpening in the lump and handle.
Image with the vehicle in moving is an example, utilizes known sharpening treatment technology that overall image is carried out sharpening and handles, though the fuzzy problem of vehicle can be improved, it is serious that the noise of overall image also can more become.What deserves to be mentioned is, if the background of vehicle original just be picture clearly, the sharpening processing can make the excessive sharpening of the background of vehicle, causes picture quite inharmonious, and produces the intolerable noise of human eye.
Summary of the invention
The present invention provides a kind of image treatment method, can promote the quality of image output.
The present invention provides a kind of image processor, dynamic adaptable property ground adjustment image, and then the quality of raising image output.
The present invention proposes a kind of image treatment method, and it comprises according to first pixel of image and near a plurality of first reference pixels thereof calculate first adjusted value at present.In addition, different according to first pixel of present image with the GTG value difference of first pixel of previous image, calculate first weight coefficient.In addition, calculate the first weighting adjusted value according to first adjusted value and first weight coefficient.Moreover, adjust first pixel of present image according to the first weighting adjusted value, and then produce first pixel of image output.
In one embodiment of this invention, image treatment method more comprises according to second pixel of image and near a plurality of second reference pixels thereof calculate second adjusted value at present.In addition, different according to second pixel of present image with the GTG value difference of second pixel of previous image, calculate one second weight coefficient.In addition, calculate the second weighting adjusted value according to second adjusted value and second weight coefficient.Moreover, adjust second pixel of present image according to the second weighting adjusted value, and then produce second pixel of image output.
In one embodiment of this invention, first pixel of image and near first reference pixel thereof are formed the pel array of M * N at present, and wherein M and N are the positive integer more than or equal to 2.In another embodiment, first pixel of present image can be positioned at the lower right corner of above-mentioned pel array.In another embodiment, first adjusted value is that the GTG value of first pixel of present image deducts first pixel of present image and near the average GTG value of first reference pixel thereof.
In one embodiment of this invention, the step of calculating first weight coefficient comprises first pixel of present image and the GTG value difference of first pixel of previous image different divided by reference value and then obtain first weight coefficient.In another embodiment, the first weighting adjusted value equals first adjusted value and multiply by first weight coefficient.In another embodiment, the GTG value of first pixel of the image output GTG value that equals first pixel of present image adds the first weighting adjusted value.
From another viewpoint, the present invention provides a kind of image processor, and it comprises storage element and computing unit.Storage element can store previous image.Computing unit couples storage element, can be according to the pixel of present image and near a plurality of reference pixel calculate adjusting values thereof, and different according to the pixel of image at present with the GTG value difference of the pixel of previous image, calculate weight coefficient.In addition; Computing unit also can calculate the weighting adjusted value according to adjusted value and weight coefficient; And adjust the pixel of present image according to the weighting adjusted value, and then produce the pixel of image output, wherein the pixel of image, the pixel of previous image and the pixel of image output correspond to each other at present.
The present invention is because of the pixel of the present image of foundation and near a plurality of reference pixel calculate adjusting values thereof.In addition, different according to the pixel of present image with the GTG value difference of the pixel of previous image, calculate weight coefficient.In addition, adjust present image according to adjusted value and weight coefficient again.Thus, just present image is adjusted on adaptability ground, to promote the quality of image output.
Description of drawings
Fig. 1 is the calcspar according to a kind of image processor of the first embodiment of the present invention;
Fig. 2 is the process flow diagram according to a kind of image treatment method of the first embodiment of the present invention;
Fig. 3 is the synoptic diagram according to a kind of image of the first embodiment of the present invention;
Fig. 4 is the image block synoptic diagram of Fig. 3;
Fig. 5 is the image block synoptic diagram of another embodiment;
Fig. 6 is the image block synoptic diagram of another embodiment.
For letting the above-mentioned feature and advantage of the present invention can be more obviously understandable, hereinafter is special lifts several embodiment, and cooperates appended graphicly, elaborates as follows.
Embodiment
The sharpening treatment technology of known technology is overall image to be carried out sharpening handle, and the image block that need not carry out the sharpening processing also can be compelled to carry out sharpening to be handled, and therefore is easy to generate the intolerable noise of human eye.
In view of this, embodiments of the invention provide a kind of image processing technique.Each block that can judge present image is dynamic image or static image.Then, partly strengthen sharpen effect, and then improve the problem of dynamic fuzzy to the dynamic image in the image.In addition,, then reduce sharpen effect (can not carry out sharpening even handles), therefore can avoid generating noise to static part in the image.Present image is adjusted on dynamic adaptable property ground thus, and promotes the quality of image output according to this.Set forth embodiments of the invention in detail below with reference to accompanying drawing, the for example clear example embodiment of the present invention of accompanying drawing, the wherein same or similar step of same numeral indication.
Fig. 1 is the calcspar according to a kind of image processor of the first embodiment of the present invention.Please with reference to Fig. 1, in the present embodiment, image processor 10 can comprise storage element 20 and computing unit 30.Storage element 20 couples computing unit 30.But storage element 20 and computing unit 30 receiving video data.It should be noted that storage element 20, for example can be frame buffer reservoir (Frame Buffer), can be used to store image, and provides previous image to computing unit 30.Computing unit 30 can receive present image, and according to the previous image that storage element 20 is provided present image is adjusted, and then produces image output.
In the present embodiment, computing unit 30 for example can comprise average calculation unit, adding circuit, subtraction circuit, mlultiplying circuit and division circuit, but the present invention is not as limit.In other embodiments, have the knack of the embodiment that art technology person also can change computing unit 30 according to its demand.For instance, computing unit 30 also can comprise lookup table circuit, so can reduce operand effectively.
From another angle, storage element 20 can receive and store the N frame at N image duration again, and provides the N frame to computing unit 30 image duration at N+1, and wherein N is a natural number.In N+1 image duration, computing unit 30 can receive the N+1 frame, and the N framing control N+1 frame that is provided according to storage element 20, and then produces image output.By that analogy, storage element 20 can receive and store the N+1 frame at N+1 image duration, and provides the N+1 frame to computing unit 30 image duration at N+2.In N+2 image duration, computing unit 30 can receive the N+2 frame, and the N+1 framing control N+2 frame that is provided according to storage element 20, and then produces image output.Below cooperate process flow diagram to do further explanation.
Fig. 2 is the process flow diagram according to a kind of image treatment method of the first embodiment of the present invention.Fig. 3 is the synoptic diagram according to a kind of image of the first embodiment of the present invention.Fig. 4 is the image block synoptic diagram of Fig. 3.The resolution of supposing image in the present embodiment is 1280 * 1024 (like Fig. 3), but the present invention is as limit, and image also can be other resolution in other embodiments, for example 1024 * 768... etc.In addition, suppose that storage element 20 has stored previous image.When receiving present image with next detailed description computing unit 30, the previous image that how is provided according to storage element 20 is adjusted present image, and then produces image output.
In the present embodiment, the pixel (1,1) of image, (1,2), (1,3), (2,1), (2,2), (2,3), (3,1), (3,2) for example are 150,160,170,180,190,170,170,160 and 180 with the GTG value of (3,3) at present.The GTG value of the pixel (3,3) of previous image for example is 148 (as shown in Figure 4).
Following elder generation is that example describes with the GTG value of the pixel (3,3) of acquisition image output.
By step S201, computing unit 30 can calculate an adjusted value according to a pixel of present image and near a plurality of reference pixels thereof earlier.Embodiment that what deserves to be mentioned is step S201 has quite multiple, provides a kind of selection embodiment to supply to have the knack of art technology person to consider and examine with next, and the present invention is not as limit.In other embodiments, have the knack of the embodiment that art technology person also can change step S201 according to its demand.
In the step S201 of present embodiment, for example describes, near a plurality of reference pixels it then describe for example with (3,2) with pixel (1,1), (1,2), (1,3), (2,1), (2,2), (2,3), (3,1) pixel of image with pixel (3,3) at present.The account form of adjusted value can be the average GTG value that the GTG value of pixel (3,3) deducts pixel (1,1), (1,2), (1,3), (2,1), (2,2), (2,3), (3,1), (3,2) and (3,3).Because pixel (1,1), (1,2), (1,3), (2; 1), (2,2), (2,3), (3,1), (3; 2) with the average GTG value of (3,3)=(150+160+170+180+190+170+170+160+180)/9=170, therefore in the present embodiment, adjusted value=180-170=10.
What deserves to be mentioned is that the usefulness of step S201 is intended to according to the pixel (3,3) of present image and near the contrast degree calculate adjusting values of pixel thereof, so that subsequent step carries out image processing.That is to say that the resulting adjusted value of step S201 is bigger, represent pixel (3,3) and near the pixel thereof of present image more to level off to the high-contrast image; Otherwise the resulting adjusted value of step S201 is littler, represents pixel (3,3) and near the pixel thereof of present image more to level off to the low contrast image.Generally speaking, when carrying out image processing, can strengthen high-contrast image's sharpen effect, and keep or weaken low contrast image's sharpen effect.Image with portrait is that example describes, and the above-mentioned practice can make the hair of portrait more clear, also can make the skin of portrait soft and graceful more in addition, and avoid producing mottle.
But subsequent steps S202 after step S201 according to the pixel and the different calculating of GTG value difference of the pixel of image before of image at present, calculates weight coefficient.In the present embodiment; The present different account form of GTG value difference of the pixel of image and the pixel of previous image is the pixel (3 that the GTG value of the pixel (3,3) of present image is deducted previous image; 3) GTG value, that is above-mentioned GTG value difference different=180-148=32.Then can be again can obtain weight coefficient divided by reference value with above-mentioned GTG value difference is different.For instance, reference value for example can be 64, so weight coefficient=32/64=0.5.Have the knack of art technology person and should know that reference value is 64 only is a kind of selection embodiment.In other embodiments, have the knack of art technology person and also can change reference value according to its demand.
The resulting weight coefficient of step S202 promptly is that the pixel (3,3) of the present image of representative levels off to the degree of dynamic menu.The pixel (3,3) of the present image of the bigger representative of weight coefficient levels off to dynamic menu; Otherwise the heal pixel (3,3) of the present image of little representative of weight coefficient levels off to tableaux.In general, LCD has the problem of dynamic fuzzy easily when showing dynamic menu.Though the problems referred to above can see through the image sharpening processing and solve, and can produce noise also thereupon.The resulting weight coefficient of step S202 can be convenient to follow-up image processing, and then only carries out sharpening to dynamic menu and handle, and can select not carry out the sharpening processing or reduce sharpen effect for tableaux.
After step S201, S202 obtain adjusted value and weight coefficient, but execution in step S203 calculates the weighting adjusted value according to adjusted value and weight coefficient.In the present embodiment, the weighting adjusted value can be multiplied each other and obtained by adjusted value and weight coefficient each other, that is weighting adjusted value=10 * 0.5=5.
What deserves to be mentioned is that step S203 multiplies each other adjusted value and weight coefficient and then obtain the weighting adjusted value, thus in adjusted value and the weight coefficient if it is 0 that one of which is arranged, the weighting adjusted value then can be 0.That is to say that if the pixel (3,3) of image is uniform smooth picture or tableaux at present, the weighting adjusted value then can be 0, so can effectively avoid lofty noise to produce.
Then but execution in step S204 adjusts the pixel of present image according to the weighting adjusted value, and then produces the pixel of image output.For instance, can the GTG value of the pixel (3,3) of present image be added that the weighting adjusted value can obtain the GTG value of the pixel of image output (3,3), that is the GTG value=180+5=185 of the pixel of image output (3,3).
Comprehensively above-mentioned, the step S201 of present embodiment～S204, degree and each block of dynamic menu of can leveling off to according to each block of present image level off to high-contrast image's degree and decide the sharpening degree of image processing.Therefore not only can effectively strengthen the image detail lines improves the dynamic fuzzy problem, but also can avoid producing lofty noise.
Via the teaching of above-mentioned steps S201～S204, have the knack of the GTG value that art technology person should try to achieve other pixel of image output easily.For instance, the GTG value of the pixel of above-mentioned image output (3,3) is to be tried to achieve with the pixel (3,3) of (3,3) and previous image by pixel (1,1), (1,2), (1,3), (2,1), (2,2), (2,3), (3,1), (3,2) of present image.In like manner can analogize, repeated execution of steps S201～S204, the GTG value of the pixel of image output (3,4) also can be by the pixel (1,2), (1 of present image; 3), (1,4), (2,2), (2,3), (2,4), (3; 2), try to achieve with the pixel (3,4) of (3,4) and previous image (3,3).So can obtain complete image output.
What deserves to be mentioned is; Though image processor and method thereof have been depicted a possible kenel in the foregoing description; But having common knowledge the knowledgeable in the affiliated technical field should know; Each manufacturer is all different for image processor and method design thereof, and therefore application of the present invention is when being not restricted to the possible kenel of this kind.In other words, so long as according to the pixel of present image and near a plurality of reference pixel calculate adjusting values thereof.In addition, different according to the pixel of present image with the GTG value difference of the pixel of previous image, calculate weight coefficient.In addition, adjusting present image according to adjusted value and weight coefficient again, just has been to have met spirit of the present invention place.Below lift several embodiments again so that this area has the understanding spirit of the present invention that common knowledge the knowledgeable can be further, and embodiment of the present invention.
Please refer again to Fig. 2, though execution in step S201, S202 in regular turn in the foregoing description, the present invention is not as limit.In other embodiments, also can first execution in step S202 execution in step S201 again, so also can reach similar effect.
Please remerge with reference to Fig. 2 and Fig. 4, in the above-described embodiments, though step S201 is with the pixel (1,1), (1 of present image; 2), (1,3), (2,1), (2,2), (2; 3), the pixel (3 of (3,1), (3,2) and (3,3) and previous image; 3) calculate the adjusted value of pixel (3,3), but the present invention is not as limit about image output.For instance, Fig. 5 is the image block synoptic diagram of another embodiment.In the embodiment of Fig. 5, step S201 also can be according to pixel (1,1), (1,2), (1,3), (2 of present image; 1), (2,2), (2,3), (3,1), (3; 2) calculate the adjusted value of pixel (2,2) with the pixel (2,2) of (3,3) and previous image about image output.
Again for example, Fig. 6 is the image block synoptic diagram of another embodiment.In the embodiment of Fig. 6, step S201 also can be according to pixel (1,1), (1,2), (1,3), (1 of present image; 4), (2,1), (2,2), (2,3), (2,4), (3; 1), (3,2), (3,3), (3,4), (4,1), (4; 2), the pixel (4,4) of (4,3) and (4,4) and previous image is calculated the adjusted value of the pixel (4,4) about image output.It should be noted that suggestion can be adopted identical embodiment, otherwise unnecessary noise may occur in the process of each pixel that produces image output.
In sum, the present invention is according to the pixel of present image and near a plurality of reference pixel calculate adjusting values thereof.In addition, different according to the pixel of present image with the GTG value difference of the pixel of previous image, calculate weight coefficient.In addition, adjust present image according to adjusted value and weight coefficient again.Thus, just adjustment present image in adaptability ground not only can effectively be strengthened the image detail lines and improve the dynamic fuzzy problem, but also can avoid producing lofty noise.Moreover, all embodiment of the present invention have more advantage:
1. cooperate lookup table circuit can effectively reduce the operand of computing unit, and can quicken arithmetic speed.
2. see through step S201 and can strengthen high-contrast image's sharpen effect, and can keep or weaken low contrast image's sharpen effect.
3. the resulting weight coefficient of step S202 can be convenient to follow-up image processing, and then only carries out sharpening to dynamic menu and handle, and can select not carry out the sharpening processing or reduce sharpen effect for tableaux.
4. if the pixel (3,3) of image is uniform smooth picture or tableaux at present, the resulting weighting adjusted value of step S203 then can be 0, so can effectively avoid lofty noise to produce.
Though the present invention discloses as above with several embodiment; Right its is not in order to limit the present invention; Has common knowledge the knowledgeable in the technical field under any; Do not breaking away from the spirit and scope of the present invention, when can doing a little change and retouching, so protection scope of the present invention is as the criterion when looking the claim person of defining.
Claims (8)
1. an image treatment method is characterized in that, comprising:
Calculate one first adjusted value according to first pixel of a present image and near a plurality of first reference pixels thereof; This first adjusted value is bigger; Represent pixel and near the pixel thereof of present image more to level off to the high-contrast image, otherwise then represent pixel and near the pixel thereof of present image more to level off to the low contrast image;
GTG value difference according to first pixel of first pixel of this present image and a previous image is different, calculates one first weight coefficient, and on behalf of the pixel of present image, this first weight coefficient level off to the degree of dynamic menu;
Calculate one first weighting adjusted value according to this first adjusted value and this first weight coefficient; And
Adjust first pixel of this present image according to this first weighting adjusted value, and then produce first pixel of an image output.
2. image treatment method as claimed in claim 1 is characterized in that, wherein first pixel of this present image and near those first reference pixels thereof are formed the pel array of M * N, and wherein M and N are the positive integer more than or equal to 2.
3. image treatment method as claimed in claim 2 is characterized in that, wherein first pixel of this present image is positioned at the lower right corner of this pel array.
4. image treatment method as claimed in claim 1 is characterized in that, wherein this first adjusted value deducts first pixel of this present image and near the average GTG value of those first reference pixels thereof for the GTG value of first pixel of this present image.
5. image treatment method as claimed in claim 1 is characterized in that, wherein different with the GTG value difference of first pixel of this previous image according to first pixel of this present image, the step of calculating this first weight coefficient comprises:
First pixel of this present image and the GTG value difference of first pixel of this previous image is different divided by a reference value and then obtain this first weight coefficient.
6. image treatment method as claimed in claim 1 is characterized in that, wherein this first weighting adjusted value equals this first adjusted value and multiply by this first weight coefficient.
7. image treatment method as claimed in claim 1 is characterized in that, wherein the GTG value of first pixel of this image output GTG value that equals first pixel of this present image adds this first weighting adjusted value.
8. an image processor is characterized in that, comprising:
One storage element stores a previous image; And
One computing unit couples this storage element, calculates an adjusted value according to the pixel of a present image and near a plurality of reference pixels thereof; And it is different with the GTG value difference of the pixel of this previous image according to the pixel of this present image; Calculate a weight coefficient, this computing unit calculates a weighting adjusted value according to this adjusted value and this weight coefficient in addition, and adjusts the pixel of this present image according to this weighting adjusted value; And then produce the pixel of an image output; Wherein the pixel of the pixel of the pixel of this present image, this previous image and this image output corresponds to each other, and adjusted value is bigger, represents pixel and near the pixel thereof of present image more to level off to the high-contrast image; Otherwise pixel and near the pixel thereof of then representing present image more level off to the low contrast image, and on behalf of the pixel of present image, weight coefficient level off to the degree of dynamic menu.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2009100529419A CN101923706B (en) | 2009-06-11 | 2009-06-11 | Image processing device and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2009100529419A CN101923706B (en) | 2009-06-11 | 2009-06-11 | Image processing device and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN101923706A CN101923706A (en) | 2010-12-22 |
| CN101923706B true CN101923706B (en) | 2012-05-30 |
Family
ID=43338616
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2009100529419A Expired - Fee Related CN101923706B (en) | 2009-06-11 | 2009-06-11 | Image processing device and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN101923706B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108550348B (en) * | 2018-04-02 | 2020-04-03 | 深圳市华星光电技术有限公司 | Image processing method for display device |
| WO2020056744A1 (en) * | 2018-09-21 | 2020-03-26 | 华为技术有限公司 | Smear evaluation and improvement method and electronic device |
| CN109660698B (en) * | 2018-12-25 | 2021-08-03 | 苏州佳世达电通有限公司 | Image processing system and image processing method |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1761286A (en) * | 2005-11-03 | 2006-04-19 | 上海交通大学 | Method for detecting movement detection by using edge detection, and for removing ripple noise through medium filtering |
| CN1842134A (en) * | 2005-03-31 | 2006-10-04 | 日本先锋公司 | Noise reducing apparatus and noise reducing method |
| CN101272452A (en) * | 2007-03-19 | 2008-09-24 | 索尼德国有限责任公司 | Apparatus and method for reducing motion blur in a video signal |
| CN101355646A (en) * | 2007-07-26 | 2009-01-28 | 广达电脑股份有限公司 | Apparatus and method for eliminating noise |
-
2009
- 2009-06-11 CN CN2009100529419A patent/CN101923706B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1842134A (en) * | 2005-03-31 | 2006-10-04 | 日本先锋公司 | Noise reducing apparatus and noise reducing method |
| CN1761286A (en) * | 2005-11-03 | 2006-04-19 | 上海交通大学 | Method for detecting movement detection by using edge detection, and for removing ripple noise through medium filtering |
| CN101272452A (en) * | 2007-03-19 | 2008-09-24 | 索尼德国有限责任公司 | Apparatus and method for reducing motion blur in a video signal |
| CN101355646A (en) * | 2007-07-26 | 2009-01-28 | 广达电脑股份有限公司 | Apparatus and method for eliminating noise |
Non-Patent Citations (2)
| Title |
|---|
| JP特开2003-50560A 2003.02.21 |
| JP特开2009-81574A 2009.04.16 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN101923706A (en) | 2010-12-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP4491646B2 (en) | Display device | |
| TWI280784B (en) | Image processor, image processing method, and image processing program | |
| US7956834B2 (en) | Method for driving liquid crystal display and apparatus employing the same | |
| JP5221550B2 (en) | Image display device and image display method | |
| US8913876B2 (en) | Image processing apparatus, image processing method, and storage medium | |
| US8416269B2 (en) | Liquid crystal display device and driving method thereof | |
| US20120092387A1 (en) | Overdriving apparatus and overdriving value generating method | |
| JP5116266B2 (en) | Display device and video signal correction method | |
| US10504487B2 (en) | Ambient and content adaptive pixel manipulation | |
| WO2019179512A1 (en) | Display method, display device, and display | |
| CN101923706B (en) | Image processing device and method | |
| US8472723B2 (en) | Image processing method and related apparatus | |
| JP2011124893A (en) | Image processor, method for controlling the same, and program | |
| US20110110602A1 (en) | Image processing apparatus and control method thereof, and computer-readable storage medium | |
| CN109599068B (en) | VR equipment and control method thereof | |
| JP2008125049A (en) | Image processing ic, image processing apparatus and back light driving device | |
| CN110767144B (en) | Anti-shake method and device for screen display of mobile terminal, mobile terminal and storage medium | |
| EP2397988A2 (en) | Display apparatus and non-photorealistic rendering processing method applied thereto | |
| US8768091B2 (en) | Method for generating sketch image and display apparatus applying the same | |
| CN109036311B (en) | Display driving method, display driving device and device with storage function | |
| JP2011253172A (en) | Display device | |
| US8285069B2 (en) | Image processing device and method thereof | |
| TWI388219B (en) | Image processing device and method thereof | |
| KR102332274B1 (en) | Image processing circuit and display device including the same | |
| JP5462912B2 (en) | Backlight drive device, image display device, and image processing device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20120530 |