CN109688292A - A kind of removal image flicker Histogram Mapping method - Google Patents
A kind of removal image flicker Histogram Mapping method Download PDFInfo
- Publication number
- CN109688292A CN109688292A CN201811553611.3A CN201811553611A CN109688292A CN 109688292 A CN109688292 A CN 109688292A CN 201811553611 A CN201811553611 A CN 201811553611A CN 109688292 A CN109688292 A CN 109688292A
- Authority
- CN
- China
- Prior art keywords
- histogram
- image
- frame image
- current frame
- flicker
- 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
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
- H04N23/81—Camera processing pipelines; Components thereof for suppressing or minimising disturbance in the image signal generation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/30—Transforming light or analogous information into electric information
- H04N5/33—Transforming infrared radiation
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Picture Signal Circuits (AREA)
Abstract
The invention discloses a kind of removal image flicker Histogram Mapping methods, this method comprises: Step 1: obtaining the histogram of current frame image according to the histogram of previous frame image；Step 2: the histogram to current frame image carries out enhancing processing, the Histogram Mapping table of current frame image is obtained, realtime graphic is exported according to the Histogram Mapping table of current frame image.For the present invention is compared to existing removal image flicker technology, directly the histogram of image is handled, the variation of image background can be made and be timely responded to and handle, so that removal flicker effect is good；Simultaneously invention also contemplates that relevance between adjacent two field pictures, improves image displaying quality, high reliablity.And treatment process of the invention is more succinct, calculation amount is small, is convenient for hardware realization.
Description
Technical field
The present invention relates to technical field of image processing, and in particular to a kind of removal image flicker Histogram Mapping method.
Background technique
Existing common infrared camera generally detects the illumination intensity of local environment using light-sensitive element, according to
The threshold value determined in design parameter generates control signal, realizes the unlatching of infrared lamp: infrared when illumination intensity is lower than threshold value
Lamp, which is opened, to shine, and then closes when higher than threshold value.Wherein, the case where when illumination intensity is slightly less than threshold value: light-sensitive element detects photograph
Bright intensity is slightly less than threshold value, and control infrared lamp, which is opened, to shine；After infrared lamp shines, the illumination detected, which improves, (be added reversed
Infrared light back), and be more than threshold value, control infrared lamp is closed；Lead to the luminance reduction detected, another secondary control is red
Outer lamp is opened.Do not stop and so on, causes the flashing of image；Therefore in order to obtain high quality graphic, need to infrared image into
The processing of row blink-off.And image histogram is since to calculate cost smaller for it, and has image translation, rotation, scaling invariance etc.
Many merits are widely used in the every field of image procossing, therefore existing frequently with the methods of image histogram equalization
Blink-off processing is carried out to image.
Existing video image blink-off method further include: in such a way that threshold value is set, the image of present frame is carried out
Processing handles current frame image mapping table by the Histogram Mapping table to previous frame image, however when video image display
Substantially multiframe still image continuously displays process, and therefore, existing blink-off processing method does not consider adjacent multiframe figure
Relevance as between, causes image procossing precision not high, poor reliability；Furthermore when image background changes, existing skill
Art cannot in time handle it to the variation, cause treatment effect still undesirable.
Summary of the invention
Undesirable for solution removal flicker effect of the existing technology, the technical problems such as poor reliability, the present invention provides
A kind of removal image flicker Histogram Mapping method.This method is directly handled histogram, can be become to image background
It changes to make and timely responds to and handle, improve image displaying quality.
The present invention is achieved through the following technical solutions:
A kind of removal image flicker Histogram Mapping method, method includes the following steps:
Step 1: obtaining the histogram of current frame image according to the histogram of previous frame image；
Step 2: the histogram to current frame image carries out enhancing processing, the Histogram Mapping table of current frame image is obtained,
Realtime graphic is exported according to the Histogram Mapping table of current frame image.
Preferably, the step 1 specifically includes:
When 1.1 current frame images are the 1st frame image, the histogram L of the 1st frame image is counted1, directly adopt histogram L1
Execute step 2；
When 1.2 current frame images are n-th frame image, the histogram L of n-th frame image is countedn', according to the (n-1)th frame image
Histogram Ln-1To the histogram L of current frame imagen' handled to obtain present frame treated histogram Ln；Wherein, 1 < n≤
N and n are positive integer, and N is the totalframes of video image；
Preferably, according to the histogram L of the (n-1)th frame imagen-1To the histogram L of current frame imagen' handled to obtain
Present frame treated histogram LnIt specifically includes: L is obtained using weighted average methodn=Ln′*P+Ln-1* (1-P), wherein P
For weighting parameter.
Preferably, the P value is 0.25~0.75.
Preferably, the P value is 0.5.
Preferably, the enhancing processing uses histogram equalization method.
The present invention has the advantage that and the utility model has the advantages that
For the present invention is compared to existing removal image flicker technology, directly the histogram of image is handled, energy
Enough make to the variation of image background timely responds to and handles, so that removal flicker effect is good；Simultaneously invention also contemplates that phase
Relevance between adjacent two field pictures improves image displaying quality, high reliablity.And treatment process of the invention is simpler
Clean, calculation amount is small, is convenient for hardware realization.
Detailed description of the invention
Attached drawing described herein is used to provide to further understand the embodiment of the present invention, constitutes one of the application
Point, do not constitute the restriction to the embodiment of the present invention.In the accompanying drawings:
Fig. 1 is 6 frame image processing flow schematic diagrames of the invention.
Fig. 2 is the image comparison figure handled using the prior art and method of the invention same image.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, below with reference to embodiment and attached drawing, to this
Invention is described in further detail, and exemplary embodiment of the invention and its explanation for explaining only the invention, are not made
For limitation of the invention.
Embodiment 1
The present embodiment proposes a kind of removal image flicker Histogram Mapping method, this method comprises:
Step 1: obtaining the histogram of current frame image according to the histogram of previous frame image；
Wherein, the step 1 specifically includes:
When 1.1 current frame images are the 1st frame image, the histogram L of the 1st frame image is counted1, directly adopt histogram L1
Execute step 2；
When 1.2 current frame images are n-th frame image, the histogram L of n-th frame image is countedn', according to the (n-1)th frame image
Histogram Ln-1To the histogram L of current frame imagen' handled to obtain present frame treated histogram Ln, it is specific as follows:
L is obtained using weighted average methodn=Ln′*P+Ln-1* (1-P), wherein P is weighting parameter.Preferably, the P
Value is 0.25~0.75.
Wherein, 1 < n≤N and n are positive integer, and N is the totalframes of video image；
Step 2: the histogram to current frame image carries out enhancing processing, the Histogram Mapping table of current frame image is obtained,
Realtime graphic is exported according to the Histogram Mapping table of current frame image.Specifically using histogram equalization method to current frame image
Histogram carry out enhancing processing, and map to 0~255, the Histogram Mapping table of current frame image obtained, according to present frame figure
The Histogram Mapping table of picture exports realtime graphic.
Embodiment 2
The present embodiment 2 based on the above embodiment 1 propose a kind of removal image flicker Histogram Mapping method, to 6 frame figures
As being handled, as shown in Figure 1, concrete processing procedure is as follows:
The histogram L of 2.1 the 1st frame images of statistics1, using histogram equalization method to the histogram of the 1st frame image into
Row enhancing processing, and 0~255 is mapped to, the Histogram Mapping table of the 1st frame image is obtained, is reflected according to the histogram of the 1st frame image
Firing table exports realtime graphic；
The histogram L of 2.2 statistics n-th frame imagesn', according to the histogram L of the (n-1)th frame imagen-1To current frame image
Histogram Ln' handled to obtain present frame treated histogram Ln；It is handled using histogram equalization method to present frame
Histogram L afterwardsnEnhancing processing is carried out, and maps to 0~255, the Histogram Mapping table of n-th frame image is obtained, according to n-th frame
The Histogram Mapping table of image exports realtime graphic, wherein 1 n≤6 < and n is positive integer；
Wherein, according to the histogram L of the (n-1)th frame imagen-1To the histogram L of current frame imagen' handled and worked as
Previous frame treated histogram Ln, it is specific as follows:
L is obtained using weighted average methodn=Ln′*P+Ln-1* (1-P), wherein P is weighting parameter.Preferably, the P
Value is 0.25~0.75.
2.3 repeat step 2.2, until obtaining the Histogram Mapping table of the 6th frame image, according to the straight of the 6th frame image
Square figure mapping table exports realtime graphic.
Embodiment 3
A kind of removal image sudden strain of a muscle that existing removal image flicker method is respectively adopted in the present embodiment 3 and above-described embodiment proposes
Bright Histogram Mapping method is removed flashing processing to same image, obtains output image as shown in Figure 2, wherein in Fig. 2
(left side) figure is the output image handled using the prior art, and (right side) figure is the output handled using the present invention in Fig. 2
Image；As seen from the figure: the display effect of (right side) figure is substantially better than (left side) figure, that is, shows method removal flicker effect of the invention more
Excellent, reliability is higher.Wherein, in the present embodiment, the P value is 0.5.
Above-described specific embodiment has carried out further the purpose of the present invention, technical scheme and beneficial effects
It is described in detail, it should be understood that being not intended to limit the present invention the foregoing is merely a specific embodiment of the invention
Protection scope, all within the spirits and principles of the present invention, any modification, equivalent substitution, improvement and etc. done should all include
Within protection scope of the present invention.
Claims (6)
1. a kind of removal image flicker Histogram Mapping method, which is characterized in that method includes the following steps:
Step 1: obtaining the histogram of current frame image according to the histogram of previous frame image；
Step 2: the histogram to current frame image carries out enhancing processing, the Histogram Mapping table of current frame image is obtained, according to
The Histogram Mapping table of current frame image exports realtime graphic.
2. a kind of removal image flicker Histogram Mapping method according to claim 1, which is characterized in that the step 1
It specifically includes:
When 1.1 current frame images are the 1st frame image, the histogram L of the 1st frame image is counted1, directly adopt histogram L1It executes
Step 2；
When 1.2 current frame images are n-th frame image, the histogram L of n-th frame image is countedn', according to the histogram of the (n-1)th frame image
Scheme Ln-1To the histogram L of current frame imagen' handled to obtain present frame treated histogram Ln；Wherein, 1 < n≤N and n
For positive integer, N is the totalframes of video image.
3. a kind of removal image flicker Histogram Mapping method according to claim 2, which is characterized in that according to (n-1)th
The histogram L of frame imagen-1To the histogram L of current frame imagenHandled to obtain present frame treated histogram LnSpecifically
It include: that L is obtained using weighted average methodn=Ln′*P+Ln-1* (1-P), wherein P is weighting parameter.
4. a kind of removal image flicker Histogram Mapping method according to claim 3, which is characterized in that the P value
It is 0.25~0.75.
5. a kind of removal image flicker Histogram Mapping method according to claim 3, which is characterized in that the P value
It is 0.5.
6. a kind of removal image flicker Histogram Mapping method according to claim 1-5, which is characterized in that institute
Enhancing processing is stated using histogram equalization method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811553611.3A CN109688292A (en) | 2018-12-18 | 2018-12-18 | A kind of removal image flicker Histogram Mapping method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811553611.3A CN109688292A (en) | 2018-12-18 | 2018-12-18 | A kind of removal image flicker Histogram Mapping method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109688292A true CN109688292A (en) | 2019-04-26 |
Family
ID=66186995
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811553611.3A Pending CN109688292A (en) | 2018-12-18 | 2018-12-18 | A kind of removal image flicker Histogram Mapping method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109688292A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021238655A1 (en) * | 2020-05-29 | 2021-12-02 | 展讯通信（上海）有限公司 | Image processing method and apparatus, storage medium and terminal |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101059951A (en) * | 2006-04-20 | 2007-10-24 | 佳能株式会社 | Image processing apparatus and method |
| US20120162245A1 (en) * | 2010-12-22 | 2012-06-28 | Louis Joseph Kerofsky | Ambient adaptive illumination of a liquid crystal display |
| CN103177429A (en) * | 2013-04-16 | 2013-06-26 | 南京理工大学 | FPGA (field programmable gate array)-based infrared image detail enhancing system and method |
| CN104268840A (en) * | 2014-09-30 | 2015-01-07 | 成都市晶林科技有限公司 | Method for enhancing infrared image histogram redundancy elimination and gray level equal interval mapping |
| CN105530406A (en) * | 2015-12-18 | 2016-04-27 | 成都国翼电子技术有限公司 | Intelligent enhancement method based on history frame image statistic values |
| CN105635524A (en) * | 2015-12-18 | 2016-06-01 | 成都国翼电子技术有限公司 | Intelligent enhancement method based on dark region histogram area statistics of history frame image |
| CN106028014A (en) * | 2016-05-27 | 2016-10-12 | 京东方科技集团股份有限公司 | Method and equipment for correcting video flicker |
| CN106204505A (en) * | 2016-06-22 | 2016-12-07 | 成都市晶林科技有限公司 | Video based on infrared image enhancement Histogram Mapping table goes to flash method |
| CN106791283A (en) * | 2017-01-25 | 2017-05-31 | 京东方科技集团股份有限公司 | A kind of method for correcting video flashes, device and video equipment |
| CN108090887A (en) * | 2016-11-23 | 2018-05-29 | 杭州海康威视数字技术股份有限公司 | A kind of method of video image processing and device |
-
2018
- 2018-12-18 CN CN201811553611.3A patent/CN109688292A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101059951A (en) * | 2006-04-20 | 2007-10-24 | 佳能株式会社 | Image processing apparatus and method |
| US20120162245A1 (en) * | 2010-12-22 | 2012-06-28 | Louis Joseph Kerofsky | Ambient adaptive illumination of a liquid crystal display |
| CN103177429A (en) * | 2013-04-16 | 2013-06-26 | 南京理工大学 | FPGA (field programmable gate array)-based infrared image detail enhancing system and method |
| CN104268840A (en) * | 2014-09-30 | 2015-01-07 | 成都市晶林科技有限公司 | Method for enhancing infrared image histogram redundancy elimination and gray level equal interval mapping |
| CN105530406A (en) * | 2015-12-18 | 2016-04-27 | 成都国翼电子技术有限公司 | Intelligent enhancement method based on history frame image statistic values |
| CN105635524A (en) * | 2015-12-18 | 2016-06-01 | 成都国翼电子技术有限公司 | Intelligent enhancement method based on dark region histogram area statistics of history frame image |
| CN106028014A (en) * | 2016-05-27 | 2016-10-12 | 京东方科技集团股份有限公司 | Method and equipment for correcting video flicker |
| CN106204505A (en) * | 2016-06-22 | 2016-12-07 | 成都市晶林科技有限公司 | Video based on infrared image enhancement Histogram Mapping table goes to flash method |
| CN108090887A (en) * | 2016-11-23 | 2018-05-29 | 杭州海康威视数字技术股份有限公司 | A kind of method of video image processing and device |
| CN106791283A (en) * | 2017-01-25 | 2017-05-31 | 京东方科技集团股份有限公司 | A kind of method for correcting video flashes, device and video equipment |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021238655A1 (en) * | 2020-05-29 | 2021-12-02 | 展讯通信（上海）有限公司 | Image processing method and apparatus, storage medium and terminal |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101833754B (en) | Image enhancement method and image enhancement system | |
| CN102693532B (en) | The automatic local directed complete set of image shadow and highlight | |
| CN110706172B (en) | Low-illumination color image enhancement method based on adaptive chaotic particle swarm optimization | |
| CN101620819B (en) | Dynamic regulation method and dynamic regulation device for displaying image back light brightness, and moving display device | |
| CN106897981A (en) | A kind of enhancement method of low-illumination image based on guiding filtering | |
| CN108093175B (en) | A kind of adaptive defogging method of real-time high-definition video and device | |
| CN103440674B (en) | A kind of rapid generation of digital picture wax crayon specially good effect | |
| WO2024060576A1 (en) | Image dehazing method based on dark channel prior | |
| CN103955918A (en) | Full-automatic fine image matting device and method | |
| WO2012155525A1 (en) | Method, device and apparatus for processing video images | |
| CN102014279B (en) | Method and device for intensifying video image contrast | |
| CN107404647A (en) | Camera lens condition detection method and device | |
| CN105374042A (en) | Device and method of on-line automatic count of fries on the basis of machine vision | |
| CN103002291A (en) | Camera wide dynamic image enhancement method and device | |
| CN107862672B (en) | Image defogging method and device | |
| CN106169182A (en) | A kind of method synthesizing several different exposure images | |
| CN106057700B (en) | A kind of detection method on red of the side of solar battery sheet | |
| CN106296618A (en) | A kind of color image defogging method based on Gaussian function weighted histogram regulation | |
| CN108616700A (en) | Image processing method and device, electronic equipment, computer readable storage medium | |
| CN110047052A (en) | A kind of strong Xanthophyll cycle night vision Enhancement Method based on FPGA | |
| CN105118077B (en) | A kind of method and system for improving file shooting fluency | |
| CN105263008B (en) | Color image quality method for improving and its device under low environment illumination | |
| CN109688292A (en) | A kind of removal image flicker Histogram Mapping method | |
| CN103839245A (en) | Retinex night color image enhancement method based on statistical regularities | |
| CN116524195A (en) | Semantic segmentation method, semantic segmentation device, electronic equipment and storage medium |
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: 20190426 |
|
| RJ01 | Rejection of invention patent application after publication |