CN106339476B - A kind of image processing method and system - Google Patents
A kind of image processing method and system Download PDFInfo
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- CN106339476B CN106339476B CN201610766670.3A CN201610766670A CN106339476B CN 106339476 B CN106339476 B CN 106339476B CN 201610766670 A CN201610766670 A CN 201610766670A CN 106339476 B CN106339476 B CN 106339476B
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Abstract
The present invention provides a kind of image processing method and systems, belong to field of image processing, comprising: when getting image capture cycle instruction, acquire image sequence, wherein described image sequence includes: multiple images currently acquired;Multiple images described in acquisition are handled, the maximum image of clarity in multiple collected described images is obtained;The maximum image of the clarity is saved and uploaded onto the server.Include the image sequence of multiple images according to image capture cycle instruction acquisition, and filters out a clearest image from multiple images of acquisition and saved and uploaded;Compared with it can only be acquired the process of image and screening by human intervention in the prior art, it is not necessarily to human intervention, can effectively improve execution efficiency, simplifies step of taking pictures, substantially increases the experience sense of user.
Description
Technical field
The present invention relates to field of image processings, in particular to a kind of image processing method and system.
Background technique
Currently, popularizing with camera, shutterbugs are more and more, and to the simple and direct degree and photo of shooting process
Clarity require it is higher and higher, therefore, simplify photo shooting process and improve photo clarity be at present it is urgently to be resolved
The problem of.
In the related technology, the system running and comparing taken pictures is single, by the way of single acquisition image, every primary figure of acquisition
As can all carry out institute's acquired image being saved in local, by manually selecting photo after taking pictures, it is clear to retain
Photo, delete the lower photo of clarity.
In the actual operation process, if just needed in the case where the multiple adjusting of needs takes pictures and screens clearest image
It is screened again after saving multiple pictures, and saves picture data in shooting process and need the regular hour, saved
It needs to carry out artificial screening one by one to the clarity of photo afterwards, so that the time totally expended of taking pictures is just long, consumption
Take a large amount of time, reduces the experience sense of user.
Summary of the invention
In view of this, the embodiment of the present invention is designed to provide a kind of image processing method and system, it is clear to improve
The efficiency of optical sieving simplifies the process taken pictures, while shortening the time taken pictures, and considerably increases the experience sense of user.
In a first aspect, the embodiment of the invention provides a kind of image processing methods, comprising:
When getting image capture cycle instruction, image sequence is acquired, wherein described image sequence includes: currently to adopt
Multiple images of collection;
Multiple images described in acquisition are handled, the maximum figure of clarity in multiple collected described images is obtained
Picture;
The maximum image of the clarity is saved and uploaded onto the server.
With reference to first aspect, the embodiment of the invention provides the first possible embodiments of first aspect, wherein right
Multiple described images of acquisition are handled, and obtain the maximum image of clarity in multiple collected images, comprising: will acquire
To described image sequence in an image cached;
There are when image to be processed in multiple images described in the described image sequence, this is determined from image to be processed
Handle image;
Whether the similarity of this described processing image of judgement and current cache image is greater than preset similarity threshold;
If it is, when determining that the clarity of this processing image is greater than the clarity of current cache image,
By the current cache image of the image covering to be processed, the image to be processed is cached;
Cache image when multiple image procossings described in described image sequence are completed is determined as multiple described figures
The maximum image of clarity as in;
If it is not, then the caching is schemed when the similarity of last processing image is greater than preset similarity threshold
As being put into image result concentration.
With reference to first aspect, the embodiment of the invention provides second of possible embodiments of first aspect, wherein will
The maximum image of clarity is saved and is uploaded onto the server, comprising:
The maximum image of the clarity is generated into predetermined download formats image;
During the predetermined download formats image of generation is saved in local and is uploaded onto the server.
With reference to first aspect, the embodiment of the invention provides the third possible embodiments of first aspect, wherein will
An image in collected described image sequence is cached, comprising:
Every image in multiple described images is subjected to equal part along the long and wide direction of image respectively, obtains every image
Multiple subgraphs;
The center subgraph for being located at every image center location is determined from multiple subgraphs of every image;
The center subgraph of an image in multiple described images is cached, the cache image is obtained;
The center subgraph of uncached image in multiple described images is determined as image to be processed.
With reference to first aspect, the embodiment of the invention provides the 4th kind of possible embodiments of first aspect, wherein institute
State method, further includes:
By image mosaic or depth of field overlap-add operation, the multiple images in described image result set are handled, are closed
At one or more composograph out, and the maximum composograph of clarity is determined from multiple described composographs.
Second aspect, the embodiment of the invention provides a kind of image processing systems, comprising:
Image capture module, for acquiring image sequence, wherein the figure when getting image capture cycle instruction
As sequence includes: multiple images currently acquired;
Image processing module obtains multiple collected described figures for handling multiple images described in acquisition
The maximum image of clarity as in;
Image saves uploading module, for that will include that the maximum image of the clarity is saved and uploaded onto the server.
In conjunction with second aspect, the embodiment of the invention provides the first possible embodiments of second aspect, wherein institute
Stating image processing module includes:
Image buffer storage unit, for caching an image in collected described image sequence;
Handle image determination unit, in multiple images described in the described image sequence there are when image to be processed,
This processing image is determined from image to be processed;
Whether similarity judging unit, the similarity for judging this processing image and current cache image are big
In preset similarity threshold;
Image capping unit, the judging result for similarity judging unit are then to determine this described processing when being
When the clarity of image is greater than the clarity of current cache image, pass through the current caching of the image covering to be processed
Image caches the image to be processed;
Utmost sharpness image determination unit, institute when for completing multiple image procossings described in described image sequence
Cache image is stated, the maximum image of clarity in multiple described images is determined as;
It is included into result set unit, when the judging result for similarity judging unit is no, then handles image when the last time
Similarity be greater than preset similarity threshold when, by the cache image be put into image result concentrate.
In conjunction with second aspect, the embodiment of the invention provides second of possible embodiments of second aspect, wherein institute
Stating image preservation uploading module includes:
Download formats generation module, for the maximum image of the clarity to be generated predetermined download formats image;
Image saves uploading unit, for the predetermined download formats image generated to be saved in local and is uploaded onto the server
In.
In conjunction with second aspect, the embodiment of the invention provides the third possible embodiments of second aspect, wherein institute
Stating image buffer storage unit includes:
The molecular cells such as image, for by every image in multiple described images respectively along the long and wide direction of image into
Row equal part obtains multiple subgraphs of every image;
Image center location determines subelement, for determining in every image from multiple subgraphs of every image
The center subgraph of heart position;
Center image caches subelement, caches for the center subgraph to an image in multiple described images,
Obtain the cache image;
Image to be processed determines subelement, for the center subgraph of uncached image in multiple described images to be determined as
Image to be processed.
In conjunction with second aspect, the embodiment of the invention provides the 4th kind of possible embodiments of second aspect, wherein institute
State system, further includes:
Perhaps depth of field laminating module is used for by image mosaic or depth of field overlap-add operation, to described image image mosaic
Multiple images in result set are handled, and one or more image is synthesized, and determine the maximum composograph of clarity.
A kind of image processing method provided in an embodiment of the present invention and system include according to image capture cycle instruction acquisition
The image sequence of multiple images, and filter out a clearest image from multiple images of acquisition and saved and uploaded;
Compared with it can only be acquired the process of image and screening by human intervention in the prior art, it is not necessarily to human intervention, Ke Yiyou
Effect improves execution efficiency, simplifies step of taking pictures, substantially increases the experience sense of user.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, 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 shows a kind of flow chart of image processing method provided by the embodiment of the present invention;
Fig. 2 shows a kind of structural schematic diagrams of image processing system provided by the embodiment of the present invention;
In attached drawing 2, parts list represented by the reference numerals are as follows:
20: image capture module, 21: image processing module,
22: image saves uploading module.
Specific embodiment
Below in conjunction with attached drawing in the embodiment of the present invention, technical solution in the embodiment of the present invention carries out clear, complete
Ground description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Usually exist
The component of the embodiment of the present invention described and illustrated in attached drawing can be arranged and be designed with a variety of different configurations herein.Cause
This, is not intended to limit claimed invention to the detailed description of the embodiment of the present invention provided in the accompanying drawings below
Range, but it is merely representative of selected embodiment of the invention.Based on the embodiment of the present invention, those skilled in the art are not doing
Every other embodiment obtained under the premise of creative work out, shall fall within the protection scope of the present invention.
In view of the system running and comparing in the related technology, taken pictures is single, by the way of single acquisition image, every acquisition
Image can all carry out institute's acquired image being saved in local, by manually selecting photo after taking pictures, protect
Clear photograph is stayed, the lower photo of clarity is deleted.In the actual operation process, if needing repeatedly to adjust screening of taking pictures
In the case where clearest image, it is necessary to be screened again after saving multiple pictures, and save number of pictures in shooting process
According to the regular hour is needed, need to carry out artificial screening one by one to the clarity of photo after preservation, so that take pictures
The time totally expended is just long, takes a substantial amount of time, and reduces the experience sense of user.Based on this, the present invention is implemented
Example provides a kind of image processing method and system, is described below by embodiment.
Embodiment 1
The executing subject for the image processing method that the present embodiment proposes is camera installation, is adopted according to image capture cycle instruction
Collection includes the image sequence of multiple images, and filter out from multiple images of acquisition a clearest image save and
It uploads.In order to simplify process of taking pictures, realizes to the automatic screening of clear image, increase the experience sense of user.Referring to Fig. 1, this reality
It applies example and a kind of image processing method is provided, comprising:
Step 102, when getting image capture cycle instruction, image sequence is acquired, wherein the image sequence includes:
Multiple images currently acquired.
In a step 102, when getting image capture cycle instruction, acquisition multiple images started the cycle over form one
A image sequence, convenient for screening to image, while automatically image capture cycle reduces the number of operations of user, can be with
When getting image capture cycle instruction, automatically multiple images are captured, greatly simplify the process taken pictures.Its
In, image capture cycle instruction, refer to user press camera installation take pictures button when the movement that is triggered.
Step 104, multiple images of acquisition are handled, obtains the maximum figure of clarity in multiple collected images
Picture.
Step 104 specifically includes step (1) to step (6):
(1) image in acquired image sequence is cached;
(2) when in multiple images of image sequence there are when image to be processed, from image to be processed
Determine this processing image;
(3) judge whether the similarity of this processing image and current cache image is greater than preset similarity threshold,
If it is thening follow the steps 4,6 are thened follow the steps if not;
(4) when determining that the clarity of this processing image is greater than the clarity of current cache image, by be processed
Image covers current cache image, caches to image to be processed;
(5) cache image when completing multiple image procossings of image sequence is determined as in multiple images clarity most
Big image;
(6) when the similarity of last processing image is greater than preset similarity threshold, cache image is put into image
In result set.
Wherein, step (1) specifically includes following steps (11) to step (14):
(11) every image in multiple images is subjected to equal part along the long and wide direction of image respectively, obtains every image
Multiple subgraphs;
(12) the center subgraph for being located at every image center location is determined from multiple subgraphs of every image;
(13) the center subgraph of an image in multiple images is cached, obtains cache image;
(14) the center subgraph of image uncached in multiple images is determined as image to be processed.
It step 106, will include that the maximum image of clarity is saved and uploaded onto the server.
Step 106 specifically includes step (1) to (2):
(1) the maximum image of clarity is generated into predetermined download formats image;
(2) in the predetermined download formats image of generation being saved in local and is uploaded onto the server.
Wherein, in step 1, scheduled download formats are generated, which includes: bmp, jpg, tiff, gif, pcx, tga,
Exif, fpx, svg, psd, cdr, pcd, dxf, ufo, eps, ai, raw etc..
In step 2, by the predetermined download formats image of generation upload onto the server in include: to be arrived by cable-network transmission
During server neutralization is uploaded onto the server through wireless communication.
In addition to this, this method further include: by image mosaic or depth of field overlap-add operation, in described image result set
Multiple images handled, synthesize one or more composograph, and determine from multiple described composographs it is clear
Spend maximum composograph.
It can be seen from the above embodiments that, by carrying out splicing to the clear picture of multiple in result set or the depth of field is folded
Add, can not only take pictures to plane, but also the image data of available Different Plane, improves the whole of synthesized image
Body stereovision, has better met user demand.
In conclusion a kind of image processing method provided in this embodiment, includes according to image capture cycle instruction acquisition
The image sequence of multiple images, and filter out a clearest image from multiple images of acquisition and saved and uploaded;
Compared with it can only be acquired the process of image and screening by human intervention in the prior art, it is not necessarily to human intervention, Ke Yiyou
Effect improves execution efficiency, simplifies step of taking pictures, substantially increases the experience sense of user.
Image processing method is further described by following example:
The image processing method includes:
Step 1, preposition bit switch is opened, the beginning and end of the preamble bit switch control acquisition circulation on the end HTML;
Step 2, camera starts to sample, the image cache of sampling to the end HTML;
Step 3, the end HTML handles cache image, by image respectively in long and wide direction trisection, determines center portion
Partial image simultaneously caches center image;
Step 4, the center image of caching is committed to the end Servlet;
Step 5, the end Servlet and the end Matlab handle cache image and return to the similarity and sheet of this figure and a upper figure
The clarity of figure;
Step 6, the preset standard value of similarity comparison, preset standard value are shown on the end HTML, and the preset mark
Quasi- value be it is adjustable, with identical ideal situation for 1, general standard value may be set to 0.9;
Step 7, if similarity is less than standard value and a upper similarity value is greater than standard value, camera is switched to by static
Moving condition, then this caching is included into result set;
Step 8, Ruo Bentu and a upper figure similarity are greater than standard value, then carry out clarity comparison;
Step 9, Ruo Bentu clarity is greater than a upper clarity then this image covers buffer area image, on the contrary then do not cover
Lid;
Step 10, it starts again at from step 2 until step 9 completes one cycle, it is slow to can get multiple for so multiple circulation
Deposit image;
Step 11, after cache image meets clarity requirement, preposition bit switch is closed, terminates image capture cycle.
Embodiment 2
Referring to fig. 2, the present embodiment provides image processing systems, comprising:
Image capture module 20, for acquiring image sequence, wherein the figure when getting image capture cycle instruction
As sequence includes: multiple images currently acquired;
Image processing module 21 obtains clear in multiple collected images for handling multiple images of acquisition
The clear maximum image of degree;
Image saves uploading module 22, for that will include that the maximum image of clarity is saved and uploaded onto the server.
Further, image processing module 21 includes:
Image buffer storage unit, for caching an image in acquired image sequence;
Wherein, image buffer storage unit includes:
The molecular cells such as image, for every image in multiple images is long along image respectively and wide direction to carry out etc.
Point, obtain multiple subgraphs of every image;
Image center location determines subelement, for determining in every image from multiple subgraphs of every image
The center subgraph of heart position;
Center image caches subelement, caches, obtains for the center subgraph to an image in multiple images
Cache image;
Image to be processed determines subelement, for being determined as the center subgraph of image uncached in multiple images wait locate
Manage image.
Handle image determination unit, for when in multiple images of image sequence there are when image to be processed, to be processed
This processing image is determined in image;
Similarity judging unit, for judging it is pre- whether the similarity of this processing image and current cache image is greater than
If similarity threshold;
Image capping unit, the judging result for similarity judging unit are then to determine this processing image when being
Clarity be greater than current cache image clarity when, current cache image is covered by image to be processed, treats place
Reason image is cached;
Utmost sharpness image determination unit, cache image when for completing multiple image procossings of image sequence,
It is determined as the maximum image of clarity in multiple images;
It is included into result set unit, when the judging result for similarity judging unit is no, then handles image when the last time
Similarity be greater than preset similarity threshold when, by cache image be put into image result concentrate.
Specifically, image preservation uploading module 22 includes:
Download formats generation module, for the maximum image of clarity to be generated predetermined download formats image;
Image saves uploading unit, for the predetermined download formats image generated to be saved in local and is uploaded onto the server
In.
In addition to this, system further include: perhaps depth of field laminating module is used to pass through image mosaic or scape image mosaic
Deep overlap-add operation, the multiple images concentrated to image result are handled, and synthesize one or more image, and are determined clearly
Spend maximum composograph.
In conclusion a kind of image processing system provided in this embodiment, by the way that image capture module, image procossing is arranged
Module and image save uploading module, and the processing to image capture cycle and image can be filtered out from the multiple pictures of acquisition
A clearest image, is saved and is uploaded;With in the prior art, single image acquisition and sieve are carried out by human intervention
The process of choosing is compared, this method and system effectively raise execution efficiency to the identification of image definition, is simplified and is taken pictures
Step substantially increases the experience sense of user.
The computer program product of image processing method provided by the embodiment of the present invention, including storing program code
Computer readable storage medium, the instruction that program code includes can be used for executing the method in previous methods embodiment, specific real
Now reference can be made to embodiment of the method, details are not described herein.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (6)
1. a kind of image processing method characterized by comprising
When getting image capture cycle instruction, image sequence is acquired, wherein described image sequence includes: currently to acquire
Multiple images;
Multiple images described in acquisition are handled, the maximum image of clarity in multiple collected described images is obtained;
The maximum image of the clarity is saved and uploaded onto the server;
Multiple described images of acquisition are handled, the maximum image of clarity in multiple collected images is obtained, comprising:
An image in collected described image sequence is cached;
There are when image to be processed in multiple images described in the described image sequence, this processing is determined from image to be processed
Image;
Whether the similarity of this described processing image of judgement and current cache image is greater than preset similarity threshold;
If it is, passing through when determining that the clarity of this processing image is greater than the clarity of current cache image
The current cache image of the image covering to be processed, caches the image to be processed;
Cache image when multiple image procossings described in described image sequence are completed is determined as in multiple described images
The maximum image of clarity;
If it is not, then the cache image is put when the similarity of last processing image is greater than preset similarity threshold
Enter image result concentration;
An image in collected described image sequence is cached, comprising:
Every image in multiple described images is subjected to equal part along the long and wide direction of image respectively, obtains the more of every image
A subgraph;
The center subgraph for being located at every image center location is determined from multiple subgraphs of every image;
The center subgraph of an image in multiple described images is cached, the cache image is obtained;
The center subgraph of uncached image in multiple described images is determined as image to be processed.
2. image processing method according to claim 1, which is characterized in that save simultaneously the maximum image of the clarity
It uploads onto the server, comprising:
The maximum image of the clarity is generated into predetermined download formats image;
During the predetermined download formats image of generation is saved in local and is uploaded onto the server.
3. image processing method according to claim 1, which is characterized in that the method, further includes:
By image mosaic or depth of field overlap-add operation, the multiple images in described image result set are handled, are synthesized
One or more composograph, and the maximum composograph of clarity is determined from multiple described composographs.
4. a kind of image processing system characterized by comprising
Image capture module, for acquiring image sequence, wherein described image sequence when getting image capture cycle instruction
Column include: multiple images currently acquired;
Image processing module obtains in multiple collected described images for handling multiple images described in acquisition
The maximum image of clarity;
Image saves uploading module, for that will include that the maximum image of the clarity is saved and uploaded onto the server;
Described image processing module includes:
Image buffer storage unit, for caching an image in collected described image sequence;
Handle image determination unit, in multiple images described in the described image sequence there are when image to be processed, to
It handles and determines this processing image in image;
Similarity judging unit, for judging it is pre- whether the similarity of this described processing image and current cache image is greater than
If similarity threshold;
Image capping unit, the judging result for similarity judging unit are then to determine this described processing image when being
Clarity when being greater than the clarity of current cache image, pass through the current caching figure of the image to be processed covering
Picture caches the image to be processed;
Utmost sharpness image determination unit, it is described slow when for completing multiple image procossings described in described image sequence
Image is deposited, the maximum image of clarity in multiple described images is determined as;
It is included into result set unit, when the judging result for similarity judging unit is no, then when the phase of last processing image
When being greater than preset similarity threshold like degree, the cache image is put into image result and is concentrated;
Described image cache unit includes:
The molecular cells such as image, for every image in multiple described images is long along image respectively and wide direction to carry out etc.
Point, obtain multiple subgraphs of every image;
Image center location determines subelement, is located at every picture centre position for determining from multiple subgraphs of every image
The center subgraph set;
Center image caches subelement, caches, obtains for the center subgraph to an image in multiple described images
The cache image;
Image to be processed determines subelement, for being determined as the center subgraph of uncached image in multiple described images wait locate
Manage image.
5. image processing system according to claim 4, which is characterized in that described image saves uploading module and includes:
Download formats generation module, for the maximum image of the clarity to be generated predetermined download formats image;
Image saves uploading unit, used in the predetermined download formats image generated to be saved in local and upload onto the server.
6. image processing system according to claim 4, which is characterized in that the system, further includes:
Perhaps depth of field laminating module is used for by image mosaic or depth of field overlap-add operation, to described image result image mosaic
The multiple images of concentration are handled, and one or more image is synthesized, and determine the maximum composograph of clarity.
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CN111568240A (en) * | 2020-02-29 | 2020-08-25 | 佛山市云米电器科技有限公司 | Water outlet control method of water dispenser, water dispenser and computer readable storage medium |
CN111556249A (en) * | 2020-05-19 | 2020-08-18 | 青岛海信移动通信技术股份有限公司 | Image processing method based on ink screen, terminal and storage medium |
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