CN110378840A - Image processing method and device - Google Patents
Image processing method and device Download PDFInfo
- Publication number
- CN110378840A CN110378840A CN201910667398.7A CN201910667398A CN110378840A CN 110378840 A CN110378840 A CN 110378840A CN 201910667398 A CN201910667398 A CN 201910667398A CN 110378840 A CN110378840 A CN 110378840A
- Authority
- CN
- China
- Prior art keywords
- score
- image
- ocular
- target person
- benchmark image
- 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.)
- Pending
Links
- 238000003672 processing method Methods 0.000 title claims abstract description 17
- 238000012545 processing Methods 0.000 claims abstract description 52
- 210000001508 eye Anatomy 0.000 claims abstract description 49
- 230000000875 corresponding effect Effects 0.000 claims abstract description 17
- 230000002596 correlated effect Effects 0.000 claims abstract description 9
- 238000000034 method Methods 0.000 claims description 14
- 210000005252 bulbus oculi Anatomy 0.000 claims description 8
- 230000000694 effects Effects 0.000 abstract description 6
- 238000003384 imaging method Methods 0.000 abstract description 6
- 230000006870 function Effects 0.000 description 9
- 238000010586 diagram Methods 0.000 description 8
- 238000004422 calculation algorithm Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000004590 computer program Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000009394 selective breeding Methods 0.000 description 1
- 230000001953 sensory effect Effects 0.000 description 1
Classifications
-
- G06T3/04—
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
- G06V40/19—Sensors therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
- G06V40/197—Matching; Classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
Abstract
The application provides a kind of image processing method and device, is applied to field of image processing.A benchmark image is chosen from multiple images, and determines the target person in the benchmark image.The score for obtaining target person ocular in multiple described images, determines the ocular of top score, wherein the score and the opening degree of ocular eyes are positively correlated.The ocular of target person in the benchmark image is replaced with into the corresponding ocular of the top score.In this way, being replaced by the ocular for choosing the target person top score to the ocular of the target person in benchmark image, so that optimal imaging effect is presented in the ocular of target person in the benchmark image.
Description
Technical field
This application involves field of image processings, in particular to a kind of image processing method and device.
Background technique
During more people's group photos, everybody can usually encounter such case, press shutter in a flash in shooting personnel, often
Personal movement disunity causes in the photo shot the somebody eyeball somebody that keeps one's eyes open to closed eyes.As the number of group photo increases
Add, this phenomenon can seem more obvious.
In order to avoid such case, currently used way is to be continuously shot multiple images, then passes through corresponding algorithm
Optimized image therein is chosen from multiple images to retain.However the optimized image chosen in which does not ensure that often
It is a all in eyes-open state.
Another mode is exactly, and by image processing softwares such as Photoshop, the eye areas opened is synthesized to figure
As in corresponding eye closing region.Which is cumbersome, and not smart enough.
Summary of the invention
In order to overcome at least one deficiency in the prior art, the first purpose of the application is to provide a kind of image procossing
Method is applied to data processing equipment, which comprises
Determine an image as benchmark image in multiple images；
Target person is determined from the benchmark image, wherein at least two images in multiple described images include
The target person；
Obtain score of the ocular of the target person in every described image, the score and the eye area
The opening degree in domain is positively correlated；
The top score in the score is obtained, the ocular of the target person in the benchmark image is replaced with into institute
State the corresponding ocular of top score.
Optionally, described to determine an image in multiple images as the step of benchmark image and include:
Ownership goal selection operation is responded, determines the benchmark image from multiple described images.
Optionally, the step of score of the ocular for obtaining the target person in every described image is wrapped
It includes:
Obtain width and height of the eyes of the ocular of the target person in every described image；
According to the width and height, the score is obtained by default standards of grading.
Optionally, the default standards of grading further include the brightness of eyes in the ocular.
Optionally, the target person is one of multiple shooting personnel, multiple described images are the multiple shooting personnel
Multiple continuously shot images, it is described to determine an image in multiple images as the step of benchmark image and include:
The total score of every shooting image is obtained, the total score is the multiple shooting in every shooting image
The sum of score of ocular of personnel；
The highest point total in the total score is obtained, using the corresponding shooting image of the highest point total as the reference map
Picture.
Optionally, the target person is that target shoots personnel, described to determine target person from the benchmark image
The step of include:
The target shooting personnel are successively determined from the multiple shooting personnel.
Optionally, the data processing equipment is configured with score record sheet, and the score record sheet record has each described
The step of scoring event of shooting personnel's eyes, the top score obtained in the score includes:
The top score that the target shoots the ocular of personnel is obtained by the score record sheet.
Optionally, the scoring event is the corresponding affiliated image of ocular of each shooting personnel top score
And the position in affiliated image.
Optionally, the method also includes:
According to the score of the ocular of the target person in the benchmark image, the target in the benchmark image is judged
Eye state in the ocular of personnel；
If the eye state is that one eye eyeball is eye opening, in addition one eye eyeball is to close one's eyes, then not to the benchmark image
In the eye closing of ocular of the target person be replaced.
The another object of the embodiment of the present application is to provide a kind of image processing apparatus, applied to data processing equipment, institute
Stating image processing apparatus includes benchmark image determining module, target person determining module, score acquisition module and replacement module；
The benchmark image determining module in multiple images for determining an image as benchmark image；
The target person determining module is for determining target person from the benchmark image, wherein it is described multiple
At least two images in image include the target person；
The score obtains module and is used to obtain score of the ocular of the target person in every described image,
The score and the opening degree of the ocular are positively correlated；
The replacement module is used to obtain the top score in the score, by the target person in the benchmark image
Ocular replaces with the corresponding ocular of the top score.
In terms of existing technologies, the application has the advantages that
The embodiment of the present application provides a kind of image processing method and device, is applied to field of image processing.From multiple images
One benchmark image of middle selection, and determine the target person in the benchmark image.The target person is obtained in multiple described figures
The score of ocular, determines top score therein as in, wherein the opening degree of the score and ocular eyes at
It is positively correlated.The ocular of target person in the benchmark image is replaced with into the corresponding ocular of the top score.In this way, logical
It crosses and chooses the ocular of the target person top score ocular of the target person in benchmark image is replaced, make
Optimal imaging effect is presented in the ocular for obtaining target person in the benchmark image.
Detailed description of the invention
Technical solution in ord to more clearly illustrate embodiments of the present application, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only some embodiments of the application, therefore is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 is the structural schematic diagram of data processing equipment provided by the embodiments of the present application；
Fig. 2 is the step flow chart of image processing method provided by the embodiments of the present application；
Fig. 3 is ocular standards of grading schematic diagram provided by the embodiments of the present application；
Fig. 4 is the structural schematic diagram of data processing equipment provided by the embodiments of the present application.
Icon: 100- data processing equipment；120- memory；110- image processing apparatus；130- processor；1101- base
Quasi- image determining module；1102- target person determining module；1103- score obtains module；1104- replacement module.
Specific embodiment
To keep the purposes, technical schemes and advantages of the embodiment of the present application clearer, below in conjunction with the embodiment of the present application
In attached drawing, the technical scheme in the embodiment of the application is clearly and completely described, it is clear that described embodiment is
Some embodiments of the present application, instead of all the embodiments.The application being usually described and illustrated herein in the accompanying drawings is implemented
The component of example can be arranged and be designed with a variety of different configurations.
Therefore, the detailed description of the embodiments herein provided in the accompanying drawings is not intended to limit below claimed
Scope of the present application, but be merely representative of the selected embodiment of the application.Based on the embodiment in the application, this field is common
Technical staff's every other embodiment obtained without creative efforts belongs to the model of the application protection
It encloses.
It should also be noted that similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined in a attached drawing, does not then need that it is further defined and explained in subsequent attached drawing.
Fig. 1 is please referred to, Fig. 1 provides the hardware structure diagram of institute's data processing equipment 100 for the embodiment of the present application.The data
Processing equipment 100 includes image processing apparatus 110, memory 120 and processor 130.
The memory 120 and processor 130 and other each elements are directly or indirectly electrically connected between each other, with
Realize the transmission or interaction of data.For example, these elements between each other can be real by one or more communication bus or signal wire
Now it is electrically connected.Described image processing unit 110 includes that at least one can be stored in the form of software or firmware (firmware)
In the memory 120 or it is solidificated in the operating system (operating system, OS) of the data processing equipment 100
Software function module.The processor 130 is used to execute the executable module stored in the memory 120, such as described
Software function module included by image processing apparatus 110 and computer program etc..
Referring to figure 2., Fig. 2 is the step flow chart applied to image processing method shown in FIG. 1, below will be to the side
Method includes that each step is described in detail.
Step S100 determines an image as benchmark image in multiple images.
Step S200 determines target person from the benchmark image, wherein at least two in multiple described images
Image includes the target person.
Step S300, obtains score of the ocular of the target person in every described image, the score with
The opening degree of the ocular is positively correlated.
In a kind of possible embodiment, which obtains by network or by local storage medium
Multiple images.The data processing equipment 100 responds the image selection operation of user, determines the benchmark from multiple described images
Image.
The data processing equipment 100 responds the Object selection operation of user, and mesh is determined from the benchmark image
Mark personnel, wherein at least two images include the target person in multiple described images.
For example, the data processing equipment 100 provides a display interface, which can in a kind of possible example
To be, but it is not limited to touch screen.The data processing equipment 100 shows the benchmark image in the display interface, responds user at this
Object selection operation in display interface, according to the chosen position in the display interface of user, determines the target person.
The data processing equipment 100 obtains the score of target person ocular in the benchmark image, and obtaining should
The characteristic information of target person；By the characteristic information of the target person, determined from other images comprising the target person
Image, and the score for obtaining ocular of the target person in other images and the target person are in the reference map
The score of ocular as in.
In alternatively possible embodiment, the target person be target shoot personnel, be multiple shooting personnel it
One, multiple described images are multiple continuously shot images of multiple shooting personnel.The figure of the data processing equipment 100 response user
As selection operation, the benchmark image is determined from multiple described images.The data processing equipment 100 responds the target choosing of user
Extract operation determines target person from the benchmark image.
For example, the data processing equipment 100 provides a display interface, which can in a kind of possible example
To be, but it is not limited to touch screen.The data processing equipment 100 shows the benchmark image in the display interface, responds user at this
Object selection operation in display interface determines that target shoots people according to the chosen position in the display interface of user
Member.
The data processing equipment 100 obtains the score of target shooting personnel's ocular in the benchmark image, and obtains
Take the characteristic information of target shooting personnel；The characteristic information that personnel are shot by the target, determines to wrap from other images
The image of the shooting personnel containing the target, and the score of ocular of the target shooting personnel in other images is obtained, and
The score of Mu Bai personnel ocular in the benchmark image.
In this way, personnel are shot by the artificial selection benchmark image of user and target, so that user's examining based on itself
U.S. angle chooses the target shooting personnel for needing to replace eyes, and obtained image is more in line with the aesthetic imaging effect of user.And
And participate in choosing benchmark image and target shooting personnel by user, reduce the operand of data processing equipment 100.
In alternatively possible embodiment, the target person be target shoot personnel, be multiple shooting personnel it
One, multiple described images are multiple continuously shot images of the multiple shooting personnel.
The data processing equipment 100 obtains the total score of every shooting image, wherein the total score is every described image
Described in multiple shooting personnel oculars the sum of score.The highest that the data processing equipment 100 obtains in the total score is total
Point, using the corresponding image of the highest point total as benchmark image, successively it regard the shooting personnel in the benchmark image as mesh
Mark shooting personnel.
In this way, reducing the subsequent target for needing to replace eyes by choosing the highest image of total score as benchmark image
Personnel, and then reduce the calculation amount of data processing equipment 100, improve processing speed.
Step S300 obtains the top score in the score, by the eye area of the target person in the benchmark image
Domain replaces with the corresponding ocular of the top score.
In a kind of possible embodiment, which obtains the characteristic information of the target person, passes through
The characteristic information of the target person identifies the target person in other images, and obtain the target person in other images and
The score of ocular in the benchmark image；Obtain the top score in the score.
The data processing equipment 100 intercepts the corresponding ocular of the top score, to replace the benchmark image
In the target person ocular.Wherein, the alternative may be, but not limited to, graph cut algorithm.
In alternatively possible embodiment, it is one of multiple shooting personnel which, which is that target shoots personnel,
Multiple described images are multiple continuously shot images of the multiple shooting personnel.The data processing equipment 100 is configured with score
Record sheet.During choosing the shooting image of highest point total as benchmark image, by the ocular of each shooting personnel
Scoring event in every shooting image is recorded in the score record sheet.
In a kind of possible embodiment, the scoring event is the ocular of each shooting personnel described in every
Shoot the score in image and the location information in every described image.
In alternatively possible embodiment, the scoring event is the ocular of each shooting personnel top score
Affiliated image and the location information in affiliated image.
The data processing equipment 100 searches the score record sheet, obtains the eye area of target shooting personnel's top score
The affiliated image in domain and the position in affiliated image.In this way, the data processing equipment 100 is avoided to search target shooting people
When the ocular of member's top score, score of the target shooting personnel in every described image is statisticallyd analyze again, is reduced
The operand of the data processing equipment 100.
Affiliated image of the data processing equipment 100 according to the ocular of top score and the position in affiliated image
It sets, intercepts the ocular of target shooting personnel's top score, shoot personnel to replace the target in the benchmark image
Ocular.Wherein, the alternative may be, but not limited to, graph cut algorithm.
In this way, the ocular of the target person in the target image is replaced by the ocular of top score, so that
The benchmark image reaches optimal imaging effect.
Referring to figure 3., in a kind of possible embodiment, which obtains the target person eye
The height and width of the eyes in region, calculate the ratio of the height and width；Based on preset standards of grading, according to the ratio
Value obtains the eyes score of the target person ocular.Wherein, the bigger score of the ratio is higher.
In alternatively possible embodiment, the sensory experience of eyes depends not only on the opening degree of eyes, also with
The brightness of eyes is related.The data processing equipment 100 is by the opening degree of ocular eyes and ocular eyes
Standards of grading of the brightness together as the imaging effect superiority and inferiority for measuring eyes.Wherein, for the brightness, the data processing
Equipment 100 obtains the sum of the image gradient of ocular eyes, and the sum of the gradient is smaller, then illustrates that the brightness of eyes is lower.
Optionally, the data processing equipment 100 is according to the score of the ocular of the target person in the benchmark image,
Judge the eye state in the benchmark image in the ocular of the target person.
If in the score of the ocular, wherein the score of the ocular of one eye eyeball is lower than default score threshold,
It is eye opening that then the eye state, which is one eye eyeball, and in addition one eye eyeball is to close one's eyes.The data processing equipment 100 retains the eyes
State is not replaced the eye closing of the ocular of the target person in the benchmark image.
In this way, avoiding special expression when judging target person photograph by accident, user experience is improved.
Referring to figure 4., the embodiment of the present application also provides a kind of image processing apparatus 110, which includes
At least one functional module that can be stored in a storage medium in a software form.Functionally divide the image processing apparatus
110 include benchmark image determining module 1101, target person determining module 1102, score acquisition module 1103 and replacement module
1104。
The benchmark image determining module 1101 in multiple images for determining an image as benchmark image.
In the present embodiment, which is used to execute the step S100 in Fig. 2, about the benchmark
The detailed description of image determining module 1101 can refer to the detailed description of step S100.
The target person determining module 1102 is for determining target person from the benchmark image, wherein described more
At least two images opened in image include the target person.
In the present embodiment, which is used to execute the step S200 in Fig. 2, about the target
The detailed description of personnel's determining module 1102 can refer to the detailed description of step S200.
The score obtains module 1103 and is used to obtain the ocular of the target person obtaining in every described image
Point, the score and the opening degree of the ocular are positively correlated.
In the present embodiment, which obtains module 1103 and is used to execute the step S300 in Fig. 2, obtains about the score
The detailed description of module 1103 can refer to the detailed description of step S300.
The replacement module 1104 is used to obtain the top score in the score, by the target person in the benchmark image
Ocular replace with the corresponding ocular of the top score.
In the present embodiment, which is used to execute the step S300 in Fig. 2, about the replacement module 1104
Detailed description can refer to step S300 detailed description.
In conclusion the embodiment of the present application provides a kind of image processing method and device, it is applied to field of image processing.From
A benchmark image is chosen in multiple images, and determines the target person in the benchmark image.The target person is obtained in institute
The score for stating ocular in multiple images determines top score therein, wherein of the score and ocular eyes
The degree of opening is positively correlated.The ocular of target person in the benchmark image is replaced with into the corresponding eye area of the top score
Domain.In this way, passing through the ocular for choosing the ocular of the target person top score to the target person in benchmark image
It is replaced, so that optimal imaging effect is presented in the ocular of target person in the benchmark image.
In embodiment provided herein, it should be understood that disclosed device and method, it can also be by other
Mode realize.The apparatus embodiments described above are merely exemplary, for example, the flow chart and block diagram in attached drawing are shown
According to device, the architectural framework in the cards of method and computer program product, function of multiple embodiments of the application
And operation.In this regard, each box in flowchart or block diagram can represent one of a module, section or code
Point, a part of the module, section or code includes one or more for implementing the specified logical function executable
Instruction.It should also be noted that function marked in the box can also be attached to be different from some implementations as replacement
The sequence marked in figure occurs.For example, two continuous boxes can actually be basically executed in parallel, they sometimes may be used
To execute in the opposite order, this depends on the function involved.It is also noted that each of block diagram and or flow chart
The combination of box in box and block diagram and or flow chart can be based on the defined function of execution or the dedicated of movement
The system of hardware is realized, or can be realized using a combination of dedicated hardware and computer instructions.
In addition, each functional module in each embodiment of the application can integrate one independent portion of formation together
Point, it is also possible to modules individualism, an independent part can also be integrated to form with two or more modules.
It, can be with if the function is realized and when sold or used as an independent product in the form of software function module
It is stored in a computer readable storage medium.Based on this understanding, the technical solution of the application is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, server or network equipment etc.) execute each embodiment the method for the application all or part of the steps.
And storage medium above-mentioned includes: that USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
The various media that can store program code such as reservoir (RAM, Random Access Memory), magnetic or disk.
It should be noted that, in this document, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to
Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those
Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or equipment
Intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that
There is also other identical elements in process, method, article or equipment including the element.
The above, the only various embodiments of the application, but the protection scope of the application is not limited thereto, it is any
Those familiar with the art within the technical scope of the present application, can easily think of the change or the replacement, and should all contain
Lid is within the scope of protection of this application.Therefore, the protection scope of the application shall be subject to the protection scope of the claim.
Claims (10)
1. a kind of image processing method, which is characterized in that be applied to data processing equipment, which comprises
Determine an image as benchmark image in multiple images；
Target person is determined from the benchmark image, wherein at least two images in multiple described images include the mesh
Mark personnel；
Obtain score of the ocular of the target person in every described image, the score and the ocular
Opening degree is positively correlated；
Obtain the top score in the score, by the ocular of the target person in the benchmark image replace with it is described most
The corresponding ocular of high score.
2. image processing method according to claim 1, which is characterized in that described to determine a figure in multiple images
As the step of being used as benchmark image includes:
Ownership goal selection operation is responded, determines the benchmark image from multiple described images.
3. image processing method according to claim 1, which is characterized in that the eye area for obtaining the target person
The step of score of the domain in every described image includes:
Obtain width and height of the eyes of the ocular of the target person in every described image；
According to the width and height, the score is obtained by default standards of grading.
4. image processing method according to claim 3, feature exist, the default standards of grading further include the eye
The brightness of eyes in region.
5. image processing method according to claim 1, which is characterized in that the target person be multiple shooting personnel it
One, multiple described images are multiple continuously shot images of the multiple shooting personnel, described to determine one in multiple images
Opening image as the step of benchmark image includes:
The total score of every shooting image is obtained, the total score is the multiple shooting personnel in every shooting image
The sum of the score of ocular；
The highest point total in the total score is obtained, using the corresponding shooting image of the highest point total as the benchmark image.
6. image processing method according to claim 5, special medical treatment are, the target person is that target shoots personnel,
Described the step of determining target person from the benchmark image includes:
The target shooting personnel are successively determined from the multiple shooting personnel.
7. image processing method according to claim 6, which is characterized in that the data processing equipment is remembered configured with score
Table is recorded, the score record sheet record has the scoring event of each shooting personnel eyes, described to obtain in the score
The step of top score includes:
The top score that the target shoots the ocular of personnel is obtained by the score record sheet.
8. image processing method according to claim 7, which is characterized in that the scoring event is each shooting people
Image and the position in affiliated image belonging to the ocular of member's top score is corresponding.
9. image processing method according to claim 1, which is characterized in that the method also includes:
According to the score of the ocular of the target person in the benchmark image, the target person in the benchmark image is judged
Ocular in eye state；
If the eye state is that one eye eyeball is eye opening, in addition one eye eyeball is to close one's eyes, then is not somebody's turn to do in the benchmark image
The eye closing of the ocular of target person is replaced.
10. a kind of image processing apparatus, which is characterized in that be applied to data processing equipment, described image processing unit includes base
Quasi- image determining module, target person determining module, score obtain module and replacement module；
The benchmark image determining module in multiple images for determining an image as benchmark image；
The target person determining module is for determining target person from the benchmark image, wherein multiple described images
In at least two images include the target person；
The score obtains module and is used to obtain score of the ocular of the target person in every described image, described
Score and the opening degree of the ocular are positively correlated；
The replacement module is used to obtain the top score in the score, by the eye of the target person in the benchmark image
Region replaces with the corresponding ocular of the top score.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910667398.7A CN110378840A (en) | 2019-07-23 | 2019-07-23 | Image processing method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910667398.7A CN110378840A (en) | 2019-07-23 | 2019-07-23 | Image processing method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110378840A true CN110378840A (en) | 2019-10-25 |
Family
ID=68255152
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910667398.7A Pending CN110378840A (en) | 2019-07-23 | 2019-07-23 | Image processing method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110378840A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112818147A (en) * | 2021-02-22 | 2021-05-18 | 维沃移动通信有限公司 | Picture processing method, device, equipment and storage medium |
| CN113747057A (en) * | 2021-07-26 | 2021-12-03 | 荣耀终端有限公司 | Image processing method and electronic equipment |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2011128676A (en) * | 2009-12-15 | 2011-06-30 | Seiko Epson Corp | Image processing apparatus, image processing method, and image processing program |
| CN106204435A (en) * | 2016-06-27 | 2016-12-07 | 北京小米移动软件有限公司 | Image processing method and device |
| CN107833197A (en) * | 2017-10-31 | 2018-03-23 | 广东欧珀移动通信有限公司 | Method, apparatus, computer-readable recording medium and the electronic equipment of image procossing |
| CN108521547A (en) * | 2018-04-24 | 2018-09-11 | 京东方科技集团股份有限公司 | Image processing method, device and equipment |
-
2019
- 2019-07-23 CN CN201910667398.7A patent/CN110378840A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2011128676A (en) * | 2009-12-15 | 2011-06-30 | Seiko Epson Corp | Image processing apparatus, image processing method, and image processing program |
| CN106204435A (en) * | 2016-06-27 | 2016-12-07 | 北京小米移动软件有限公司 | Image processing method and device |
| CN107833197A (en) * | 2017-10-31 | 2018-03-23 | 广东欧珀移动通信有限公司 | Method, apparatus, computer-readable recording medium and the electronic equipment of image procossing |
| CN108521547A (en) * | 2018-04-24 | 2018-09-11 | 京东方科技集团股份有限公司 | Image processing method, device and equipment |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112818147A (en) * | 2021-02-22 | 2021-05-18 | 维沃移动通信有限公司 | Picture processing method, device, equipment and storage medium |
| CN113747057A (en) * | 2021-07-26 | 2021-12-03 | 荣耀终端有限公司 | Image processing method and electronic equipment |
| CN113747057B (en) * | 2021-07-26 | 2022-09-30 | 荣耀终端有限公司 | Image processing method, electronic equipment, chip system and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104794462B (en) | A kind of character image processing method and processing device | |
| JP7111632B2 (en) | Image candidate determination device, image candidate determination method, program for controlling image candidate determination device, and recording medium storing the program | |
| TWI327437B (en) | ||
| CN1691740B (en) | Magnified display apparatus and magnified display method | |
| CN102576456B (en) | The luminance digital image of use range information is adjusted | |
| CN107622483A (en) | A kind of image combining method and terminal | |
| US20140321703A1 (en) | Image compositing device and image compositing method | |
| CN103442169B (en) | Handle method and the image capture device of the shoot function of image capture device | |
| CN110378914A (en) | Rendering method and device, system, display equipment based on blinkpunkt information | |
| US9690980B2 (en) | Automatic curation of digital images | |
| US8576234B2 (en) | Simulating animation during slideshow | |
| CN108200351A (en) | Image pickup method, terminal and computer-readable medium | |
| CN109697719A (en) | A kind of image quality measure method, apparatus and computer readable storage medium | |
| CN107426493A (en) | A kind of image pickup method and terminal for blurring background | |
| CN110378840A (en) | Image processing method and device | |
| US20190347832A1 (en) | Makeup simulation device, method, and non-transitory recording medium | |
| JP6956986B1 (en) | Judgment method, judgment device, and judgment program | |
| CN109451240A (en) | Focusing method, device, computer equipment and readable storage medium storing program for executing | |
| CN107426490A (en) | A kind of photographic method and terminal | |
| CN104113687A (en) | Image processing method and electronic equipment | |
| CN110097071A (en) | The recognition methods in the breast lesion region based on spectral clustering in conjunction with K-means and device | |
| CN107155000B (en) | Photographing behavior analysis method and device and mobile terminal | |
| CN109685015B (en) | Image processing method and device, electronic equipment and computer storage medium | |
| CN106875332A (en) | A kind of image processing method and terminal | |
| CN107544660A (en) | A kind of information processing method and electronic equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20191025 |
|
| RJ01 | Rejection of invention patent application after publication |