CN105898259B - A kind of adaptive clearness processing method of video pictures and device - Google Patents
A kind of adaptive clearness processing method of video pictures and device Download PDFInfo
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- CN105898259B CN105898259B CN201610227509.9A CN201610227509A CN105898259B CN 105898259 B CN105898259 B CN 105898259B CN 201610227509 A CN201610227509 A CN 201610227509A CN 105898259 B CN105898259 B CN 105898259B
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- 230000003044 adaptive effect Effects 0.000 title claims abstract description 26
- 238000003672 processing method Methods 0.000 title claims abstract description 13
- 238000012545 processing Methods 0.000 claims abstract description 86
- 238000004040 coloring Methods 0.000 claims abstract description 29
- 238000000034 method Methods 0.000 claims description 11
- 238000003860 storage Methods 0.000 claims description 11
- 238000013523 data management Methods 0.000 claims description 6
- 238000010801 machine learning Methods 0.000 claims description 5
- 238000000151 deposition Methods 0.000 claims 1
- 230000007613 environmental effect Effects 0.000 abstract description 6
- 230000007547 defect Effects 0.000 abstract description 4
- 238000005516 engineering process Methods 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012271 agricultural production Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000005352 clarification Methods 0.000 description 1
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- 238000009776 industrial production Methods 0.000 description 1
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
- H04N9/64—Circuits for processing colour signals
- H04N9/646—Circuits for processing colour signals for image enhancement, e.g. vertical detail restoration, cross-colour elimination, contour correction, chrominance trapping filters
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- G06T5/73—
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- 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
- G06T2207/10016—Video; Image sequence
-
- 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
- G06T2207/10024—Color image
-
- 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
- G06T2207/20—Special algorithmic details
- G06T2207/20004—Adaptive image processing
Abstract
The present invention relates to a kind of adaptive clearness processing method of video pictures and devices, including：Obtain the video image currently acquired or pre-stored video image；Video image is divided into colouring information and luminance information；The acquisition scene of video image is estimated according to colouring information and luminance information；According to the acquisition scene of estimation and pre-stored video parameter standard corresponding with scene, sharpening processing is carried out to video image.The embodiment of the present invention provides technical solution, it can be with the shooting environmental of automatic identification video, the environmental informations such as brightness, color, these information are carried out judging whether to be in suitable video parameter standard section by the principle of fuzzy control, it corresponding algorithm for image clearness is automatically selected to video to be treated gives and handle, make video by it is a kind of it is clearer in a manner of preserve or show, the sharpening processing that a variety of different scenes video images can be met solves a kind of existing defect for being only capable of carrying out sharpening processing for scene.
Description
Technical field
The present invention relates to technical field of video processing more particularly to a kind of adaptive clearness processing method of video pictures and
Device.
Background technology
With the fast development of computer network and multimedia technology, the application of video just changes people’s lives, at
Indispensable component part in living for us.The technology of video has a wide range of applications at present, as medical diagnosis, aviation are navigated
It, industrial and agricultural production, meteorology, in the every field such as video monitoring.Video information is used by people to solve the problems, such as reality.
In actual life, since the video that the presence of various factors causes us to obtain tends not to meet practical application
Needs.Such as lead to the low of video quality since video passes through prolonged duplication, transmission, format conversion, display etc..Together
Shi Yinwei illumination conditions influence, and the contrast and color of the video of acquisition scenery in video will degenerate, and reduce resolution, inconvenient
In monitoring and navigation, it is not easy to processing analysis.Especially weather condition is poor, such as under heavy rain, dense fog, dense smoke or night factor,
The night cell of acquisition or the video of expressway monitoring are unintelligible, are unfavorable for video analysis.If it is desired to excavating video letter as possible
Content is ceased, must just carry out sharpening processing to video figure.It is existing to only exist the side that sharpening processing is carried out for a kind of scene
Method, but without a kind of method for the video sharpening processing being all suitable for several scenes.
Invention content
The technical problem to be solved by the present invention is to how carry out sharpening processing to the video image of several scenes..
For this purpose, the present invention proposes a kind of adaptive clearness processing method of video pictures, including：
Obtain the video image currently acquired or pre-stored video image；
The video image is divided into colouring information and luminance information；
The acquisition scene of video image is estimated according to the colouring information and luminance information；
According to the acquisition scene of estimation and pre-stored video parameter standard corresponding with scene, to the video figure
As carrying out sharpening processing.
Preferably, further include after the progress sharpening processing to video image：
It will be shown by the video image of sharpening processing.
Preferably, further include after the progress sharpening processing to video image：
It will be stored by the video image of sharpening processing.
Preferably, this method further includes：
The sharpening processing procedure of video image is stored, the retrieval and inquiry of video image are used for.
Preferably, in the acquisition scene according to estimation and pre-stored video parameter mark corresponding with scene
Standard, to the video image carry out sharpening processing before, further include：
The color and luminance information of different scenes are obtained by machine learning；
According to the colouring information and luminance information of different scenes, the video parameter standard of corresponding scene is determined；
Wherein, the video parameter standard is the threshold range of the threshold range and luminance information of colouring information.
On the other hand, the present invention also provides a kind of adaptive sharpening processing units of video pictures, including：Video acquisition
Module and the video processing module being connect with the video acquiring module；The video processing module includes sequentially connected information
Dividing cell, fuzzy matching unit and sharpening processing unit；
The video acquiring module, for obtaining the video image currently acquired or pre-stored video image；
Described information dividing cell, for the video image to be divided into colouring information and luminance information；
The fuzzy matching unit, the acquisition field for estimating video image according to the colouring information and luminance information
Scape；
The sharpening processing unit, for according to the acquisition scene of estimation and pre-stored corresponding with scene regarding
Frequency parameter and standard carries out sharpening processing to the video image.
Preferably, the video acquiring module includes video acquisition unit and video file storage unit.
Preferably, further include：The video display module being connect with the video processing module, the video display module packet
It includes：Video display unit；
The video display unit, for playing out the video image for passing through sharpening processing.
Preferably, the video display module further includes：Video storage unit；
The video storage unit, for storing the video image for passing through sharpening processing.
Preferably, the video display module further includes：Data Management Unit；The Data Management Unit, for that will regard
The sharpening processing procedure of frequency image is stored, for the retrieval and inquiry of video image.
The adaptive clearness processing method of video pictures provided in an embodiment of the present invention and device, pass through the face of video image
Color information and luminance information, the acquisition scene of video image according to a preliminary estimate, further according to the video parameter of the pre-stored scene
Standard carries out sharpening processing to video, since the present invention can be with the shooting environmental of automatic identification video, brightness, color or sound
The environmental informations such as sound carry out judging whether to be in suitable video parameter standard regions by the principle of fuzzy control to these information
Between, corresponding algorithm for image clearness automatically selected to video to be treated give and handle, make video by it is a kind of it is clearer in a manner of
It preserves or shows.Therefore technical solution provided in an embodiment of the present invention can meet the clear of a variety of different scenes video images
Change is handled, and is solved the existing defect that can only be directed to a kind of progress sharpening processing of video image, can be met people to video
The demand of sharpening processing.
Description of the drawings
The features and advantages of the present invention can be more clearly understood by reference to attached drawing, attached drawing is schematically without that should manage
Solution is carries out any restrictions to the present invention, in the accompanying drawings：
Fig. 1 is the flow diagram of the adaptive clearness processing method of video pictures provided in an embodiment of the present invention；
Fig. 2 is the frame diagram of the adaptive sharpening processing unit of video pictures provided in an embodiment of the present invention；
Fig. 3 is the block schematic illustration for the adaptive sharpening processing unit of video pictures that further embodiment of this invention provides；
Fig. 4 is the block schematic illustration for the adaptive sharpening processing unit of video pictures that further embodiment of this invention provides.
Specific implementation mode
Below in conjunction with attached drawing, embodiments of the present invention is described in detail.
As shown in Figure 1, an embodiment of the present invention provides a kind of adaptive clearness processing methods of video pictures, including：
S1：Obtain the video image currently acquired or pre-stored video image；
Specifically, the video image that can acquire current scene by camera carries out subsequent processing, or from local
Pre-stored video image is obtained in database.
S2：The video image is divided into colouring information and luminance information；
Specifically, carrying out shunting processing by the video image currently acquired or from the original document locally obtained, will regard
Frequency file is divided into color stream and luminance stream.
S3：The acquisition scene of video image is estimated according to the colouring information and luminance information；
Above-mentioned video flowing and luminance stream are analyzed, specifically, can be according to pre-stored face corresponding with scene
The threshold range of color information and luminance information, the acquisition scene of the video image currently obtained according to a preliminary estimate.
S4：According to the acquisition scene of estimation and pre-stored video parameter standard corresponding with scene, regarded to described
Frequency image carries out sharpening processing.
Specifically, after going out the acquisition scene of current video image according to a preliminary estimate, the scene that is stored in searching data library
The video parameter standard of suitable luminance information and colouring information, compare current video image colouring information and luminance information with
The video parameter standard of the scene determines the unsharp factor of current video, selects corresponding video sharpening Processing Algorithm pair
Video image carries out sharpening processing.Wherein, it has been prestored in local data base and has been directed to the unintelligible factor of different scenes video
A variety of sharpening Processing Algorithms.
The adaptive clearness processing method of video pictures provided in an embodiment of the present invention, passes through the colouring information of video image
And luminance information, the acquisition scene of video image, right further according to the video parameter standard of the pre-stored scene according to a preliminary estimate
Video carries out sharpening processing, since the present invention can be with the shooting environmental of automatic identification video, the environment such as brightness, color or sound
Information carries out judging whether to be in suitable video parameter standard section, to needing by the principle of fuzzy control to these information
Video to be processed, which automatically selects corresponding algorithm for image clearness, to be given and handles, make video by it is a kind of it is clearer in a manner of preserve or
Show.Therefore technical solution provided in an embodiment of the present invention can meet the sharpening processing of a variety of different scenes video images,
Solve it is existing can only be directed to a kind of video image carry out sharpening processing defect, can meet people to video sharpening at
The demand of reason.
On the basis of the above embodiments, after step S4 carries out sharpening processing to video image, the present invention is implemented
Example can also include：It will be shown by the video image of sharpening processing.Therefore, technical side provided in an embodiment of the present invention
Case can be realized more clear to after the files in stream media that sharpening is handled carries out coded treatment, directly playing over the display
The real-time broadcasting of clear video image.
On the basis of the above embodiments, after step S4 carries out sharpening processing to video image, the present invention is implemented
Example can also include：It will be stored by the video image of sharpening processing.Therefore, technical side provided in an embodiment of the present invention
Case may be implemented the video flowing after encoding and be preserved with the format of video file.
On the basis of the above embodiments, after step S4 carries out sharpening processing to video image, the present invention is implemented
Example can also include：The sharpening processing procedure of video image is stored, the retrieval and inquiry of video image are used for.Cause
This, the related data of video sharpening processing procedure can be stored and be backed up by technical solution provided in an embodiment of the present invention, be used for
The retrieval and inquiry of follow-up.
Preferably, the acquisition scene in step S4 according to estimation and pre-stored video parameter mark corresponding with scene
Standard, to the video image carry out sharpening processing before, further include：The color of different scenes and bright is obtained by machine learning
Spend information；According to the colouring information and luminance information of different scenes, the video parameter standard of corresponding scene is determined；
Wherein, the video parameter standard is the threshold range of the threshold range and luminance information of colouring information.
Specifically, different scenes colouring information and luminance information can be obtained by way of machine learning, to different
Scene can set the threshold range of different colouring informations and the threshold range of luminance information.According to the video currently obtained
The colouring information and luminance information and the color of different scenes and the threshold range of luminance information of image, can be according to a preliminary estimate
Go out the scene of the video image currently obtained, and is known that the threshold value model of the scene corresponding suitable color and brightness
It encloses.According to the colouring information of the video image of current scene acquisition and luminance information and the suitable color of current scene and brightness
The threshold range of information, it can be determined that go out the unsharp reason of video, it is clear that the corresponding video processnig algorithms of reselection carry out video
Clearization processing.
On the other hand, using the above-mentioned adaptive clarification method of video pictures, as shown in Fig. 2, the present invention also provides
A kind of adaptive sharpening processing unit of video pictures, including：Video acquiring module 21 and with the video acquiring module 21 connect
The video processing module 22 connect；The video processing module 22 includes sequentially connected shunting information unit 221, fuzzy matching list
Member 222 and sharpening processing unit 223；
The video acquiring module 21 is for obtaining the video image currently acquired or pre-stored video image；
Described information dividing cell 221 is used to the video image being divided into colouring information and luminance information；
The fuzzy matching unit 222 is used to estimate according to the colouring information and luminance information the acquisition field of video image
Scape；
The sharpening processing unit 223 is used for according to the acquisition scene of estimation and pre-stored corresponding with scene
Video parameter standard carries out sharpening processing to the video image.
Specifically, video acquiring module 21 obtains the video image currently acquired or pre-stored video image；Information
The video image is divided into colouring information and luminance information by dividing cell 221；Fuzzy matching unit 222 is believed according to the color
The acquisition scene of breath and luminance information estimation video image；Sharpening processing unit 223 is according to the acquisition scene of estimation and pre-
The video parameter standard corresponding with scene first stored carries out sharpening processing to the video image.
The adaptive sharpening processing unit of video pictures provided in an embodiment of the present invention, passes through the colouring information of video image
And luminance information, the acquisition scene of video image, right further according to the video parameter standard of the pre-stored scene according to a preliminary estimate
Video carries out sharpening processing, since the present invention can be with the shooting environmental of automatic identification video, the environment such as brightness, color or sound
Information carries out judging whether to be in suitable video parameter standard section, to needing by the principle of fuzzy control to these information
Video to be processed, which automatically selects corresponding algorithm for image clearness, to be given and handles, make video by it is a kind of it is clearer in a manner of preserve or
Show.Therefore technical solution provided in an embodiment of the present invention can meet the sharpening processing of a variety of different scenes video images,
Solve it is existing can only be directed to a kind of video image carry out sharpening processing defect, can meet people to video sharpening at
The demand of reason.
Wherein, video acquiring module 21 is by video file input video processing module 22 in the streaming media.
As shown in figure 3, on the basis of the above embodiments, it is preferred that the video acquiring module 21 includes video acquisition
Unit 211 and video file storage unit 212.Video acquisition unit 211 is used to acquire the video image of current environment, video
File storage unit 212 is for providing pre-stored video image.
As shown in figure 4, on the basis of the above embodiments, the adaptive sharpening of video pictures provided in an embodiment of the present invention
Processing unit further includes：The video display module 23 being connect with the video processing module 22, the video display module 23 are wrapped
It includes：Video display unit 231；
The video display unit 231, for playing out the video image for passing through sharpening processing.
Preferably, the video display module 23 further includes：Video storage unit 232；
The video storage unit 232, for storing the video image for passing through sharpening processing.
Preferably, the video display module 23 further includes：Data Management Unit 233；The Data Management Unit 233,
For storing the sharpening processing procedure of video image, for the retrieval and inquiry of video image.
Although the embodiments of the invention are described in conjunction with the attached drawings, but those skilled in the art can not depart from this hair
Various modifications and variations are made in the case of bright spirit and scope, such modifications and variations are each fallen within by appended claims
Within limited range.
Claims (9)
1. a kind of adaptive clearness processing method of video pictures, which is characterized in that including：
Obtain the video image currently acquired or pre-stored video image；
The video image is divided into colouring information and luminance information；
The acquisition scene of video image is estimated according to the colouring information and luminance information；
The color and luminance information of different scenes are obtained by machine learning, and are believed according to the color of the different scenes and brightness
Breath, determines the video parameter standard corresponding to variant scene；
According to the acquisition scene of estimation and video parameter standard corresponding with the acquisition scene of the estimation, to the video figure
As carrying out sharpening processing；
Wherein, the video parameter standard is the threshold range of the threshold range and luminance information of colouring information.
2. the adaptive clearness processing method of video pictures according to claim 1, which is characterized in that described to video
Image carries out：
It will be shown by the video image of sharpening processing.
3. the adaptive clearness processing method of video pictures according to claim 1, which is characterized in that described to video
Image carries out：
It will be stored by the video image of sharpening processing.
4. the adaptive clearness processing method of video pictures according to claim 1, which is characterized in that further include：
The sharpening processing procedure of video image is stored, the retrieval and inquiry of video image are used for.
5. a kind of adaptive sharpening processing unit of video pictures, which is characterized in that including：It video acquiring module and is regarded with described
The video processing module of frequency acquisition module connection；The video processing module includes sequentially connected shunting information unit, obscures
Matching unit and sharpening processing unit；
The video acquiring module, for obtaining the video image currently acquired or pre-stored video image；
Described information dividing cell, for the video image to be divided into colouring information and luminance information；
The fuzzy matching unit, the acquisition scene for estimating video image according to the colouring information and luminance information；
The sharpening processing unit, color and luminance information for obtaining different scenes by machine learning, and according to not
With the colouring information and luminance information of scene, the video parameter standard of corresponding scene is determined；According to the acquisition scene of estimation and
Video parameter standard corresponding with the acquisition scene of the estimation carries out sharpening processing to the video image.
6. the adaptive sharpening processing unit of video pictures according to claim 5, which is characterized in that the video acquisition
Module includes video acquisition unit and video file storage unit.
7. the adaptive sharpening processing unit of video pictures according to claim 5, which is characterized in that further include：With institute
The video display module of video processing module connection is stated, the video display module includes：Video display unit；
The video display unit, for playing out the video image for passing through sharpening processing.
8. the adaptive sharpening processing unit of video pictures according to claim 7, which is characterized in that the video display
Module further includes：Video storage unit；
The video storage unit, for storing the video image for passing through sharpening processing.
9. the adaptive sharpening processing unit of video pictures according to claim 7, which is characterized in that the video display
Module further includes：Data Management Unit；The Data Management Unit, for depositing the sharpening processing procedure of video image
Storage, for the retrieval and inquiry of video image.
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| CN201610227509.9A CN105898259B (en) | 2016-04-13 | 2016-04-13 | A kind of adaptive clearness processing method of video pictures and device |
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| CN201610227509.9A CN105898259B (en) | 2016-04-13 | 2016-04-13 | A kind of adaptive clearness processing method of video pictures and device |
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| CN105898259B true CN105898259B (en) | 2018-08-14 |
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| EP2214134B1 (en) * | 2007-10-26 | 2013-12-11 | NEC Corporation | Image correction method, image correction device, and program |
| CN101790064A (en) * | 2010-02-23 | 2010-07-28 | 公安部第三研究所 | Hard disk video equipment with video structural description function and method thereof |
| CN104463196B (en) * | 2014-11-11 | 2017-07-25 | 中国人民解放军理工大学 | A kind of weather phenomenon recognition methods based on video |
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