CN102984463A - Method and system for image processing - Google Patents
Method and system for image processing Download PDFInfo
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- CN102984463A CN102984463A CN2012103400717A CN201210340071A CN102984463A CN 102984463 A CN102984463 A CN 102984463A CN 2012103400717 A CN2012103400717 A CN 2012103400717A CN 201210340071 A CN201210340071 A CN 201210340071A CN 102984463 A CN102984463 A CN 102984463A
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Abstract
The invention provides a method for image processing. The method for the image processing comprises an image exposure adjusting processing method. The image exposure adjusting processing method includes the following steps: A. Acquiring a brightness average value of video data in an exposure measurement area of the video data. B. Comparing the brightness average value with a mode brightness average value, increasing exposure parameters and carrying out step C if the brightness average value is smaller than the mode brightness average value; decreasing the exposure parameters and carrying out the step C if the brightness average value is bigger than the mode brightness average value; maintaining the exposure parameters if the brightness average value is equal to the mode brightness average value. C. Transmitting the changed exposure parameters to an image sensor. The method and the system for the image processing have the advantages that the method for the image processing is capable of significantly increasing exposure response speed and improving camera exposure speed.
Description
Technical field
The present invention relates to image processing field, relate in particular to image processing method and system.
Background technology
In current intelligent security guard industry, owing to need to carry out more Intelligent treatment to video, for example intelligent video identification, so the requirement to picture quality is more and more higher, especially in the more and more general situation of high-definition camera, how to comply with the fast change and obtain the problem that high quality graphic becomes each manufacturer's research of different video occasion.
Traditional video camera exposure all is the CPU that adopts in the special-purpose asic chip, calculate the brightness value of the video data of output, then by serial communication interface the exposure parameter that draws is write in the open register of imageing sensor, then imageing sensor can respond the output video data at next frame.Because the CPU arithmetic speed is limited, video rate is higher, and the CPU of asic chip inside can't provide exposure change processing scheme in current image frame at present, and several frames even tens frames so the exposure response can lag behind cause the video camera film speed fast not.
Summary of the invention
In order to solve the fast not problem of video camera film speed in the prior art, the invention provides a kind of image processing method.
The invention provides a kind of image processing method, comprise image exposure adjustment processing method, this image exposure is adjusted processing method and is comprised the steps:
A. obtain the average brightness of video data in the exposure measuring and calculating zone of video data;
B. average brightness and pattern average brightness compare, such as average brightness less than the pattern average brightness, increase exposure parameter and execution in step C so; Such as average brightness greater than the pattern average brightness, reduce exposure parameter and execution in step C so; Identical with the pattern average brightness such as average brightness, do not change exposure parameter so;
C. the exposure parameter after will changing transfers to imageing sensor.
As a further improvement on the present invention, in described steps A, comprise the steps:
A1. calculate all rgb values of range statistics video data in exposure;
A2. then all rgb value additions are obtained the average brightness of video data divided by the pixel number.
As a further improvement on the present invention, in described steps A 1, by FPGA unit all rgb values at exposure measuring and calculating range statistics video data.
As a further improvement on the present invention, in described step C, the exposure parameter after the change is transferred to imageing sensor by serial line interface.
As a further improvement on the present invention, this image processing method comprises that also image color draws high method, and this image color draws high method and the exposure adjustment processing method is finished in same frame; Draw high in the method at image color and to comprise the steps:
(1). the bright dark distribution situation of the scope of each pixel point value of statistical picture, judgement entire image;
(2) ratio of selecting image color to draw high according to the bright dark distribution situation of entire image.
The present invention also provides a kind of image processing system, comprising:
Acquisition module is used for the regional average brightness that obtains video data of exposure measuring and calculating at video data;
Comparison module is used for average brightness and pattern average brightness and compares;
Transport module, the exposure parameter after being used for changing transfers to imageing sensor.
As a further improvement on the present invention, described acquisition module comprises:
Statistical module is used for all rgb values at exposure measuring and calculating range statistics video data;
Computing module is for the average brightness that then all rgb value additions is obtained video data divided by the pixel number.
The invention has the beneficial effects as follows: this image processing method can promote the speed of exposure response greatly, accelerates the video camera film speed.
Description of drawings
Fig. 1 is the flow chart that image exposure of the present invention is adjusted processing method.
Fig. 2 is the flow chart that image exposure of the present invention is adjusted processing method one embodiment.
Fig. 3 is the flow chart that image color of the present invention draws high method.
Embodiment
As shown in Figure 1, the invention discloses a kind of image processing method, comprise image exposure adjustment processing method, this image exposure is adjusted processing method and is comprised that step S1 is to step S3.
In step S1, obtain the average brightness of video data in the exposure measuring and calculating zone of video data.
In step S2, average brightness and pattern average brightness compare, such as average brightness less than the pattern average brightness, increase exposure parameter and execution in step S3 so; Such as average brightness greater than the pattern average brightness, reduce exposure parameter and execution in step S3 so; Identical with the pattern average brightness such as average brightness, do not change exposure parameter so.
In step S3, the exposure parameter after the change is transferred to imageing sensor.
As shown in Figure 2, in described step S1, comprise following two step: step SS1, at all rgb values of exposure measuring and calculating range statistics video data; Then step SS2 obtains all rgb value additions the average brightness of video data divided by the pixel number.
In described step SS1, by FPGA unit all rgb values at exposure measuring and calculating range statistics video data.
In step S3, the exposure parameter after the change is transferred to imageing sensor by serial line interface.
In step S1,3/4ths zone line is set is exposure measuring and calculating zone.In step S2, according to different scene fine setting pattern average brightness, such as the 12bit pixel value, the pattern average brightness is 1280 so.
In addition; high-definition camera system of the prior art is more and more higher to the requirement of wide dynamically (HDR/WDR); and the good transducer of cost performance itself does not have the wide dynamic ability of supporting at present; so the user can improve the frame per second of obtaining image usually; such as being 30Hz originally, the user rises to 60Hz with frame per second now, adopts overexposure and owes to expose to the sun to operate twice; then with two width of cloth image co-registration, to reach the wide dynamic images of 30Hz.Under static shooting target, this scheme is feasible, if but monitoring objective is moving, and mobile speed has surpassed the response speed of 60Hz, the so this wide dynamic approach of taking two frames to merge will obtain the image of serious smear, has affected greatly the video monitoring quality.
In order to solve the serious problem of image streaking, image processing method of the present invention comprises that also image color draws high method, and this image color draws high method and the exposure adjustment processing method is finished in same frame.
As shown in Figure 3, draw high at image color and comprise following two steps in the method:
The bright dark distribution situation of the scope of each pixel point value of step Q1. statistical picture, judgement entire image;
The ratio that step Q2. selects image color to draw high according to the bright dark distribution situation of entire image.In step Q2, take the data of 12bit bit wide as the basis, drawing high desired value is 8bit.The section of drawing high is 3 sections, and the ratio that draws high is difference along with the different light environment.
The average brightness that exposure measuring and calculating zone obtains is in conjunction with the parameter of the average brightness selection exposure of view picture picture, and the corresponding ratio that draws high that arranges.
The present invention passes through FPGA unit performing step S1 to step S3.
Simultaneously, in same frame, the scope of the value of each pixel of statistical picture is mainly judged the bright dark distribution situation of entire image with this, with this ratio of selecting image color to draw high.Equally, just can draw assessed value in two field picture the inside.Because any sub-picture has the ranks blanking zone, so with the single clock disposal ability of FPGA unit, draw a conclusion in the horizontal blanking district of last several row of image, and parameter is assigned to lower width of cloth image.
In conjunction with the Total tune that exposes and color draws high, will give lower two field picture with good processing.Reach higher picture quality.
The present invention adopts the FPGA unit to realize that present frame calculates, and present frame is provided exposure and the wide method that dynamically draws high, give the next frame image response, will greatly promote the speed of exposure response, and the dynamic range of the image that greatly stretched can not brought any smear effect simultaneously.
The invention discloses a kind of image processing system, comprising: acquisition module is used for the regional average brightness that obtains video data of exposure measuring and calculating at video data; Comparison module is used for average brightness and pattern average brightness and compares; Transport module, the exposure parameter after being used for changing transfers to imageing sensor.
Described acquisition module comprises: statistical module is used for all rgb values at exposure measuring and calculating range statistics video data; Computing module is for the average brightness that then all rgb value additions is obtained video data divided by the pixel number.
Above content is the further description of the present invention being done in conjunction with concrete preferred implementation, can not assert that implementation of the present invention is confined to these explanations.For the general technical staff of the technical field of the invention, without departing from the inventive concept of the premise, can also make some simple deduction or replace, all should be considered as belonging to protection scope of the present invention.
Claims (7)
1. an image processing method is characterized in that, comprises image exposure adjustment processing method, and this image exposure is adjusted processing method and comprised the steps:
A. obtain the average brightness of video data in the exposure measuring and calculating zone of video data;
B. average brightness and pattern average brightness compare, such as average brightness less than the pattern average brightness, increase exposure parameter and execution in step C so; Such as average brightness greater than the pattern average brightness, reduce exposure parameter and execution in step C so; Identical with the pattern average brightness such as average brightness, do not change exposure parameter so;
C. the exposure parameter after will changing transfers to imageing sensor.
2. image processing method according to claim 1 is characterized in that, comprises the steps: in described steps A
A1. calculate all rgb values of range statistics video data in exposure;
A2. then all rgb value additions are obtained the average brightness of video data divided by the pixel number.
3. image processing method according to claim 2 is characterized in that, in described steps A 1, by FPGA unit all rgb values at exposure measuring and calculating range statistics video data.
4. image processing method according to claim 3 is characterized in that, in described step C, the exposure parameter after the change is transferred to imageing sensor by serial line interface.
5. according to claim 1 to 4 each described image processing methods, it is characterized in that this image processing method comprises that also image color draws high method, this image color draws high method and the exposure adjustment processing method is finished in same frame;
Draw high in the method at image color and to comprise the steps:
(1). the bright dark distribution situation of the scope of each pixel point value of statistical picture, judgement entire image;
(2) ratio of selecting image color to draw high according to the bright dark distribution situation of entire image.
6. an image processing system is characterized in that, comprising:
Acquisition module is used for the regional average brightness that obtains video data of exposure measuring and calculating at video data;
Comparison module is used for average brightness and pattern average brightness and compares;
Transport module, the exposure parameter after being used for changing transfers to imageing sensor.
7. image processing system according to claim 6 is characterized in that, described acquisition module comprises:
Statistical module is used for all rgb values at exposure measuring and calculating range statistics video data;
Computing module is for the average brightness that then all rgb value additions is obtained video data divided by the pixel number.
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| CN2012103400717A CN102984463A (en) | 2012-09-14 | 2012-09-14 | Method and system for image processing |
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| CN105374022A (en) * | 2014-08-26 | 2016-03-02 | 联想(北京)有限公司 | Image data processing method and electronic device |
| CN107071260A (en) * | 2016-11-29 | 2017-08-18 | 努比亚技术有限公司 | A kind of filming apparatus and method, and terminal device |
| CN107888839A (en) * | 2017-10-30 | 2018-04-06 | 广东欧珀移动通信有限公司 | High-dynamic-range image acquisition method, device and equipment |
| CN108593958A (en) * | 2017-12-15 | 2018-09-28 | 北京航空航天大学 | The synchronous method and apparatus for obtaining gas-particle two-phase Velocity Field of Flow |
| CN108810509A (en) * | 2018-07-06 | 2018-11-13 | 北京中安未来科技有限公司 | A kind of image color correction method and device |
| CN112567730A (en) * | 2020-05-28 | 2021-03-26 | 深圳市大疆创新科技有限公司 | Exposure control method, device, equipment, movable platform and storage medium |
| CN112687211A (en) * | 2020-12-11 | 2021-04-20 | 合肥维信诺科技有限公司 | Method and device for measuring smear of display panel and storage medium |
| CN113329188A (en) * | 2021-05-07 | 2021-08-31 | 浙江大华技术股份有限公司 | Exposure control method and device, electronic equipment and storage medium |
| CN116977214A (en) * | 2023-07-21 | 2023-10-31 | 萱闱(北京)生物科技有限公司 | Image optimization method, device, medium and computing equipment |
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| CN105374022A (en) * | 2014-08-26 | 2016-03-02 | 联想(北京)有限公司 | Image data processing method and electronic device |
| CN107071260A (en) * | 2016-11-29 | 2017-08-18 | 努比亚技术有限公司 | A kind of filming apparatus and method, and terminal device |
| CN107888839A (en) * | 2017-10-30 | 2018-04-06 | 广东欧珀移动通信有限公司 | High-dynamic-range image acquisition method, device and equipment |
| CN107888839B (en) * | 2017-10-30 | 2019-12-06 | Oppo广东移动通信有限公司 | high dynamic range image acquisition method, device and equipment |
| CN108593958A (en) * | 2017-12-15 | 2018-09-28 | 北京航空航天大学 | The synchronous method and apparatus for obtaining gas-particle two-phase Velocity Field of Flow |
| CN108593958B (en) * | 2017-12-15 | 2019-12-10 | 北京航空航天大学 | Method and device for synchronously acquiring gas-solid two-phase flow velocity field |
| CN108810509A (en) * | 2018-07-06 | 2018-11-13 | 北京中安未来科技有限公司 | A kind of image color correction method and device |
| CN108810509B (en) * | 2018-07-06 | 2020-08-11 | 北京中安未来科技有限公司 | Image color correction method and device |
| CN112567730A (en) * | 2020-05-28 | 2021-03-26 | 深圳市大疆创新科技有限公司 | Exposure control method, device, equipment, movable platform and storage medium |
| CN112687211A (en) * | 2020-12-11 | 2021-04-20 | 合肥维信诺科技有限公司 | Method and device for measuring smear of display panel and storage medium |
| CN113329188A (en) * | 2021-05-07 | 2021-08-31 | 浙江大华技术股份有限公司 | Exposure control method and device, electronic equipment and storage medium |
| CN116977214A (en) * | 2023-07-21 | 2023-10-31 | 萱闱(北京)生物科技有限公司 | Image optimization method, device, medium and computing equipment |
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