CN104918044B - Image processing method and device - Google Patents
Image processing method and device Download PDFInfo
- Publication number
- CN104918044B CN104918044B CN201410096366.3A CN201410096366A CN104918044B CN 104918044 B CN104918044 B CN 104918044B CN 201410096366 A CN201410096366 A CN 201410096366A CN 104918044 B CN104918044 B CN 104918044B
- Authority
- CN
- China
- Prior art keywords
- image
- block
- processing
- decoded
- filter
- 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.)
- Active
Links
Abstract
The present invention discloses a kind of image processing method, comprising: obtains image to be processed;The image to be processed is decoded, decoded image is obtained;The decoded image is subjected to piecemeal processing;Filter processing successively is carried out to all block images, the block image after obtaining filter;The block image is spliced, and spliced image is encoded, obtains the first image.The invention also discloses a kind of image processing apparatus.The present invention not only increases the processing speed of image, and also achieves and carry out filter processing to large-sized original image, to guarantee the identical in quality of treated picture and original image.
Description
Technical field
The present invention relates to field of image processing more particularly to a kind of image processing methods and device.
Background technique
With the rapid development of intelligent terminals, people can use intelligent terminal and be shot anywhere or anytime, simultaneously also
Various image procossings can be carried out, to obtain different image effects.
The method that two kinds of image procossings exist in the prior art, a kind of method is to reduce dimension of picture, to reduce picture
Resolution ratio, this method are suitable for memory and the limited intelligent terminal of CPU processing capacity, but cause that treated picture is unclear
It is clear.Another kind is not reduce dimension of picture to be handled, but its processing speed is slower, and user can not see processing in time
As a result.
Summary of the invention
The main object of the present invention is to provide a kind of image processing method and device, it is intended to not reduce at dimension of picture
When reason, accelerate the processing speed of image.
The present invention provides a kind of image processing methods, comprising the following steps:
Obtain image to be processed;
The image to be processed is decoded, decoded image is obtained;
The decoded image is subjected to piecemeal processing;
Filter processing successively is carried out to all block images, the block image after obtaining filter;
The block image is spliced, and spliced image is encoded, obtains the first image.
The present invention also provides a kind of image processing apparatus, comprising:
Image collection module, for obtaining image to be processed;
Image decoder module obtains decoded image for being decoded to the image to be processed;
Image block module, for the decoded image to be carried out piecemeal processing;
Filter processing module, for successively carrying out filter processing to all block images, the block diagram after obtaining filter
Picture;
Image synthesis module for splicing the block image, and encodes spliced image, obtains
First image.
The embodiment of the present invention carries out filter processing to block image by carrying out piecemeal processing to image to be processed,
Last to treated, block image splices again, forms filter treated image, not only increase the processing speed of image
Degree, and also achieve and filter processing is carried out to large-sized original image, to guarantee the quality phase of treated picture and original image
Together.
Detailed description of the invention
Fig. 1 is the flow diagram of image processing method first embodiment of the present invention;
Fig. 2 a is the image schematic diagram after being decoded in image processing method of the present invention to image to be processed;
Fig. 2 b is the enlarged drawing schematic diagram in the portion A in Fig. 2 a;
Fig. 3 is the image schematic diagram that decoded image carries out piecemeal processing shown in Fig. 2 a;
Fig. 4 is the flow diagram of image processing method second embodiment of the present invention;
Fig. 5 is the flow diagram that filter processing is carried out in image processing method of the present invention;
Fig. 6 is the flow diagram of image processing method 3rd embodiment of the present invention;
Fig. 7 is the terminal operation schematic diagram that image procossing is carried out using image processing method of the present invention;
Fig. 8 is after being handled using image processing method of the present invention and image processing method in the prior art original image
Comparison result schematic diagram;
Fig. 9 is the functional block diagram of image processing apparatus first embodiment of the present invention;
Figure 10 is the functional block diagram of image processing apparatus second embodiment of the present invention;
Figure 11 is the functional block diagram of image processing apparatus 3rd embodiment of the present invention;
Figure 12 is the structural schematic diagram of terminal applied by image processing apparatus of the present invention.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
Technical solution of the present invention is further illustrated with reference to the accompanying drawings and specific embodiments of the specification.It should be appreciated that this
Locate described specific embodiment to be only used to explain the present invention, be not intended to limit the present invention.
The present invention provides a kind of image processing methods.Referring to Fig.1, the image processing method of the embodiment includes following step
It is rapid:
Step S110, image to be processed is obtained;
In the step, image acquisition is carried out by opening the camera being arranged in terminal, which can be
One image, or multiple images being continuously shot by camera.If multiple images that camera is continuously shot, then
Successively obtain image to be processed.The image to be processed is static images, and file format is " .JPG ", " .JPEG " etc.
Deng.
Step S120, the image to be processed is decoded, obtains decoded image;
The image to be processed is decoded using decoding process corresponding with image file format, and is decoded
Image afterwards.In the present embodiment, using the library jpeg for supporting neon instruction set in terminal, image is decoded, can be improved
Decoding speed.In another embodiment, the native mode of linux can also be used to be decoded the image to be processed,
Since it has got around supervision of the android virtual machine to memory, image is solved to take full advantage of terminal idle memory
Code, avoids memory from overflowing.The decoded image includes the pixel value of each pixel on picture.As shown in Figure 2 a and Fig. 2 b institute
Show.Wherein, Fig. 2 b is the enlarged diagram in the portion A in Fig. 2 a, and S is pixel in Fig. 2 b.
Step S130, the decoded image is subjected to piecemeal processing;
The decoded image is subjected to piecemeal processing, obtains multiple block images.As shown in figure 3, the image is drawn
It is divided into 9 blocks, the pixel with identical quantity in each block image.It is understood that the present invention does not limit this point
The number of block can be arranged as the case may be.
Step S140, filter processing successively is carried out to all block images, the block image after obtaining filter;
The image data for successively taking out piecemeal, and carries out filter processing to it, treated to obtain filter block image.
Filter processing may include the filter of a variety of different-effects, such as black and white, enhancing, Gauss, older picture, pencil drawing etc..Root
Block image is handled one by one according to the different filtering effects of user setting.
Step S150, the block image is spliced, and spliced image is encoded, obtain the first figure
Picture.
After carrying out filter processing to the block image, then treated block image is carried out according to the coordinate value of image
Splicing, and spliced image is encoded, to obtain the first image.The coding mode is corresponding with the decoding process of front.
The embodiment of the present invention carries out filter processing to block image by carrying out piecemeal processing to image to be processed,
Last to treated, block image splices again, forms filter treated image, not only increase the processing speed of image
Degree, and also achieve and filter processing is carried out to large-sized original image, to guarantee the quality phase of treated picture and original image
Together.
Further, further comprising the steps of between above-mentioned steps S130 and step S140 referring to Fig. 4:
Step S160, the image after piecemeal is converted into texture image.
General texture transformation can form line for the texture image pre-set to be attached to the imaging surface after piecemeal
Manage image.In the embodiment of the present invention, the parallel behavior of graphics processor GPU is made full use of, block image is first subjected to line
After reason processing, then by the GLSL language in OPEN GL2.0, Fragment programming is carried out, to each picture in the image after piecemeal
Vegetarian refreshments is handled.And then it can be with speed up processing.
Further, include: referring to Fig. 5, above-mentioned steps S140
Step S141, the block image is sequentially input in graphics processor;
Step S142, graphics processor carries out filter processing to the block image, the block image after exporting filter;Its
In, it, will be in the block image tablet pattern processor while graphics processor exports block image.
In the embodiment of the present invention, through the block image quantity in control graphics processor, at graphics processor filter
At the end of reason, by next block image tablet pattern processor while exporting the block image after filter, to guarantee
Always only one block image in memory, avoids the number of Memory recycle, accelerates processing speed.
Further, referring to Fig. 6, before obtaining the first image further include:
Step S170, processing is zoomed in and out to the decoded image;
The embodiment of the present invention, by zooming in and out to decoded image, and scaling can be 2 power side.Specifically
Ground is sampled pixel all in decoded image according to scaling, to obtain the small image of resolution ratio.Such as
The image that one original image is 4000*3000 is zoomed in and out according to scaling for 2, and will obtain a resolution ratio is 2000*1500's
Image.In view of the speed of subsequent filter processing, the image after scaling can be configured, be, for example, less than 1024*1024's
Image.
Step S180, filter processing is carried out to the image after scaling processing, obtains the second image;
Step S190, show that second image, second image are replaced when obtaining the first image by the first image
It changes.
As shown in fig. 7, by opening the camera S4 in the terminal, certain camera S4 also be can be set in terminal
The back side.Then the control S1 that takes pictures is clicked, corresponding image can be obtained.Control S3 is used to be arranged the various functions setting taken pictures,
Such as the setting of filter, the setting of image size, whether continuous shooting etc..The region S2 in terminal is then used to show image, such as
Second image of above-mentioned acquisition.The S2 when the user clicks, then the image is displayed on the entire display interface of terminal.
It should be noted that after getting image to be processed, two threads will be started from the background, the one one thread
Priority is higher, for handling the image after scaling, obtains the second image;The priority of second thread is lower, for handling
Original image obtains the first image.Since the picture size of first thread process is smaller than the picture size of second thread process,
So the second image will be obtained first.User can view filter faster treated effect.It, should when the first image obtains
First image will replace the second image to save at the terminal.Therefore, the embodiment of the present invention can in the case where user's unaware,
The processing for completing original image, to ensure that the quality of image.In addition, since the treatment process of the second image is generally in 2s, because
This embodiment of the present invention can capture 10 photos for having filter treatment effect, and the figure of the photo of the candid photograph in 11 seconds
Image quality amount can keep the quality of original image.As shown in figure 8, passing through the figure of image procossing in the prior art and the embodiment of the present invention
It compares as treated it is found that the quality of the image procossing of the embodiment of the present invention is higher.
Accordingly, the present invention also provides a kind of image processing apparatus.Referring to Fig. 9, the image processing apparatus of the embodiment
Include:
Image collection module 110, for obtaining image to be processed;
Image decoder module 120 obtains decoded image for being decoded to the image to be processed;Or
The image to be processed is decoded using the native mode of linux;
Image block module 130, for the decoded image to be carried out piecemeal processing;
Filter processing module 140, for successively carrying out filter processing to all block images, the piecemeal after obtaining filter
Image;
Image synthesis module 150 for splicing the block image, and encodes spliced image,
Obtain the first image.
The image collection module 110 carries out image acquisition, the figure to be processed by opening the camera being arranged in terminal
As that can be an image, or multiple images being continuously shot by camera.Then image decoder module 120 uses
Decoding process corresponding with image file format is decoded the image to be processed, and obtains decoded image.Benefit
With the library jpeg for supporting neon instruction set in terminal, image is decoded, decoding speed can be improved.In another embodiment,
The native mode of linux can also be used to be decoded the image to be processed, since to have got around android virtual for it
Supervision of the machine to memory is decoded image to take full advantage of terminal idle memory, memory is avoided to overflow.Image block
The decoded image is then carried out piecemeal processing by module 130, obtains multiple block images.Image filters module 140 is successively
The image data for taking out piecemeal, and carries out filter processing to it, treated to obtain filter block image.To the block diagram
After carrying out filter processing, image synthesis module 150 then splices treated block image according to the coordinate value of image,
And spliced image is encoded, to obtain the first image.The coding mode is corresponding with the decoding process of front.
The embodiment of the present invention carries out filter processing to block image by carrying out piecemeal processing to image to be processed,
Last to treated, block image splices again, forms filter treated image, not only increase the processing speed of image
Degree, and also achieve and filter processing is carried out to large-sized original image, to guarantee the quality phase of treated picture and original image
Together.
Further, referring to Fig.1 0, the image processing apparatus in above-described embodiment further includes image texture module 160, is used
In the image after piecemeal is converted to texture image.General texture transformation can be to be attached to the texture image pre-set
Imaging surface after piecemeal forms texture image.In the embodiment of the present invention, the parallel processing of graphics processor GPU is made full use of
Characteristic after block image is first carried out texture processing, then by the GLSL language in OPEN GL2.0, carries out Fragment volume
Journey handles each pixel in the image after piecemeal.And then it can be with speed up processing.
Further, above-mentioned filter processing module 140 is also used to:
The block image is sequentially input in graphics processor;
Graphics processor carries out filter processing to the block image, the block image after exporting filter;
Wherein, while the graphics processor exports block image, by the block image tablet pattern processor
In.
In the embodiment of the present invention, through the block image quantity in control graphics processor, at graphics processor filter
At the end of reason, by next block image tablet pattern processor while exporting the block image after filter, to guarantee
Always only one block image in memory, avoids the number of Memory recycle, accelerates processing speed.
Further, above-mentioned image decoder module 120 is also used to: the pre-set library JPEG is utilized, to described to be processed
Figure be decoded.
Further, referring to Fig.1 1, the image processing apparatus of above-described embodiment further include: image scaling module 170 and aobvious
Show module 180, in which:
Described image Zoom module 170 is for zooming in and out processing to the decoded image;
The filter processing module 140 is also used to: being carried out filter processing to the image after scaling processing, is obtained the second figure
Picture;
The display module 180 is also used to: display second image.
Above-mentioned image scaling module 170 is for zooming in and out decoded image, and scaling can be 2 power
Side.Then the image after 140 pairs of filter processing module scalings carries out filter processing, obtains the second image.Then second image
It will be shown at the terminal by display module 180, be checked for user.
It should be noted that after getting image to be processed, two threads will be started from the background, the one one thread
Priority is higher, for handling the image after scaling, obtains the second image;The priority of second thread is lower, for handling
Original image obtains the first image.Since the picture size of first thread process is smaller than the picture size of second thread process,
So the second image will be obtained first.User can view filter faster treated effect.It, should when the first image obtains
First image will replace the second image to save at the terminal.Therefore, the embodiment of the present invention can in the case where user's unaware,
The processing for completing original image, to ensure that the quality of image.In addition, since the treatment process of the second image is generally in 2s, because
This embodiment of the present invention can capture 10 photos for having filter treatment effect, and the figure of the photo of the candid photograph in 11 seconds
Image quality amount can keep the quality of original image.As shown in figure 8, passing through the figure of image procossing in the prior art and the embodiment of the present invention
It compares as treated it is found that the quality of the image procossing of the embodiment of the present invention is higher.
Further, above-mentioned image processing apparatus, which can be set, is set up directly in terminal, calls for terminal;It can also set
It sets in the client of terminal, for client call.Referring to Fig.1 2, which includes: processor 101, memory 102, user
Interface 103, network interface 104, camera 105, display screen 106 and communication bus 107.Communication bus 107 is for each in terminal
Communication between building block, user interface 103 are used to receive the information of user's input, which can be wireline interface
And wireless interface, such as keyboard, mouse etc..Network interface 104 is communicated with each other for terminal with outside, the network interface
It may include wireline interface and wireless interface.Memory 102 may include one or more computer readable storage mediums,
And it not only includes internal storage, further includes external memory.Operating system and image procossing are stored in the memory
Application program etc..Processor 101 is used to call the image processing application program in memory 102, to execute following operation:
Image processing commands are received by user interface 103;
Described image process instruction is responded, image to be processed is obtained by camera 105;
The image to be processed is decoded, decoded image is obtained;
The decoded image is subjected to piecemeal processing;
Filter processing successively is carried out to all block images, the block image after obtaining filter;
The block image is spliced, and spliced image is encoded, obtains the first image;
In the memory 102 by the first image storage.
Processor 101 is also used to call the image processing application program in memory 102, to execute following operation:
After the decoded image is carried out piecemeal processing, the image after piecemeal is converted into texture image.
The embodiment of the present invention carries out filter processing to block image by carrying out piecemeal processing to image to be processed,
Last to treated, block image splices again, forms filter treated image, not only increase the processing speed of image
Degree, and also achieve and filter processing is carried out to large-sized original image, to guarantee the quality phase of treated picture and original image
Together.
Processor 101 is also used to call the image processing application program in memory 102, to execute following operation:
The block image is sequentially input in graphics processor;
Graphics processor carries out filter processing to the block image, the block image after exporting filter;Wherein, described
It, will be in the block image tablet pattern processor while graphics processor exports block image.
In the embodiment of the present invention, through the block image quantity in control graphics processor, at graphics processor filter
At the end of reason, by next block image tablet pattern processor while exporting the block image after filter, to guarantee
Always only one block image in memory, avoids the number of Memory recycle, accelerates processing speed.
Processor 101 is also used to call the image processing application program in memory 102, to execute following operation:
After being decoded to image to be processed, processing also is zoomed in and out to the decoded image;
Filter processing is carried out to the image after scaling processing, obtains the second image;
Second image is shown by display screen 106, and second image is when the first image obtains, by the first image
Replacement.
The above description is only a preferred embodiment of the present invention, is not intended to limit its scope of the patents, all to utilize the present invention
Equivalent structure or equivalent flow shift made by specification and accompanying drawing content is directly or indirectly used in other relevant technology necks
Domain is included within the scope of the present invention.
Claims (8)
1. a kind of image processing method, which comprises the following steps:
Obtain image to be processed;
The image to be processed is decoded, decoded image is obtained;
The decoded image is subjected to piecemeal processing;
Filter processing successively is carried out to all block images, the block image after obtaining filter;
Processing is zoomed in and out to the decoded image;
Filter processing is carried out to the image after scaling processing, obtains the second image;
Show second image;
The block image is spliced, and spliced image is encoded, obtains the first image;
When obtaining the first image, second image is replaced using the first image.
2. image processing method according to claim 1, which is characterized in that described to carry out decoded image at piecemeal
Reason successively carries out filter processing to all block images with described, between the block image after obtaining filter further include:
Image after piecemeal is converted into texture image.
3. image processing method according to claim 1, which is characterized in that described successively to be carried out to all block images
Filter processing, the block image after obtaining filter include:
The block image is sequentially input in graphics processor;
Graphics processor carries out filter processing to the block image, the block image after exporting filter;
Wherein, while the block image after the graphics processor exports the filter, next block image is inputted and is schemed
In shape processor.
4. image processing method according to claim 1, which is characterized in that it is described that image to be processed is decoded,
Obtaining decoded image includes: to be decoded using the pre-set library JPEG to the figure to be processed;Or it uses
The native mode of linux is decoded the image to be processed.
5. a kind of image processing apparatus characterized by comprising
Image collection module, for obtaining image to be processed;
Image decoder module obtains decoded image for being decoded to the image to be processed;
Image block module, for the decoded image to be carried out piecemeal processing;
Image scaling module, for zooming in and out processing to the decoded image;
Filter processing module, for successively carrying out filter processing to all block images, the block image after obtaining filter;With
And filter processing is carried out to the image after scaling processing, obtain the second image;
Display module, for showing second image;
Image synthesis module for splicing the block image, and encodes spliced image, obtains first
Image;When obtaining the first image, second image is replaced using the first image.
6. image processing apparatus according to claim 5, which is characterized in that further include image texture module, for that will divide
Image after block is converted to texture image.
7. image processing apparatus according to claim 5, which is characterized in that the filter processing module is also used to:
The block image is sequentially input in graphics processor;
Graphics processor carries out filter processing to the block image, the block image after exporting filter;
Wherein, while the block image after the graphics processor exports the filter, next block image is inputted and is schemed
In shape processor.
8. image processing apparatus according to claim 5, which is characterized in that described image decoder module is also used to: utilizing
The pre-set library JPEG is decoded the figure to be processed;Or using linux native mode to it is described to
The image of processing is decoded.
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 CN104918044A (en) | 2015-09-16 |
CN104918044B true 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) |
Families Citing this family (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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 |
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 |
CN111354444A (en) * | 2020-02-28 | 2020-06-30 | 上海商汤智能科技有限公司 | Pathological section image display method and device, electronic equipment and storage medium |
Citations (4)
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 |
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 |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8508612B2 (en) * | 2010-09-30 | 2013-08-13 | Apple Inc. | Image signal processor line buffer configuration for processing ram image data |
JP4892096B1 (en) * | 2010-11-30 | 2012-03-07 | 株式会社東芝 | Image processing apparatus and image processing method |
-
2014
- 2014-03-14 CN CN201410096366.3A patent/CN104918044B/en active Active
Patent Citations (4)
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 |
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 |
Also Published As
Publication number | Publication date |
---|---|
CN104918044A (en) | 2015-09-16 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107578453B (en) | Compressed image processing method, apparatus, electronic equipment and computer-readable medium | |
CN108596184B (en) | Training method of image semantic segmentation model, readable storage medium and electronic device | |
CN111311520B (en) | Image processing method, device, terminal and storage medium | |
WO2016101883A1 (en) | Method for face beautification in real-time video and electronic equipment | |
CN108509272B (en) | Method and device for copying GPU (graphics processing Unit) video memory texture to system memory and electronic equipment | |
CN104918044B (en) | Image processing method and device | |
CN111669502B (en) | Target object display method and device and electronic equipment | |
CN110750664B (en) | Picture display method and device | |
CN113126862B (en) | Screen capture method and device, electronic equipment and readable storage medium | |
CN109922319A (en) | RTSP agreement multiple video strems Parallel preconditioning method based on multi-core CPU | |
JP7213291B2 (en) | Method and apparatus for generating images | |
CN112422817B (en) | Image processing method and device | |
CN110555334B (en) | Face feature determination method and device, storage medium and electronic equipment | |
WO2022132032A1 (en) | Portrait image processing method and device | |
CN112291475A (en) | Photographing method and device and electronic equipment | |
CN112351093A (en) | Screenshot image sharing method, device and equipment and computer readable storage medium | |
CN113014804A (en) | Image processing method, image processing device, electronic equipment and readable storage medium | |
CN103390260A (en) | Method and device for image processing | |
EP1611739A1 (en) | Method for capturing of real-time image | |
CN108805799B (en) | Panoramic image synthesis apparatus, panoramic image synthesis method, and computer-readable storage medium | |
CN108989704B (en) | Image generation method and device and terminal equipment | |
CN108206913B (en) | Image acquisition method, image acquisition device, embedded system and storage medium | |
CN116596748A (en) | Image stylization processing method, apparatus, device, storage medium, and program product | |
CN111383289A (en) | Image processing method, image processing device, terminal equipment and computer readable storage medium | |
CN113780297B (en) | Image processing method, device, equipment and 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 |