CN106791282B - A kind of panorama scanning system video enhancement method and device - Google Patents
A kind of panorama scanning system video enhancement method and device Download PDFInfo
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- CN106791282B CN106791282B CN201611007528.7A CN201611007528A CN106791282B CN 106791282 B CN106791282 B CN 106791282B CN 201611007528 A CN201611007528 A CN 201611007528A CN 106791282 B CN106791282 B CN 106791282B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/14—Picture signal circuitry for video frequency region
- H04N5/21—Circuitry for suppressing or minimising disturbance, e.g. moiré or halo
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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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Abstract
The invention discloses a kind of panorama scanning system video enhancement method and devices.Method includes the following steps: counting the pixel grayscale for all video datas that the panorama scanning system generates for N weeks the in scanning process, benchmark is divided by pixel of gray level, seeks pixels probability density；The corresponding relationship for establishing pixel grayscale Yu pixels probability density obtains grey scale mapping table；The corresponding pixels probability density of pixel grayscale for obtaining the N+1 weeks all video data according to the grey scale mapping table, obtains panorama panorama image.Technical solution of the present invention obtains panorama histogram information using complete cycle data statistical approach, carries out equalization processing, bring Panoramic Mosaicing border issue after very good solution conventional histogram processing to panoramic picture on this basis.
Description
Technical field
The present invention relates to photoelectric imaging technology field, in particular to a kind of panorama scanning system video enhancement method and dress
It sets.
Background technique
Panorama scanning system may be implemented to 360 ° of pan-shots and export continuous videos, it is desirable that can be in real time to aphorama
Frequency carries out histogram treatment, and then reaches enhancing display effect, eliminates the purpose on interframe boundary.
Panorama scanning system exports video as unit of week compared to traditional camera system.Capture apparatus is installed on turntable
On, orientation does not stop to rotate, and in constant bearing angle trigger exposure, is rotated by 360 ° as a cycle, captured video
Image reaches the aobvious control computer in rear end by data transmission system, complete cycle image can be carried out picture mosaic processing in a computer,
To obtain 360 ° of panorama panorama images.
Conventional histogram processing is counted full frame pixel, is reflected again to pixel grey scale on this basis as unit of frame
It penetrates, reaches enhancing purpose.It is complete cycle the problem of sweeping conventional histogram processing method in system week and being not suitable for, mainly bring
Dynamic range of images is larger, and each frame statistical result difference is obvious in week, and the difference in brightness after histogram treatment is larger, intuitively
Boundary after being experienced as Panoramic Mosaicing is obvious, and display effect is undesirable.In order to reach ideal display effect, need to tradition
Histogram processing methods improve.
Summary of the invention
In order to solve, panorama scanning system Panoramic Mosaicing back boundary in the prior art is obvious, display effect is undesirable is asked
Topic, the present invention provides a kind of panorama scanning system video enhancement method and devices.
Panorama scanning system video enhancement method provided by the invention, comprising the following steps:
The pixel grayscale for all video datas that the panorama scanning system generates for N weeks in scanning process is counted,
Benchmark is divided by pixel of gray level, seeks pixels probability density；
The corresponding relationship for establishing pixel grayscale Yu pixels probability density obtains grey scale mapping table；
The corresponding pixels probability of pixel grayscale for obtaining the N+1 weeks all video data according to the grey scale mapping table is close
Degree, obtains panorama panorama image.
The present invention also provides a kind of panorama scanning system video enhancement devices, including statistics and computing module, gray scale to reflect
Firing table generation module and panorama histogram stretching module:
The statistics and computing module, the institute generated in scanning process for N weeks for counting the panorama scanning system
There is the pixel grayscale of video data, divides benchmark by pixel of gray level, seek pixels probability density；
The grey scale mapping table generation module is obtained for establishing the corresponding relationship of pixel grayscale Yu pixels probability density
To grey scale mapping table；
The panorama histogram stretching module, for obtaining the N+1 weeks all video data according to the grey scale mapping table
The corresponding pixels probability density of pixel grayscale, obtain panorama panorama image.
The present invention has the beneficial effect that:
The embodiment of the present invention obtains panorama histogram information using complete cycle data statistical approach, on this basis to panorama sketch
As carrying out equalization processing, bring Panoramic Mosaicing border issue after very good solution conventional histogram processing.
The above description is only an overview of the technical scheme of the present invention, in order to better understand the technical means of the present invention,
And it can be implemented in accordance with the contents of the specification, and in order to allow above and other objects of the present invention, feature and advantage can
It is clearer and more comprehensible, the followings are specific embodiments of the present invention.
Detailed description of the invention
Fig. 1 is the flow chart of the panorama scanning system video enhancement method of the embodiment of the present invention；
Fig. 2 is the structural schematic diagram of the panorama scanning system video enhancement device of the embodiment of the present invention.
Specific embodiment
Exemplary embodiments of the present disclosure are described in more detail below with reference to accompanying drawings.Although showing the disclosure in attached drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here
It is limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure
It is fully disclosed to those skilled in the art.
In order to solve, panorama scanning system Panoramic Mosaicing back boundary in the prior art is obvious, display effect is undesirable is asked
Topic, the present invention provides a kind of panorama scanning system video enhancement method and devices, below in conjunction with attached drawing and embodiment, to this
Invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, not
Limit the present invention.
According to an embodiment of the invention, providing a kind of panorama scanning system video enhancement method, Fig. 1 is implementation of the present invention
The flow chart of the panorama scanning system video enhancement method of example, as shown in Figure 1, panorama scanning system according to an embodiment of the present invention
Video enhancement method includes following processing:
Step 101, the pixel for all video datas that the panorama scanning system generates for N weeks in scanning process is counted
Gray level divides benchmark by pixel of gray level, seeks pixels probability density；
Step 102, the corresponding relationship for establishing pixel grayscale Yu pixels probability density obtains grey scale mapping table；
Step 103, the corresponding picture of pixel grayscale of the N+1 weeks all video data is obtained according to the grey scale mapping table
Plain probability density obtains panorama panorama image.
The N is variable, and specific N is the positive integer more than or equal to 1.
Specifically, step 101 the following steps are included:
The gray level is sent to RAM by the gray level for determining the N weeks ith pixel, and wherein RAM is receiving the ash
When spending grade, history frequency of occurrence of the gray level within this week is added 1, enables i=i+1, repeats the process, it is all until having traversed
Pixel transfers this weekly data stored in the RAM, obtains panorama histogram；
Statistical data of each gray level within this week in the panorama histogram is successively taken out, is calculated often according to formula 1
The pixels probability density P of a gray levelr(r), until to obtain corresponding pixel general for each gray level in the panorama histogram
Rate density；
Specifically, further comprising the steps of after step 102:
The abnormal pixel in the grey scale mapping table is rejected, to be modified to the grey scale mapping table.
More specifically, the abnormal pixel in the grey scale mapping table is rejected, to be modified to the grey scale mapping table
Concrete operations are as follows:
The mapping gray level of preset minimum gray level thresholding gray level below is set as in the grey scale mapping table
0, the mapping gray level of gray level more than preset highest gray level thresholding is set as 255, obtains revised grey scale mapping
Table.
Specifically, step 103 the following steps are included:
After the input of each the N+1 weeks video data, using pixel grayscale as the picture in allocation index grey scale mapping table
Plain probability density obtains panorama panorama image according to the pixels probability density of the N+1 weeks all video data.
The embodiment of the present invention discards tradition histogram enhancement method, is handled in real time as unit of week panoramic picture,
It realizes and sweeps video source modeling function in system week, substantially increase the effect of visualization of image, the boundary solved in picture mosaic is asked
Topic.At the same time, new statistics with histogram method also gives up part abnormal pixel, weakens abnormal pixel bring equalization
Problem-Error.
According to an embodiment of the invention, providing a kind of panorama scanning system video enhancement device, Fig. 2 is implementation of the present invention
The structural schematic diagram of the panorama scanning system video enhancement device of example, as shown in Fig. 2, panorama according to an embodiment of the present invention scans
System video enhancement device includes: statistics and computing module 20, grey scale mapping table generation module 22 and panorama histogram stretching die
Block 24 is below described in detail the modules of the embodiment of the present invention.
Specifically, the statistics and computing module 20, for counting the panorama scanning system in the N weeks scanning process
The pixel grayscale of all video datas generated divides benchmark by pixel of gray level, seeks pixels probability density.
Specifically, the statistics and computing module 20 include panoramic video statistic unit and computing unit:
The panoramic video statistic unit sends the gray level for determining the gray level of the N weeks ith pixel
To RAM, wherein history frequency of occurrence of the gray level within this week is added 1, enables i=i+1 by RAM when receiving the gray level,
The process is repeated to transfer this weekly data stored in the RAM until having traversed all pixels, obtain panorama histogram；
The computing unit, for successively taking out statistical number of each gray level within this week in the panorama histogram
According to calculating the pixels probability density P of each gray level according to formula 2r(r), until each gray level in the panorama histogram
All obtain corresponding pixels probability density；
Panoramic video statistic unit records the number of the pixel grey scale of each input using FPGA internal RAM, in the application
RAM depth size is distinguishing with conventional histogram statistics.RAM depth is all pixels gray level, for example, for 16bit
Infrared image, the RAM depth needed are 216=64K.Because being panoramic video, RAM bit is wide also to be increase accordingly, general single
Frame normalized set is that every pixel grey scale most probable number MPN is image resolution ratio, and panorama statistics is on this basis it is also contemplated that one week
Frame number, is 160 frames in actual items, and resolution ratio obtains the possible maximum statistic of each pixel multiplied by 160, thus calculates
Obtaining RAM bit width is 25bit.
After the completion of the input of the last one pixel of panoramic video, the work of panoramic video statistic unit is completed, and then starting calculates
Unit.
Specifically, the grey scale mapping table generation module, corresponding with pixels probability density for establishing pixel grayscale
Relationship obtains grey scale mapping table.
The panorama histogram stretching module 24, for obtaining the N+1 weeks all video counts according to the grey scale mapping table
According to the corresponding pixels probability density of pixel grayscale, obtain panorama panorama image.
Specifically, panorama histogram stretching module 24, after the input of each the N+1 weeks video data, with pixel grey scale
Grade is the pixels probability density in allocation index grey scale mapping table, according to the pixels probability density of the N+1 weeks all video data
Obtain panorama panorama image.
Panorama scanning system video histogram enhancement device of the present invention further includes correction module, is reflected for rejecting the gray scale
Abnormal pixel in firing table, to be modified to the grey scale mapping table.
Specifically, the correction module, being used for will be below preset minimum gray level thresholding in the grey scale mapping table
The mapping gray level of gray level be set as 0, the mapping gray level of gray level more than preset highest gray level thresholding is set as
255, obtain revised grey scale mapping table.Thus achieve the purpose that give up abnormal pixel, it is equal to weaken abnormal pixel bring
Weighing apparatusization Problem-Error.Under normal circumstances, minimum gray scale improves 100 gray levels, and grey scale mapping below is set as 0 herein, highest
Gray scale reduces by 100 gray levels, and above grey scale mapping is set as 255 herein.
Each module real-time update in panorama scanning system video histogram enhancement device of the present invention, is often rotated by 360 ° update
Once.
The embodiment of the present invention combines land and sea border defense system, the current situation of important place defense system in recent years, is based on certain land and sea border defense
Platform invents a kind of panorama scan video histogram enhancement method.Global histogram is carried out using panorama panoramic video statistical result
Figure processing, realizing enhances panorama panoramic video real time histogram, improves video-see quality, efficiently solves panorama sketch
As picture mosaic bring border issue.And consider hardware realization problem, module fully considers that PFGA is handled, optimization processing flowing water
Structure reduces unnecessary extra delay to the greatest extent, ensure that system real time.
The above description is only an embodiment of the present invention, is not intended to restrict the invention, for those skilled in the art
For member, the invention may be variously modified and varied.All within the spirits and principles of the present invention, it is made it is any modification,
Equivalent replacement, improvement etc., should be included within scope of the presently claimed invention.
Claims (8)
1. a kind of panorama scanning system video enhancement method, which comprises the following steps:
The pixel grayscale for all video datas that the panorama scanning system generates for N weeks in scanning process is counted, with ash
Spending grade is that pixel divides benchmark, seeks pixels probability density；
The corresponding relationship for establishing pixel grayscale Yu pixels probability density obtains grey scale mapping table；
The corresponding pixels probability density of pixel grayscale for obtaining the N+1 weeks all video data according to the grey scale mapping table,
Obtain panorama panorama image；
The pixel grayscale for all video datas that the panorama scanning system generates during scanning in the N weeks is counted, with
Pixel grayscale be pixel divide benchmark, seek pixels probability density specifically includes the following steps:
The gray level is sent to RAM by the gray level for determining the N weeks ith pixel, and wherein RAM is receiving the gray level
When, history frequency of occurrence of the gray level within this week is added 1, enables i=i+1, the process is repeated, until having traversed all pictures
Element transfers this weekly data stored in the RAM, obtains panorama histogram；
Statistical data of each gray level within this week in the panorama histogram is successively taken out, calculates each ash according to formula 1
Spend the pixels probability density P of grader(r), until to obtain corresponding pixels probability close for each gray level in the panorama histogram
Degree；
2. panorama scanning system video enhancement method as described in claim 1, which is characterized in that described to establish pixel grayscale
With the corresponding relationship of pixels probability density, after obtaining grey scale mapping table further include:
The abnormal pixel in the grey scale mapping table is rejected, to be modified to the grey scale mapping table.
3. panorama scanning system video enhancement method as claimed in claim 2, which is characterized in that reject the grey scale mapping table
In abnormal pixel, to be modified to the grey scale mapping table specifically includes the following steps:
The mapping gray level of preset minimum gray level thresholding gray level below is set as 0 in the grey scale mapping table, it will
The mapping gray level of gray level more than preset highest gray level thresholding is set as 255, obtains revised grey scale mapping table.
4. panorama scanning system video enhancement method as claimed in claim 1 or 2, which is characterized in that reflected according to the gray scale
Firing table obtains the corresponding pixels probability density of pixel grayscale of the N+1 weeks all video data, obtains panorama panorama image tool
Body the following steps are included:
It is general as the pixel in allocation index grey scale mapping table using pixel grayscale after the input of each the N+1 weeks video data
Rate density obtains panorama panorama image according to the pixels probability density of the N+1 weeks all video data.
5. a kind of panorama scanning system video enhancement device, which is characterized in that raw including statistics and computing module, grey scale mapping table
At module and panorama histogram stretching module:
The statistics and computing module, all views generated in scanning process for N weeks for counting the panorama scanning system
The pixel grayscale of frequency evidence divides benchmark by pixel of gray level, seeks pixels probability density；
The grey scale mapping table generation module obtains ash for establishing the corresponding relationship of pixel grayscale Yu pixels probability density
Spend mapping table；
The panorama histogram stretching module, for obtaining the picture of the N+1 weeks all video data according to the grey scale mapping table
The corresponding pixels probability density of plain gray level, obtains panorama panorama image；
The statistics and computing module include panoramic video statistic unit and computing unit:
The gray level is sent to by the panoramic video statistic unit for determining the gray level of the N weeks ith pixel
RAM, wherein history frequency of occurrence of the gray level within this week is added 1, enables i=i+1 by RAM when receiving the gray level, weight
The multiple process transfers this weekly data stored in the RAM, obtains panorama histogram until having traversed all pixels；
The computing unit is pressed for successively taking out statistical data of each gray level within this week in the panorama histogram
The pixels probability density P of each gray level is calculated according to formula 2r(r), until in the panorama histogram each gray level obtain
Corresponding pixels probability density；
6. panorama scanning system video enhancement device as claimed in claim 5, which is characterized in that further include correction module, use
In rejecting the abnormal pixel in the grey scale mapping table, to be modified to the grey scale mapping table.
7. panorama scanning system video enhancement device as claimed in claim 6, which is characterized in that the correction module is specifically used
In:
The mapping gray level of preset minimum gray level thresholding gray level below is set as 0 in the grey scale mapping table, it will
The mapping gray level of gray level more than preset highest gray level thresholding is set as 255, obtains revised grey scale mapping table.
8. such as panorama scanning system video enhancement device described in claim 5 or 6, which is characterized in that the panorama histogram
Stretching module is specifically used for:
It is general as the pixel in allocation index grey scale mapping table using pixel grayscale after the input of each the N+1 weeks video data
Rate density obtains panorama panorama image according to the pixels probability density of the N+1 weeks all video data.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101247513A (en) * | 2007-12-25 | 2008-08-20 | 谢维信 | Method for real-time generating 360 degree seamless full-view video image by single camera |
| CN101873429A (en) * | 2010-04-16 | 2010-10-27 | 杭州海康威视软件有限公司 | Processing method and device of image contrast |
| CN102014279A (en) * | 2010-12-20 | 2011-04-13 | 杭州华三通信技术有限公司 | Method and device for intensifying video image contrast |
| WO2013075224A1 (en) * | 2011-11-22 | 2013-05-30 | Corel Corporation | Conversion of 2-dimensional image data into 3-dimensional image data |
| CN105957004A (en) * | 2016-04-27 | 2016-09-21 | 武汉大学 | Panoramic image restoration method and system based on graph cut optimization |
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- 2016-11-16 CN CN201611007528.7A patent/CN106791282B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101247513A (en) * | 2007-12-25 | 2008-08-20 | 谢维信 | Method for real-time generating 360 degree seamless full-view video image by single camera |
| CN101873429A (en) * | 2010-04-16 | 2010-10-27 | 杭州海康威视软件有限公司 | Processing method and device of image contrast |
| CN102014279A (en) * | 2010-12-20 | 2011-04-13 | 杭州华三通信技术有限公司 | Method and device for intensifying video image contrast |
| WO2013075224A1 (en) * | 2011-11-22 | 2013-05-30 | Corel Corporation | Conversion of 2-dimensional image data into 3-dimensional image data |
| CN105957004A (en) * | 2016-04-27 | 2016-09-21 | 武汉大学 | Panoramic image restoration method and system based on graph cut optimization |
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