CN104918044A - Image processing method and device - Google Patents
Image processing method and device Download PDFInfo
- Publication number
- CN104918044A CN104918044A CN201410096366.3A CN201410096366A CN104918044A CN 104918044 A CN104918044 A CN 104918044A CN 201410096366 A CN201410096366 A CN 201410096366A CN 104918044 A CN104918044 A CN 104918044A
- Authority
- CN
- China
- Prior art keywords
- image
- block
- filter
- decoded
- module
- 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.)
- Granted
Links
Landscapes
- Image Processing (AREA)
- Compression Or Coding Systems Of Tv Signals (AREA)
Abstract
The invention discloses an image processing method. The method comprises the following steps: obtaining an image to be processed; decoding the image to be processed to obtain a decoded image; carrying out sub-block processing on the decoded image; carrying out filter processing on all sub-block images to obtain sub-block images after filtering; and splicing the sub-block images after filtering and encoding the image obtained after splicing to obtain a first image. The invention also discloses an image processing device. According to the image processing method and device, not only the image processing speed is improved, but also filter processing of the large-size original image is realized, thereby ensuring same quality of the processed image and the original image.
Description
Technical field
The present invention relates to image processing field, particularly relate to a kind of image processing method and device.
Background technology
Along with the develop rapidly of intelligent terminal, people can utilize intelligent terminal to take anywhere or anytime, can also carry out various image procossing, to obtain different image effects simultaneously.
There is the method for two kinds of image procossing in prior art, a kind of method reduces dimension of picture, thus reduce photo resolution, and the method is applicable to internal memory and the limited intelligent terminal of CPU disposal ability, but causes the picture after process unintelligible.Another kind does not reduce dimension of picture to process, but its processing speed is comparatively slow, and user cannot see result in time.
Summary of the invention
Main purpose of the present invention is to provide a kind of image processing method and device, is intended to not reduce dimension of picture when processing, accelerates the processing speed of image.
The invention provides a kind of image processing method, comprise the following steps:
Obtain pending image;
Described pending image is decoded, obtains decoded image;
Described decoded image is carried out piecemeal process;
Successively filter process is carried out to all block images, obtain the block image after filter;
Described block image is spliced, and spliced image is encoded, obtain the first image.
Present invention also offers a kind of image processing apparatus, comprising:
Image collection module, for obtaining pending image;
Image decoder module, for decoding to described pending image, obtains decoded image;
Image block module, for carrying out piecemeal process by described decoded image;
Filter processing module, for carrying out filter process to all block images successively, obtains the block image after filter;
Image synthesis unit, for being spliced by described block image, and encoding to spliced image, obtaining the first image.
The embodiment of the present invention is by carrying out piecemeal process to pending image, and filter process is carried out to block image, finally again the block image after process is spliced, form the image after filter process, not only increase the processing speed of image, but also achieve filter process is carried out to large-sized former figure, thus ensure that the picture after process and former figure's is identical in quality.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of image processing method first embodiment of the present invention;
Fig. 2 a carries out decoded image schematic diagram to pending image in image processing method of the present invention;
Fig. 2 b is the enlarged image schematic diagram in A portion in Fig. 2 a;
Fig. 3 is the image schematic diagram that the decoded image shown in Fig. 2 a carries out piecemeal process;
Fig. 4 is the schematic flow sheet of image processing method second embodiment of the present invention;
Fig. 5 is the schematic flow sheet carrying out filter process in image processing method of the present invention;
Fig. 6 is the schematic flow sheet of image processing method of the present invention 3rd embodiment;
Fig. 7 is the terminal operation schematic diagram that application image processing method of the present invention carries out image procossing;
Fig. 8 utilizes image processing method of the present invention and image processing method of the prior art to the comparison result schematic diagram after former figure process;
Fig. 9 is the high-level schematic functional block diagram of image processing apparatus first embodiment of the present invention;
Figure 10 is the high-level schematic functional block diagram of image processing apparatus second embodiment of the present invention;
Figure 11 is the high-level schematic functional block diagram of image processing apparatus of the present invention 3rd embodiment;
Figure 12 is the structural representation of the terminal that image processing apparatus of the present invention is applied.
The realization of the object of the invention, functional characteristics and advantage will in conjunction with the embodiments, are described further with reference to accompanying drawing.
Embodiment
Technical scheme of the present invention is further illustrated below in conjunction with Figure of description and specific embodiment.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
The invention provides a kind of image processing method.With reference to Fig. 1, the image processing method of this embodiment comprises the following steps:
Step S110, obtain pending image;
In this step, carry out image acquisition by opening the camera that terminal is arranged, this pending image can be an image, also can for multiple images taken continuously by camera.If multiple images that camera is taken continuously, then obtain pending image successively.This pending image is static images, and file format is " .JPG ", " .JPEG " etc.
Step S120, described pending image to be decoded, obtain decoded image;
Adopt the decoding process corresponding to image file format to decode to described pending image, and obtain decoded image.In the present embodiment, utilize in terminal the jpeg storehouse supporting neon instruction set, image is decoded, can decoding speed be improved.In another embodiment, the native mode of linux can also be used to decode to described pending image, because it has got around the supervision of android virtual machine to internal memory, thus take full advantage of terminal idle internal memory image is decoded, avoid internal memory to overflow.This decoded image comprises the pixel value of each pixel on picture.As shown in Figure 2 a and shown in Fig. 2 b.Wherein, Fig. 2 b is the enlarged diagram in A portion in Fig. 2 a, and in Fig. 2 b, S is pixel.
Step S130, described decoded image is carried out piecemeal process;
Described decoded image is carried out piecemeal process, obtains multiple block image.As shown in Figure 3, this image is divided into 9 blocks, has the pixel of equal number in each block image.Be understandable that, the present invention does not limit the number of this piecemeal, and it can be arranged as the case may be.
Step S140, successively filter process is carried out to all block images, obtain the block image after filter;
Take out the view data of piecemeal successively, and filter process is carried out to it, to obtain the block image after filter process.This filter process can comprise the filter of multiple different-effect, such as black and white, enhancing, Gauss, older picture, pencil drawing etc.According to the different filtering effects that user is arranged, block image is processed one by one.
Step S150, described block image to be spliced, and spliced image is encoded, obtain the first image.
After filter process is carried out to described block image, then the block image after process is spliced according to the coordinate figure of image, and spliced image is encoded, to obtain the first image.This coded system is corresponding with decoding process above.
The embodiment of the present invention is by carrying out piecemeal process to pending image, and filter process is carried out to block image, finally again the block image after process is spliced, form the image after filter process, not only increase the processing speed of image, but also achieve filter process is carried out to large-sized former figure, thus ensure that the picture after process and former figure's is identical in quality.
Further, with reference to Fig. 4, further comprising the steps of between above-mentioned steps S130 and step S140:
Step S160, the image after piecemeal is converted to texture image.
General texture transformation for the texture image pre-set is attached to the imaging surface after piecemeal, can form texture image.In the embodiment of the present invention, make full use of the parallel behavior of graphic process unit GPU, after first block image being carried out texture processing, then by the GLSL language in OPEN GL2.0, carry out Fragment programming, pixel each in the image after piecemeal is processed.And then can speed up processing.
Further, with reference to Fig. 5, above-mentioned steps S140 comprises:
Step S141, by described block image successively tablet pattern processor;
Step S142, graphic process unit carry out filter process to described block image, export the block image after filter; Wherein, while described graphic process unit exports block image, by described block image tablet pattern processor.
In the embodiment of the present invention, by controlling the block image quantity in graphic process unit, at the end of the process of graphic process unit filter, by in next block image tablet pattern processor while block image after exporting filter, thus ensure that in internal memory to only have a block image all the time, avoid the number of times of Memory recycle, accelerate processing speed.
Further, with reference to Fig. 6, also comprise before obtaining the first image:
Step S170, convergent-divergent process is carried out to described decoded image;
The embodiment of the present invention, by carrying out convergent-divergent to decoded image, and scaling can be the power side of 2.Particularly, pixels all in decoded image is sampled according to scaling, to obtain the little image of resolution.Such as a former figure is the image of 4000*3000, and being 2 carry out convergent-divergent according to scaling, is the image of 2000*1500 by acquisition one resolution.Consider the speed of follow-up filter process, the image after convergent-divergent can be arranged, such as, be less than the image of 1024*1024.
Step S180, filter process is carried out to the image after convergent-divergent process, obtain the second image;
Step S190, show described second image, described second image, when acquisition the first image, is replaced by the first image.
As shown in Figure 7, by opening the camera S4 in this terminal, this camera S4 also can be arranged on the back side of terminal certainly.Then click the control S1 that takes pictures, corresponding image can be obtained.Control S3 for arranging the various function setting of taking pictures, the setting of such as filter, setting of image size, whether continuous shooting etc.S2 region in terminal then for showing image, the second image of such as above-mentioned acquisition.When user clicks this S2, then this image will be presented on the whole display interface of terminal.
It should be noted that, after getting pending image, backstage is by startup two threads, and the priority of the one one thread is higher, for the treatment of the image after convergent-divergent, obtains the second image; The priority of second thread is lower, for the treatment of former figure, obtains the first image.Because the picture size of first thread process is less than the picture size of second thread process, so the second image will first obtain.User can view the effect after filter process faster.When first image obtain time, this first image by replacement second Image Saving in terminal.Therefore, the embodiment of the present invention when user's unaware, can complete the process of former figure, thus ensure that the quality of image.In addition, because the processing procedure of the second image is generally in 2s, therefore the embodiment of the present invention can capture 10 photos with filter treatment effect in 11 seconds, and the picture quality of the photo of this candid photograph can keep the quality of former figure.As shown in Figure 8, known by the contrast after the image procossing of image procossing of the prior art and the embodiment of the present invention, the quality of the image procossing of the embodiment of the present invention is higher.
Accordingly, present invention also offers a kind of image processing apparatus.With reference to Fig. 9, the image processing apparatus of this embodiment comprises:
Image collection module 110, for obtaining pending image;
Image decoder module 120, for decoding to described pending image, obtains decoded image; Or use the native mode of linux to decode to described pending image;
Image block module 130, for carrying out piecemeal process by described decoded image;
Filter processing module 140, for carrying out filter process to all block images successively, obtains the block image after filter;
Image synthesis unit 150, for being spliced by described block image, and encoding to spliced image, obtaining the first image.
This image collection module 110 carries out image acquisition by opening the camera that terminal is arranged, and this pending image can be an image, also can for multiple images taken continuously by camera.Then image decoder module 120 adopts the decoding process corresponding to image file format to decode to described pending image, and obtains decoded image.Utilize in terminal the jpeg storehouse supporting neon instruction set, image is decoded, can decoding speed be improved.In another embodiment, the native mode of linux can also be used to decode to described pending image, because it has got around the supervision of android virtual machine to internal memory, thus take full advantage of terminal idle internal memory image is decoded, avoid internal memory to overflow.Described decoded image is carried out piecemeal process by image block module 130, obtains multiple block image.Image filters module 140 takes out the view data of piecemeal successively, and carries out filter process to it, to obtain the block image after filter process.After carrying out filter process to described block image, the block image after process splices according to the coordinate figure of image by image synthesis unit 150, and encodes to spliced image, to obtain the first image.This coded system is corresponding with decoding process above.
The embodiment of the present invention is by carrying out piecemeal process to pending image, and filter process is carried out to block image, finally again the block image after process is spliced, form the image after filter process, not only increase the processing speed of image, but also achieve filter process is carried out to large-sized former figure, thus ensure that the picture after process and former figure's is identical in quality.
Further, with reference to Figure 10, the image processing apparatus in above-described embodiment also comprises image texture module 160, for the image after piecemeal is converted to texture image.General texture transformation for the texture image pre-set is attached to the imaging surface after piecemeal, can form texture image.In the embodiment of the present invention, make full use of the parallel behavior of graphic process unit GPU, after first block image being carried out texture processing, then by the GLSL language in OPEN GL2.0, carry out Fragment programming, pixel each in the image after piecemeal is processed.And then can speed up processing.
Further, above-mentioned filter processing module 140 also for:
By in described block image successively tablet pattern processor;
Graphic process unit carries out filter process to described block image, exports the block image after filter;
Wherein, while described graphic process unit exports block image, by described block image tablet pattern processor.
In the embodiment of the present invention, by controlling the block image quantity in graphic process unit, at the end of the process of graphic process unit filter, by in next block image tablet pattern processor while block image after exporting filter, thus ensure that in internal memory to only have a block image all the time, avoid the number of times of Memory recycle, accelerate processing speed.
Further, above-mentioned image decoder module 120 also for: utilize the JPEG storehouse that pre-sets, described pending figure decoded.
Further, with reference to Figure 11, the image processing apparatus of above-described embodiment also comprises: image scaling module 170 and display module 180, wherein:
Described image scaling module 170 is for carrying out convergent-divergent process to described decoded image;
Described filter processing module 140 also for: filter process is carried out to the image after convergent-divergent process, obtains the second image;
Described display module 180 also for: show described second image.
Above-mentioned image scaling module 170 is for carrying out convergent-divergent to decoded image, and scaling can be the power side of 2.Then the image after filter processing module 140 pairs of convergent-divergents carries out filter process, obtains the second image.Then this second image will be presented in terminal by display module 180, check for user.
It should be noted that, after getting pending image, backstage is by startup two threads, and the priority of the one one thread is higher, for the treatment of the image after convergent-divergent, obtains the second image; The priority of second thread is lower, for the treatment of former figure, obtains the first image.Because the picture size of first thread process is less than the picture size of second thread process, so the second image will first obtain.User can view the effect after filter process faster.When first image obtain time, this first image by replacement second Image Saving in terminal.Therefore, the embodiment of the present invention when user's unaware, can complete the process of former figure, thus ensure that the quality of image.In addition, because the processing procedure of the second image is generally in 2s, therefore the embodiment of the present invention can capture 10 photos with filter treatment effect in 11 seconds, and the picture quality of the photo of this candid photograph can keep the quality of former figure.As shown in Figure 8, known by the contrast after the image procossing of image procossing of the prior art and the embodiment of the present invention, the quality of the image procossing of the embodiment of the present invention is higher.
Further, above-mentioned image processing apparatus can arrange and be set directly in terminal, calls for terminal; Also can be arranged in the client of terminal, for client call.With reference to Figure 12, this terminal comprises: processor 101, memory 102, user interface 103, network interface 104, camera 105, display screen 106 and communication bus 107.Communication bus 107 is for the communication between building block each in terminal, and user interface 103 is for receiving the information of user's input, and this user interface can be wireline interface and wave point, such as keyboard, mouse etc.Network interface 104 communicates mutually with outside for terminal, and this network interface also can include line interface and wave point.Memory 102 can comprise one or more computer-readable recording mediums, and it not only comprises internal storage, also comprises external memory storage.Operating system and image procossing application program etc. is stored in this memory.Processor 101 for calling the image procossing application program in memory 102, to perform following operation:
Image processing commands is received by user interface 103;
Respond described image processing commands, obtain pending image by camera 105;
Described pending image is decoded, obtains decoded image;
Described decoded image is carried out piecemeal process;
Successively filter process is carried out to all block images, obtain the block image after filter;
Described block image is spliced, and spliced image is encoded, obtain the first image;
Described first image is stored in the memory 102.
Processor 101 also for calling the image procossing application program in memory 102, to perform following operation:
After described decoded image is carried out piecemeal process, the image after piecemeal is converted to texture image.
The embodiment of the present invention is by carrying out piecemeal process to pending image, and filter process is carried out to block image, finally again the block image after process is spliced, form the image after filter process, not only increase the processing speed of image, but also achieve filter process is carried out to large-sized former figure, thus ensure that the picture after process and former figure's is identical in quality.
Processor 101 also for calling the image procossing application program in memory 102, to perform following operation:
By in described block image successively tablet pattern processor;
Graphic process unit carries out filter process to described block image, exports the block image after filter; Wherein, while described graphic process unit exports block image, by described block image tablet pattern processor.
In the embodiment of the present invention, by controlling the block image quantity in graphic process unit, at the end of the process of graphic process unit filter, by in next block image tablet pattern processor while block image after exporting filter, thus ensure that in internal memory to only have a block image all the time, avoid the number of times of Memory recycle, accelerate processing speed.
Processor 101 also for calling the image procossing application program in memory 102, to perform following operation:
After pending image is decoded, also convergent-divergent process is carried out to described decoded image;
Filter process is carried out to the image after convergent-divergent process, obtains the second image;
Show described second image by display screen 106, and this second image is when the first image obtains, and is replaced by the first image.
The foregoing is only the preferred embodiments of the present invention; not thereby its scope of the claims is limited; every utilize specification of the present invention and accompanying drawing content to do equivalent structure or equivalent flow process conversion; directly or indirectly be used in the technical field that other are relevant, be all in like manner included in scope of patent protection of the present invention.
Claims (10)
1. an image processing method, is characterized in that, comprises the following steps:
Obtain pending image;
Described pending image is decoded, obtains decoded image;
Described decoded image is carried out piecemeal process;
Successively filter process is carried out to all block images, obtain the block image after filter;
Described block image is spliced, and spliced image is encoded, obtain the first image.
2. image processing method according to claim 1, is characterized in that, describedly decoded image is carried out piecemeal process and describedly carries out filter process to all block images successively, obtains between the block image after filter and also comprises:
Image after piecemeal is converted to texture image.
3. image processing method according to claim 1, is characterized in that, describedly carries out filter process to all block images successively, and the block image obtained after filter comprises:
By in described block image successively tablet pattern processor;
Graphic process unit carries out filter process to described block image, exports the block image after filter;
Wherein, while the block image after described graphic process unit exports described filter, by next block image tablet pattern processor.
4. image processing method according to claim 1, is characterized in that, describedly decodes to pending image, obtains decoded image and comprises: utilize the JPEG storehouse pre-set, decode to described pending figure; Or use the native mode of linux to decode to described pending image.
5. the image processing method according to any one of claim 1-4, is characterized in that, also comprises before described acquisition first image:
Convergent-divergent process is carried out to described decoded image;
Filter process is carried out to the image after convergent-divergent process, obtains the second image;
Show described second image, described second image, when acquisition the first image, is replaced by described first image.
6. an image processing apparatus, is characterized in that, comprising:
Image collection module, for obtaining pending image;
Image decoder module, for decoding to described pending image, obtains decoded image;
Image block module, for carrying out piecemeal process by described decoded image;
Filter processing module, for carrying out filter process to all block images successively, obtains the block image after filter;
Image synthesis unit, for being spliced by described block image, and encoding to spliced image, obtaining the first image.
7. image processing apparatus according to claim 6, is characterized in that, also comprises image texture module, for the image after piecemeal is converted to texture image.
8. image processing apparatus according to claim 6, is characterized in that, described filter processing module also for:
By in described block image successively tablet pattern processor;
Graphic process unit carries out filter process to described block image, exports the block image after filter;
Wherein, while the block image after described graphic process unit exports described filter, by next block image tablet pattern processor.
9. image processing apparatus according to claim 6, is characterized in that, described image decoder module also for: utilize the JPEG storehouse that pre-sets, described pending figure decoded; Or use the native mode of linux to decode to described pending image.
10. the image processing apparatus according to any one of claim 6-9, is characterized in that, also comprises image scaling module and display module, wherein:
Described image scaling module was used for before acquisition first image, carried out convergent-divergent process to described decoded image;
Described filter processing module also for: filter process is carried out to the image after convergent-divergent process, obtains the second image;
Described display module also for: show described second image, described second image, when acquisition the first image, is replaced by the first image.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410096366.3A CN104918044B (en) | 2014-03-14 | 2014-03-14 | Image processing method and device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410096366.3A CN104918044B (en) | 2014-03-14 | 2014-03-14 | Image processing method and device |
Publications (2)
Publication Number | Publication Date |
---|---|
CN104918044A true CN104918044A (en) | 2015-09-16 |
CN104918044B CN104918044B (en) | 2019-05-17 |
Family
ID=54086695
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201410096366.3A Active CN104918044B (en) | 2014-03-14 | 2014-03-14 | Image processing method and device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104918044B (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105245881A (en) * | 2015-09-28 | 2016-01-13 | 杭州九言科技股份有限公司 | Method and device for processing digital image filter |
CN106780295A (en) * | 2016-11-28 | 2017-05-31 | 努比亚技术有限公司 | Image processing method and device |
CN107506599A (en) * | 2017-09-01 | 2017-12-22 | 上海极清慧视科技有限公司 | The extremely clear lossless IVD filming images and processing method of a kind of high in the clouds inline diagnosis |
WO2021169230A1 (en) * | 2020-02-28 | 2021-09-02 | 上海商汤智能科技有限公司 | Method and apparatus for displaying pathological section image, and electronic device and storage medium |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101316364A (en) * | 2008-07-15 | 2008-12-03 | 南京信息工程大学 | Image compression system |
US20120081578A1 (en) * | 2010-09-30 | 2012-04-05 | Apple Inc. | Image signal processor line buffer configuration for processing raw image data |
US20120133826A1 (en) * | 2010-11-30 | 2012-05-31 | Yukie Takahashi | Image Processor and Image Processing Method |
CN103188419A (en) * | 2011-12-31 | 2013-07-03 | 北大方正集团有限公司 | Image compression method and image compression device |
CN103377463A (en) * | 2012-04-25 | 2013-10-30 | 腾讯科技(深圳)有限公司 | Method and device for filter processing |
CN103595898A (en) * | 2013-11-12 | 2014-02-19 | 厦门美图网科技有限公司 | Intelligent filter processing method based on image information |
-
2014
- 2014-03-14 CN CN201410096366.3A patent/CN104918044B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101316364A (en) * | 2008-07-15 | 2008-12-03 | 南京信息工程大学 | Image compression system |
US20120081578A1 (en) * | 2010-09-30 | 2012-04-05 | Apple Inc. | Image signal processor line buffer configuration for processing raw image data |
US20120133826A1 (en) * | 2010-11-30 | 2012-05-31 | Yukie Takahashi | Image Processor and Image Processing Method |
CN103188419A (en) * | 2011-12-31 | 2013-07-03 | 北大方正集团有限公司 | Image compression method and image compression device |
CN103377463A (en) * | 2012-04-25 | 2013-10-30 | 腾讯科技(深圳)有限公司 | Method and device for filter processing |
CN103595898A (en) * | 2013-11-12 | 2014-02-19 | 厦门美图网科技有限公司 | Intelligent filter processing method based on image information |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105245881A (en) * | 2015-09-28 | 2016-01-13 | 杭州九言科技股份有限公司 | Method and device for processing digital image filter |
CN105245881B (en) * | 2015-09-28 | 2019-04-19 | 杭州九言科技股份有限公司 | A kind of method and apparatus of digital picture filter processing |
CN106780295A (en) * | 2016-11-28 | 2017-05-31 | 努比亚技术有限公司 | Image processing method and device |
CN106780295B (en) * | 2016-11-28 | 2020-12-18 | 努比亚技术有限公司 | Picture processing method and device |
CN107506599A (en) * | 2017-09-01 | 2017-12-22 | 上海极清慧视科技有限公司 | The extremely clear lossless IVD filming images and processing method of a kind of high in the clouds inline diagnosis |
WO2021169230A1 (en) * | 2020-02-28 | 2021-09-02 | 上海商汤智能科技有限公司 | Method and apparatus for displaying pathological section image, and electronic device and storage medium |
Also Published As
Publication number | Publication date |
---|---|
CN104918044B (en) | 2019-05-17 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110310229B (en) | Image processing method, image processing apparatus, terminal device, and readable storage medium | |
CN108509272B (en) | Method and device for copying GPU (graphics processing Unit) video memory texture to system memory and electronic equipment | |
CN103888840B (en) | A kind of video mobile terminal Real Time Dragging and the method and device for scaling | |
CN103927095A (en) | Method and device for achieving screen video recording | |
CN110750664B (en) | Picture display method and device | |
CN104918044A (en) | Image processing method and device | |
CN106657757B (en) | Image preview method and device for camera application and camera application system | |
CN112770059B (en) | Photographing method and device and electronic equipment | |
US20230020022A1 (en) | Method of recognizing text, device, storage medium and smart dictionary pen | |
US20170322680A1 (en) | Method and apparatus for setting background of ui control, and terminal | |
CN103034729A (en) | Webpage drawing system and webpage drawing method | |
CN100336381C (en) | Method for capturing of real-time image | |
CN112291475B (en) | Photographing method and device and electronic equipment | |
CN112351093A (en) | Screenshot image sharing method, device and equipment and computer readable storage medium | |
CN110555334A (en) | face feature determination method and device, storage medium and electronic equipment | |
CN113126862A (en) | Screen capture method and device, electronic equipment and readable storage medium | |
CN113014804A (en) | Image processing method, image processing device, electronic equipment and readable storage medium | |
CN110049347B (en) | Method, system, terminal and device for configuring images on live interface | |
CN112565603B (en) | Image processing method and device and electronic equipment | |
CN118096492A (en) | Image processing method, device, electronic equipment and computer readable storage medium | |
CN114501141A (en) | Video data processing method, device, equipment and medium | |
CN108243355B (en) | Set top box user interface loading method and system | |
CN103795928A (en) | Method and system for processing pictures with original data format | |
CN107197182B (en) | Method and device for displaying screen menu on television and television | |
US11706463B2 (en) | Video synthesis method, apparatus, computer device and readable storage medium |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |