CN103985102A - Image processing method and system - Google Patents
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- CN103985102A CN103985102A CN201410236178.6A CN201410236178A CN103985102A CN 103985102 A CN103985102 A CN 103985102A CN 201410236178 A CN201410236178 A CN 201410236178A CN 103985102 A CN103985102 A CN 103985102A
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Abstract
The invention provides an image processing method. The image processing method comprises the step of reading an image to be processed, the step of searching for an image matched with the image to be processed, and the step of enhancing the resolution ratio of the image to be processed according to the matched image to obtain an image with the enhanced resolution ratio. The invention further provides an image processing system. By means of the image processing method and system, the purpose of the good enhancing effect of the resolution ratio of the image can be achieved easily.
Description
Technical field
The present invention relates to technical field of image processing, relate in particular to a kind of image processing method and system.
Background technology
Image resolution ratio enhancing generally includes based on interpolation, based on reconstruction and the method based on study.Wherein, the image processing method based on interpolation is exactly generally to utilize the gray-scale value of known vicinity points to produce the gray-scale value of unknown pixel point, to regenerated and to have more high-resolution image by original image.Image processing method based on rebuilding is generally and utilizes one group of inferior quality, low-resolution image (or motion sequence) to produce single width high-quality, high-definition picture.Image processing method based on study is generally trains the training storehouse of a large amount of high-definition picture compositions, therefrom extract for the prior imformation of figure image intensifying and high-frequency information repairing and instruct the resolution of input picture to promote, the effect strengthening to reach image resolution ratio.
But, although the image processing method based on interpolation is simple, and realizes conveniently,, this kind of method is limited to the effect of figure image intensifying, because the radio-frequency component that single image interpolation can not be recovered to lose in sampling process.Real-time, robustness, the blind super-resolution of the image that the image processing method based on rebuilding obtains are difficult to be guaranteed.Image processing method based on study needs a large amount of training sets, depends on the priori of training set itself, implements more inconvenient.
Therefore, how providing a kind of image resolution ratio that can realize strengthen respond well and be easy to the image processing method and the system that realize, is those skilled in the art's technical matterss urgently to be resolved hurrily.
Summary of the invention
The invention provides a kind of image processing method and system, the problem existing to solve prior art.
To achieve these goals, the invention provides image processing method and image processing system.
A kind of image processing method, comprises step:
Send pending image to server;
The image of search and described pending images match; And
According to the image of described coupling, described pending image is carried out to resolution enhancing, obtain resolution and strengthen image.
Wherein, search comprises with the method for the image of described pending images match:
Screening obtains the image of Gray-scale Matching;
Adopt characteristic point matching method in the image of the Gray-scale Matching obtaining, to screen the image that obtains Feature Points Matching; And
Pending image and Feature Points Matching image are carried out to matrix decomposition and obtain singular value, and relatively obtain and the image of pending images match.
Wherein, the resolution of the image of described coupling is greater than the resolution of described pending image, according to the image of described coupling, described pending image is carried out to resolution enhancing, and the method that obtains resolution enhancing image comprises:
Pending image is carried out to Feature Points Matching with the image mating; And
Pixel size ratio according to the unique point, pending image of coupling with the image mating, ask for the pixel value of the pixel that matching image is corresponding according to proper vector, and adopt the pixel value of asking for to substitute the respective pixel of pending image, thereby obtain the image that resolution strengthens.
Wherein, described network is LTE network.
A kind of image processing system, it comprises terminal and server, described terminal, for uploading pending image to described server; Described server, for searching for and the image of described pending images match, and carries out resolution according to the image of described coupling to described pending image and strengthens and process, and the resolution obtaining after processing is strengthened to image is sent to described terminal.
Wherein, described server comprises:
Image receiver module, the pending image sending for receiving described terminal;
Images match module, for searching for and obtain and the image of described pending images match;
Image processing module, for described pending image being strengthened to resolution processes according to the image of described coupling, obtains the image that resolution strengthens.
Wherein, image processing module is for carrying out Feature Points Matching by pending image with the image mating, and strengthen the size of image and the image mating according to the unique point, resolution of coupling, ask for the pixel value of the pixel that matching image is corresponding according to proper vector, and adopt the pixel value of asking for to substitute the respective pixel of pending image, thereby obtain the image that resolution strengthens
Wherein, described server also comprises image sending module, described image sending module is for sending to terminal the image that resolution strengthens, and described terminal also comprises image collection module, the image that described image collection module strengthens for receiving the resolution of described image sending module transmission.
A kind of image processing system, it comprises terminal and server, described terminal, for uploading pending image to described server, and receive the image of the coupling that described server returns, and according to the image of described coupling, described pending image is carried out to resolution and strengthen and process, obtain the image that resolution strengthens, described server is for searching for and the image of described pending images match, and the image of the coupling obtaining is sent to described terminal.
Wherein, described terminal comprises image uploading module, image collection module and image processing module, described image uploading module is for uploading pending image to server, described image collection module is for receiving the image of described server and described pending images match, described image processing module, for described pending image being strengthened to resolution processes according to the image of described coupling, obtains the image that resolution strengthens.
The image processing method that the technical program provides and system, by by pending image uploading to server, the image that search matches with pending image, carries out resolution according to the image of described coupling to described pending image and strengthens and process.In the technical program, the matching image of storing in local terminal is limited, by searching for, can search the image of coupling.Therefore the image processing method that, the technical program provides can be realized fast and easily image resolution ratio and strengthen.
Brief description of the drawings
The process flow diagram of the image processing method that Fig. 1 provides for the technical program embodiment;
The structured flowchart of the image processing system that the embodiment that Fig. 2 is the technical program provides;
The structured flowchart of the image processing system that another embodiment that Fig. 3 is the technical program provides.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearer, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein, only for explaining the present invention, is not intended to limit the present invention.
Refer to Fig. 1, the first embodiment of the present invention provides a kind of image processing method, and described image processing method comprises step:
S101, reads pending image;
In S101, described pending image can be by local terminal, as the lower image of resolution of the shootings such as mobile phone.Described pending image is sent to the search engine of server by terminal, described server reads described pending image.
S102, the image in search with described pending images match;
The resolution of the image of described coupling is greater than pending image.In present embodiment, can in network, search for the image with pending images match.Also can in comprising the database of a large amount of pictures, other search for.In S102, search can be adopted with the following method with the image of described pending images match:
First, obtain the image of Gray-scale Matching in screening.
Concrete, can adopt the method for grey level histogram to search the image of Gray-scale Matching.Grey level histogram (histogram) is the function of gray level, has the number of the pixel of every kind of gray level in presentation video, every kind of frequency that gray scale occurs in reflection image.The horizontal ordinate of grey level histogram is gray level, and ordinate is the frequency that this gray level occurs, is the most basic statistical nature of image.According to the information of the grey level histogram of pending image, search and the akin image of its grey level histogram.
Then, adopt characteristic point matching method in the image of the Gray-scale Matching obtaining, to screen the image that obtains Feature Points Matching.
Concrete, can in the image of pending image and described Gray-scale Matching, extract unique point respectively, and then judge the Feature Points Matching situation of the unique point extracted in described pending image and the image of Gray-scale Matching, judge and obtain the image that mates.Described unique point can be local maximum point, local edge or angle etc.The extraction of described unique point and the method for coupling can adopt the extraction of unique point and the realization of the algorithm of coupling in prior art.Because the unique point in two images of coupling can not be mated completely, in the time mating, by the matching degree of similarity measurement unique point.In the time that the similarity of the unique point of two images reaches predetermined threshold, can judge that the unique point of two images matches.
Finally, pending image and Feature Points Matching image are carried out to matrix decomposition and obtain singular value, and relatively obtain and the image of pending images match.
According to the digital picture that is converted into of described pending image and Feature Points Matching image, thereby can adopt a matrix to represent a corresponding image.The matrix corresponding to each image decomposes, thereby calculates the singular value that each matrix is corresponding, i.e. the corresponding singular value of each image.Described singular value has stability, constant rate, rotational invariance and compressibility feature, has the ability of good anti-interference and noise.Thereby can obtain a image corresponding to singular value the most close with the singular value of described pending image, obtain the image of coupling.
This step can be carried out in network, and need in local terminal, not carry out.Preferably, described network is LTE (Long Term Evolution, Long Term Evolution) network, thereby has the feature fast of implementing.Certainly, described network can be also 2G network or 3G network.
Search also can adopt the additive method of images match in prior art to carry out with the image of described pending images match.
S103, carries out resolution enhancing according to the image of described coupling to described pending image, obtains resolution and strengthens image.
This step can complete in local terminal, in the time completing in local terminal, and need to be by the download image of coupling to local terminal.Be understandable that, this step also can be carried out in network high in the clouds, and the image that the resolution obtaining is strengthened is sent to local terminal.
This step specifically can be adopted with the following method and be realized:
First, pending image is carried out to Feature Points Matching with the image mating.
The method of Feature Points Matching can be identical with the method for Feature Points Matching in S102.Be understandable that, if processed in network high in the clouds, owing to having carried out before Feature Points Matching, this step can be carried out Feature Points Matching again.
Then, pixel size ratio according to the unique point, pending image of coupling with the image mating, ask for the pixel value of the pixel that matching image is corresponding according to proper vector, and adopt the pixel value of asking for to substitute the respective pixel of pending image, thereby obtain the image that resolution strengthens.
If two images are by carrying out Feature Points Matching, the content that the image in the unique point of coupling region around shows is close or identical.Magnitude relationship according to the resolution of pending image with the resolution of the image mating, determines the corresponding situation of resolution between two images.Then according to the direction of proper vector, obtain the unique point pixel value of respective pixel block around of matching image, as rgb value, adopt the block of pixels of respective pixel value to substitute pending image characteristic of correspondence point or unique point block of pixels around, thereby obtain the image that resolution strengthens.Proper vector can image of unique identification or an image-region, and proper vector direction is the direction of presentation video grey scale change.
For example, when the pixel of pending image is 800*600, and the pixel of image of coupling is while being 1600*1200, then according to the direction of proper vector, the unique point that can adopt matching image four pixels are around corresponding with a pixel of pending image.The pixel value of the unique point that calculates matching image four pixels around, and the pixel that adopts four pixel values calculating substitutes a pixel of correspondence in described pending image, thereby can in image to be strengthened, increase high-resolution details.
Be understandable that, when the pixel of image of coupling and the pixel of pending image be not while being being related to of integral multiple, can, according to method above, by corresponding to the block of pixels of image and the block of pixels of pending image of coupling, in image to be strengthened, increase high-resolution details to realize.
The image processing method that the technical program provides, by by pending image uploading to server, the image that search matches with pending image, carries out resolution according to the image of described coupling to described pending image and strengthens and process.In the technical program, the matching image of storing in local terminal is limited, by searching for, can search the image of coupling.Therefore the image processing method that, the technical program provides can be realized fast and easily image resolution ratio and strengthen.
Refer to Fig. 2, the technical program also correspondence provides a kind of image processing system 100, and described image processing system 100 comprises terminal 110 and server 120.
Described terminal 110 is for uploading pending image to described server 120.Described terminal can be connected in the electronic equipment in network for mobile phone, computer etc.Described pending image can be that described terminal taking obtains.
Described server 120 is for reading the image of pending image search and described pending images match, and according to the image of described coupling, described pending image is carried out to resolution enhancing and process, and the resolution enhancing image obtaining after processing is sent to described terminal 110.
Concrete, described terminal 110 comprises image uploading module 111 and image collection module 112.Described image uploading module 111 is for uploading pending image to server 120.The image that described image collection module 112 strengthens for the resolution that receives described server 120 and send.
Described server 120 comprises image receiver module 121, images match module 122, image processing module 123 and image sending module 124.
The pending image that described image receiver module 121 sends for receiving described terminal 110.
Described images match module 122 is for searching for and obtain and the image of described pending images match.Concrete, described images match module 122 can obtain the image of coupling in the following way.First, screening obtains the image of Gray-scale Matching.Concrete, can adopt the method for grey level histogram to search the image of Gray-scale Matching.According to the information of the grey level histogram of pending image, search and the akin image of its grey level histogram.Then, adopt characteristic point matching method in the image of the Gray-scale Matching obtaining, to screen the image that obtains Feature Points Matching.In the image of pending image and described Gray-scale Matching, extract respectively unique point, and then judge the Feature Points Matching situation of the unique point extracted in described pending image and the image of Gray-scale Matching, judgement obtains the image mating.Described unique point can be local maximum point, local edge or angle etc.The extraction of described unique point and the method for coupling can adopt the extraction of unique point and the realization of the algorithm of coupling in prior art.Finally, pending image and Feature Points Matching image are carried out to matrix decomposition and obtain singular value, obtain the image with pending images match.According to the digital picture that is converted into of described pending image and Feature Points Matching image, thereby can adopt a matrix to represent a corresponding image.The matrix corresponding to each image decomposes, thereby calculates the singular value that each matrix is corresponding, i.e. the corresponding singular value of each image.Described singular value has stability, constant rate, rotational invariance and compressibility feature, has the ability of good anti-interference and noise.Thereby can obtain a image corresponding to singular value the most close with the singular value of described pending image, obtain the image of coupling.
Described image processing module 123, for described pending image being strengthened to resolution processes according to the image of described coupling, obtains the image that resolution strengthens.Concrete, described image processing module 120 is for carrying out Feature Points Matching by pending image with the image mating, and strengthen the size of image and the image mating according to the unique point, resolution of coupling, ask for the pixel value of the pixel that matching image is corresponding according to proper vector, and adopt the pixel value of asking for to substitute the respective pixel of pending image, thereby obtain the image that resolution strengthens.
Described image sending module 124 is sent to described terminal 110 for the image that described resolution is strengthened.
The image processing system that the technical program provides, by reading pending image, and the image that matches of search and pending image, carries out resolution according to the image of described coupling to described pending image and strengthens and process.In the technical program, the matching image of storing in local terminal is limited, by searching for, can search the image of coupling.Therefore the image processing method that, the technical program provides can be realized fast and easily image resolution ratio and strengthen.
Refer to Fig. 3, another embodiment of the technical program provides a kind of image processing system 200, and described image processing system 200 comprises terminal 210 and server 220.
Described terminal 210 is for uploading pending image to described server 220, and receive the image of the coupling that described server 220 returns, according to the image of described coupling, described pending image is carried out to resolution and strengthen processing, obtain the image that resolution strengthens.Described terminal can be connected in the electronic equipment in network for mobile phone, computer etc.Described pending image can be that described terminal taking obtains.
Described server 220 is for reading described pending image search and the image of described pending images match, and the image of the coupling obtaining is sent to described terminal 210.
Concrete, described terminal 210 comprises image uploading module 211 and image collection module 212 and image processing module 213.Described image uploading module 211 is for uploading pending image to server 220.Described image collection module 212 is for receiving the image of described server 220 and described pending images match.Described image processing module 213, for described pending image being strengthened to resolution processes according to the image of described coupling, obtains the image that resolution strengthens.Concrete, described image processing module 213 is for carrying out Feature Points Matching by pending image with the image mating, and strengthen the size of image and the image mating according to the unique point, resolution of coupling, ask for the pixel value of the pixel that matching image is corresponding according to proper vector, and adopt the pixel value of asking for to substitute the respective pixel of pending image, thereby obtain the image that resolution strengthens.
Described server 220 comprises image receiver module 221, images match module 222 and image sending module 223.
The pending image that described image receiver module 221 sends for receiving described terminal 210.
Described images match module 222 is for searching for and obtain and the image of described pending images match.Concrete, described images match module 222 can obtain the image of coupling in the following way.First, screening obtains the image of Gray-scale Matching.Concrete, can adopt the method for grey level histogram to search the image of Gray-scale Matching.According to the information of the grey level histogram of pending image, search and the akin image of its grey level histogram.Then, adopt characteristic point matching method in the image of the Gray-scale Matching obtaining, to screen the image that obtains Feature Points Matching.In the image of pending image and described Gray-scale Matching, extract respectively unique point, and then judge the Feature Points Matching situation of the unique point extracted in described pending image and the image of Gray-scale Matching, judgement obtains the image mating.Described unique point can be local maximum point, local edge or angle etc.The extraction of described unique point and the method for coupling can adopt the extraction of unique point and the realization of the algorithm of coupling in prior art.Finally, pending image and Feature Points Matching image are carried out to matrix decomposition and obtain singular value, obtain the image with pending images match.According to the digital picture that is converted into of described pending image and Feature Points Matching image, thereby can adopt a matrix to represent a corresponding image.The matrix corresponding to each image decomposes, thereby calculates the singular value that each matrix is corresponding, i.e. the corresponding singular value of each image.Described singular value has stability, constant rate, rotational invariance and compressibility feature, has the ability of good anti-interference and noise.Thereby can obtain a image corresponding to singular value the most close with the singular value of described pending image, obtain the image of coupling.
Described image sending module 223 is for being sent to the image of described coupling described terminal 110.
The image processing system that the technical program provides, search and the image that pending image matches, carry out resolution according to the image of described coupling to described pending image and strengthen processing.In the technical program, the matching image of storing in local terminal is limited, by searching for, can search the image of coupling.Therefore the image processing method that, the technical program provides can be realized fast and easily image resolution ratio and strengthen.
Certainly; the present invention also can have other various embodiments; in the situation that not deviating from spirit of the present invention and essence thereof; those of ordinary skill in the art are when making according to the present invention various corresponding changes and distortion, but these corresponding changes and distortion all should belong to the protection domain of the appended claim of the present invention.
Claims (10)
1. an image processing method, comprises step:
Read pending image;
The image of search and described pending images match; And
According to the image of described coupling, described pending image is carried out to resolution enhancing, obtain resolution and strengthen image.
2. image processing method as claimed in claim 1, is characterized in that, search comprises with the method for the image of described pending images match:
Screening obtains the image of Gray-scale Matching;
Adopt characteristic point matching method in the image of the Gray-scale Matching obtaining, to screen the image that obtains Feature Points Matching; And
Pending image and Feature Points Matching image are carried out to matrix decomposition and obtain singular value, and relatively obtain and the image of pending images match.
3. image processing method as claimed in claim 1, it is characterized in that, the resolution of the image of described coupling is greater than the resolution of described pending image, according to the image of described coupling, described pending image is carried out to resolution enhancing, and the method that obtains resolution enhancing image comprises:
Pending image is carried out to Feature Points Matching with the image mating; And
Pixel size ratio according to the unique point, pending image of coupling with the image mating, ask for the pixel value of the pixel that matching image is corresponding according to proper vector, and adopt the pixel value of asking for to substitute the respective pixel of pending image, thereby obtain the image that resolution strengthens.
4. image processing method as claimed in claim 1, is characterized in that, the image of search and described pending images match in network, and described network is LTE network.
5. an image processing system, it comprises terminal and server, described terminal, for uploading pending image to described server; Described server, for reading and the image of search and described pending images match, and carries out resolution according to the image of described coupling to described pending image and strengthens and process, and the resolution obtaining after processing is strengthened to image is sent to described terminal.
6. image processing system as claimed in claim 5, is characterized in that, described server comprises:
Image receiver module, the pending image sending for reading described terminal;
Images match module, for searching for and obtain and the image of described pending images match;
Image processing module, for described pending image being strengthened to resolution processes according to the image of described coupling, obtains the image that resolution strengthens.
7. image processing system as claimed in claim 6, it is characterized in that, image processing module is for carrying out Feature Points Matching by pending image with the image mating, and strengthen the size of image and the image mating according to the unique point, resolution of coupling, ask for the pixel value of the pixel that matching image is corresponding according to proper vector, and adopt the pixel value of asking for to substitute the respective pixel of pending image, thereby obtain the image that resolution strengthens.
8. image processing system as claimed in claim 5, it is characterized in that, described server also comprises image sending module, described image sending module is for sending to terminal the image that resolution strengthens, described terminal also comprises image collection module, the image that described image collection module strengthens for receiving the resolution of described image sending module transmission.
9. an image processing system, it comprises terminal and server, described terminal is for uploading pending image to described server, and receive the image of the coupling that described server returns, according to the image of described coupling, described pending image is carried out to resolution and strengthen processing, obtain the image that resolution strengthens, described server is used for reading the image of described pending image search and described pending images match, and the image of the coupling obtaining is sent to described terminal.
10. image processing system as claimed in claim 9, it is characterized in that, described terminal comprises image uploading module, image collection module and image processing module, described image uploading module is for uploading pending image to server, described image collection module is for receiving the image of described server and described pending images match, described image processing module, for described pending image being strengthened to resolution processes according to the image of described coupling, obtains the image that resolution strengthens.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107492128A (en) * | 2017-09-14 | 2017-12-19 | 光锐恒宇（北京）科技有限公司 | A kind of image processing method and device |
| CN107622788A (en) * | 2017-09-18 | 2018-01-23 | 张荃 | A kind of cloud interactive image High-precision display method |
| CN108133695A (en) * | 2018-01-02 | 2018-06-08 | 京东方科技集团股份有限公司 | A kind of method for displaying image, device, equipment and medium |
| CN110930338A (en) * | 2019-11-29 | 2020-03-27 | Oppo广东移动通信有限公司 | Image processing method, image processing apparatus, electronic device, and computer-readable storage medium |
| CN111010509A (en) * | 2019-12-05 | 2020-04-14 | Oppo广东移动通信有限公司 | Image processing method, terminal, image processing system, and computer-readable storage medium |
| CN111083359A (en) * | 2019-12-06 | 2020-04-28 | Oppo广东移动通信有限公司 | Image processing method and apparatus, electronic device, and computer-readable storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5309522A (en) * | 1992-06-30 | 1994-05-03 | Environmental Research Institute Of Michigan | Stereoscopic determination of terrain elevation |
| CN1694408A (en) * | 2005-05-17 | 2005-11-09 | 上海大学 | Remote image precessing network service system and its network service mode |
| US20130129213A1 (en) * | 2011-08-31 | 2013-05-23 | Elya Shechtman | Non-Rigid Dense Correspondence |
| CN103136292A (en) * | 2011-12-05 | 2013-06-05 | 中国移动通信集团公司 | Image retrieval method and image retrieval device based on image characteristics |
| CN103389978A (en) * | 2012-05-07 | 2013-11-13 | 联想(北京)有限公司 | Method and system for acquiring information through augmented reality technologies |
| CN103455826A (en) * | 2013-09-08 | 2013-12-18 | 西安电子科技大学 | Efficient matching kernel body detection method based on rapid robustness characteristics |
-
2014
- 2014-05-29 CN CN201410236178.6A patent/CN103985102A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5309522A (en) * | 1992-06-30 | 1994-05-03 | Environmental Research Institute Of Michigan | Stereoscopic determination of terrain elevation |
| CN1694408A (en) * | 2005-05-17 | 2005-11-09 | 上海大学 | Remote image precessing network service system and its network service mode |
| US20130129213A1 (en) * | 2011-08-31 | 2013-05-23 | Elya Shechtman | Non-Rigid Dense Correspondence |
| CN103136292A (en) * | 2011-12-05 | 2013-06-05 | 中国移动通信集团公司 | Image retrieval method and image retrieval device based on image characteristics |
| CN103389978A (en) * | 2012-05-07 | 2013-11-13 | 联想(北京)有限公司 | Method and system for acquiring information through augmented reality technologies |
| CN103455826A (en) * | 2013-09-08 | 2013-12-18 | 西安电子科技大学 | Efficient matching kernel body detection method based on rapid robustness characteristics |
Non-Patent Citations (2)
| Title |
|---|
| 叶东华: "基于全景视觉的图像配准方法研究", 《中国优秀硕士学位论文全文数据库•信息科技辑》 * |
| 李展、张庆丰、孟小华、梁鹏、刘玉葆: "多分辨率图像序列的超分辨率重建", 《自动化学报》 * |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107492128A (en) * | 2017-09-14 | 2017-12-19 | 光锐恒宇（北京）科技有限公司 | A kind of image processing method and device |
| CN107492128B (en) * | 2017-09-14 | 2020-11-20 | 光锐恒宇（北京）科技有限公司 | Image processing method and device |
| CN107622788A (en) * | 2017-09-18 | 2018-01-23 | 张荃 | A kind of cloud interactive image High-precision display method |
| CN108133695A (en) * | 2018-01-02 | 2018-06-08 | 京东方科技集团股份有限公司 | A kind of method for displaying image, device, equipment and medium |
| CN108133695B (en) * | 2018-01-02 | 2020-08-14 | 京东方科技集团股份有限公司 | Image display method, device, equipment and medium |
| CN110930338A (en) * | 2019-11-29 | 2020-03-27 | Oppo广东移动通信有限公司 | Image processing method, image processing apparatus, electronic device, and computer-readable storage medium |
| CN110930338B (en) * | 2019-11-29 | 2023-06-23 | Oppo广东移动通信有限公司 | Image processing method, image processing apparatus, electronic device, and computer-readable storage medium |
| CN111010509A (en) * | 2019-12-05 | 2020-04-14 | Oppo广东移动通信有限公司 | Image processing method, terminal, image processing system, and computer-readable storage medium |
| CN111010509B (en) * | 2019-12-05 | 2022-02-18 | Oppo广东移动通信有限公司 | Image processing method, terminal, image processing system, and computer-readable storage medium |
| CN111083359A (en) * | 2019-12-06 | 2020-04-28 | Oppo广东移动通信有限公司 | Image processing method and apparatus, electronic device, and computer-readable storage medium |
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Application publication date: 20140813 |