CN108900783A - A kind of automatic explosion method suitable for big temperature difference operative scenario - Google Patents
A kind of automatic explosion method suitable for big temperature difference operative scenario Download PDFInfo
- Publication number
- CN108900783A CN108900783A CN201811021167.0A CN201811021167A CN108900783A CN 108900783 A CN108900783 A CN 108900783A CN 201811021167 A CN201811021167 A CN 201811021167A CN 108900783 A CN108900783 A CN 108900783A
- Authority
- CN
- China
- Prior art keywords
- exposure
- time
- image
- tit
- target light
- 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.)
- Granted
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
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/73—Circuitry for compensating brightness variation in the scene by influencing the exposure time
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Studio Devices (AREA)
- Exposure Control For Cameras (AREA)
Abstract
A kind of automatic explosion method suitable for big temperature difference operative scenario, a nanosecond exposure image is realized by FPGA High-speed Control timing, the gray average of the width image is as background gray scale, the acquisition of real-time background gray scale is realized, by the step so as to avoid influence of the background gray scale to linearity section in variation of ambient temperature.Meanwhile this method judges whether the image of current exposure time is in the linearity range of exposure, to take different exposure calculating formula, the target light exposure time is calculated by one linear zone decision threshold of setting.
Description
Technical field
The present invention relates to a kind of automatic explosion methods suitable for big temperature difference operative scenario, more particularly in deep space exploration and
The automatic explosion method of big temperature difference operative scenario, belongs to automatic exposure technical field in earth extreme temperature environment scientific exploration.
Background technique
Camera acquires source as an intuitive effective data, in various aerospace deep space explorations and earth extreme environment
Scientific exploration in have be widely applied.Image information is timely and effectively obtained in order to realize, camera needs to have automatic exposure
Ability.In deep space exploration and earth extreme environment application scenarios, camera local environment temperature becomes during detection mission
It is larger to change range.Since camera subject size and power consumption etc. limit in deep space exploration and earth extreme temperature environment scientific exploration,
Camera operating temperature range can not be guaranteed using the technological means of thermal control, and the imaging detector background gray scale that camera is selected is by ring
Border temperature is affected, and has a significant impact to camera imaging characteristic tool.Therefore, for deep space exploration and earth extreme environment field
Jing Zhong, camera automatic exposure need to meet the application of big temperature difference environment when being imaged.And the automatic exposure of existing camera is calculated at present
Method does not adapt to the situation for causing background gray difference larger due to temperature change.
Summary of the invention
Present invention solves the technical problem that being:It has overcome the deficiencies of the prior art and provide a kind of suitable for the work of the big temperature difference
The automatic explosion method of scene solves the problems, such as that conventional auto exposure method does not adapt to big temperature difference operative scenario.
The technical solution of the invention is as follows:A kind of automatic explosion method suitable for big temperature difference operative scenario, including such as
Lower step:
S1, camera shoots piece image using the nanosecond time for exposure, using the width image grayscale mean value as background gray scale
Gd;
S2, camera shoot image according to current exposure time Ti0, and calculating image grayscale mean value is Gm;The current exposure
The initial value of time Ti0 is the default time for exposure of setting;
S3 calculates Gm-Gd, if G0<Gm-Gd<G1, then target light exposure time Tit is the time for exposure of current taken image,
Camera is taken pictures according to target light exposure time Tit;Otherwise, into S4;Described G0, G1 are respectively the image grayscale mean value set
Cross dark threshold value and the excessively bright threshold value of image grayscale mean value;
S4, if Ga≤Gm-Gd, update target light exposure time Tit is Tit=(Gt-Gd)/(Gm-Gd) * Ti0;If Ga>Gm-
Gd, update target light exposure time Tit are Tit=2*Ti0;The Ga is the linearity area decision threshold of setting;Wherein, Gt is
The gray average of ROI region on image;
S5 shoots image according to the target light exposure time Tit of update, updates image grayscale mean value Gm, return to S3.
Preferably, the G0<Gt<G1.
Preferably, the nanosecond time for exposure is 5~25ns.
Preferably, the nanosecond time for exposure is controlled by FPGA and is realized.
Further, the FPGA is A3PE3000L-1FG484M.
Preferably, target light exposure time Tit is 0.01ms~655.36ms.
The advantages of the present invention over the prior art are that:
(1) method for obtaining camera background gray scale in real time is proposed, the background ash in variation of ambient temperature is eliminated
Spend the influence calculated automatic exposure.It is big to meet environment range of temperature in the application such as deep space exploration and earth extreme environment
The influence that caused image background gray difference calculates automatic exposure.
(2) by setting exposure linear zone decision threshold, by actinograph point counting be linear zone and inelastic region, thus
Take different calculation methods that the target light exposure time is calculated, automatic exposure calculating is more accurate, reduces what automatic exposure calculated
The number of iterations, the time required to reducing automatic exposure.
Detailed description of the invention
Fig. 1 show automatic explosion method block diagram of the invention;
Fig. 2 show automatic explosion method control flow chart of the invention.
Specific embodiment
As shown in Figure 1, the technical solution of the invention is as follows:Realize that a nanosecond exposes by FPGA High-speed Control timing
Light imaging, the gray average of the width image realize the acquisition of real-time background gray scale by the step as background gray scale, thus
Avoid influence of the background gray scale to linearity section in variation of ambient temperature.Meanwhile this method passes through setting one
Linear zone decision threshold, judges whether the image of current exposure time is in the linearity range of exposure, to take different exposures
The target light exposure time is calculated in calculation formula.This method includes that steps are as follows:
(1) a nanosecond exposure image, the gray average conduct of the width image are realized by FPGA High-speed Control timing
Camera background gray scale;
(2) sub-picture is shot by the time for exposure of camera current setting, calculates the average gray of the width image, the figure
As gray scale is denoted as present frame average gray;
Present frame average gray is subtracted into camera background gray scale, gray scale difference value is compared with expected intensity value ranges, poor
Value is in desired extent, then automatic exposure success, the time for exposure of current setting is the required automatic exposure time;Difference exists
Outside desired extent, then need to judge whether the image of current exposure time is in the linear of exposure using linear zone decision threshold
Section, to take different exposure calculating formula, is calculated the target light exposure time.
The specific implementation step that the present invention will now be explained with reference to the accompanying drawings:
First just like giving a definition:
1) 0 time for exposure:The nanosecond time for exposure realized using FPGA High-speed Control, since the time far smaller than exposes
Equivalent is controlled between light time, therefore the time for exposure was denoted as 0 time for exposure;
2) current exposure time Ti0:Ti0 is the current exposure register of FPGA internal register real-time update, camera weight
Newly power on and reset after, Ti0 be ground setting the default time for exposure, automatic exposure start calculate when, Ti0 for camera last
The time for exposure set when subnormal work, during automatic exposure calculates, Ti0 is upper piece image meter when automatic exposure calculates
Obtained target light exposure time Tit.
3) image object mean value Gt:For the gray average of ROI region;
4) the excessively bright threshold value G1 of image mean value:Mean value upper limit when automatic exposure, should be greater than Gt;
5) the excessively bright threshold value G0 of image mean value:Mean value lower limit when automatic exposure, should be less than Gt;
6) linearity area decision threshold Ga;
7) image dark background is Gd;
8) the target light exposure time is Tit.
As shown in Fig. 2, steps are as follows for automatic explosion method of the present invention:
1) one width of image is shot according to 0 time for exposure, which is background gray scale Gd;
2) one width of image is shot according to current exposure time Ti0, calculating image mean value is Gm;
3) difference for calculating Gm-Gd, works as Gm-Gd>When G1, determines that image is excessively bright, the time for exposure should be reduced, work as Gm-Gd<
G0 determines that image is excessively dark, should increase the time for exposure.
4) Gm-Gd is calculated, and comparing for Ga, as Ga≤Gm-Gd, camera work is in linearity range, then target light exposure time
It is calculated as:
Tit=(Gt-Gd)/(Gm-Gd) * Ti0
Work as Gm-Gd<Ga, camera work in non-linear section, then the target light exposure time is calculated as:
Tit=2*Ti0,
5) step 4) is repeated, when Gm-Gd meets G0<Gm-Gd<When G1, automatic exposure success.
The automatic explosion method is realized using FPGA, wherein spectrum assignment FPGA is Flash type low-power consumption FPGA,
The A3PE3000L-1FG484M of its model Microsemi company.
Realize that automatic exposure time counting, automatic exposure time equivalent are using 16 digit counters inside the FPGA
0.01ms, therefore the automatic exposure time range is 0.01ms~655.36ms.
0 time for exposure that the FPGA is realized is 25ns, is much smaller than camera normal imaging exposure time range.
The content that description in the present invention is not described in detail belongs to the well-known technique of those skilled in the art.
Claims (6)
1. a kind of automatic explosion method suitable for big temperature difference operative scenario, it is characterised in that:Include the following steps:
S1, camera shoots piece image using the nanosecond time for exposure, using the width image grayscale mean value as background gray scale Gd;
S2, camera shoot image according to current exposure time Ti0, and calculating image grayscale mean value is Gm;The current exposure time
The initial value of Ti0 is the default time for exposure of setting;
S3 calculates Gm-Gd, if G0<Gm-Gd<G1, then target light exposure time Tit is the time for exposure of current taken image, camera
It takes pictures according to target light exposure time Tit;Otherwise, into S4;Described G0, G1 are respectively that the image grayscale mean value of setting is excessively dark
Threshold value and the excessively bright threshold value of image grayscale mean value;
S4, if Ga≤Gm-Gd, update target light exposure time Tit is Tit=(Gt-Gd)/(Gm-Gd) * Ti0;If Ga>Gm-Gd,
Update target light exposure time Tit is Tit=2*Ti0;The Ga is the linearity area decision threshold of setting;Wherein, Gt is figure
As the gray average of upper ROI region;
S5 shoots image according to the target light exposure time Tit of update, updates image grayscale mean value Gm, return to S3.
2. automatic explosion method according to claim 1, it is characterised in that:The G0<Gt<G1.
3. automatic explosion method according to claim 1, it is characterised in that:The nanosecond time for exposure be 5~
25ns。
4. automatic explosion method according to claim 1, it is characterised in that:The nanosecond time for exposure is controlled by FPGA
System is realized.
5. automatic explosion method according to claim 4, it is characterised in that:The FPGA is A3PE3000L-
1FG484M。
6. automatic explosion method according to claim 1, it is characterised in that:Target light exposure time Tit is 0.01ms
~655.36ms.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811021167.0A CN108900783B (en) | 2018-09-03 | 2018-09-03 | Automatic exposure method suitable for large-temperature-difference working scene |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811021167.0A CN108900783B (en) | 2018-09-03 | 2018-09-03 | Automatic exposure method suitable for large-temperature-difference working scene |
Publications (2)
Publication Number | Publication Date |
---|---|
CN108900783A true CN108900783A (en) | 2018-11-27 |
CN108900783B CN108900783B (en) | 2020-11-10 |
Family
ID=64359612
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811021167.0A Active CN108900783B (en) | 2018-09-03 | 2018-09-03 | Automatic exposure method suitable for large-temperature-difference working scene |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108900783B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113194226A (en) * | 2021-04-13 | 2021-07-30 | 中山大学 | TOF imaging system capable of automatically adjusting exposure time and automatic exposure method thereof |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20100328482A1 (en) * | 2009-06-26 | 2010-12-30 | Samsung Electronics Co., Ltd. | Digital photographing apparatus, method of controlling the digital photographing apparatus, and recording medium storing program to implement the method |
CN104539852A (en) * | 2014-12-26 | 2015-04-22 | 中国科学院西安光学精密机械研究所 | Instantaneous automatic exposure method suitable for instantaneous highlight scene |
JP2015122569A (en) * | 2013-12-20 | 2015-07-02 | キヤノン株式会社 | Imaging apparatus, control method therefor and program |
CN105847706A (en) * | 2016-04-07 | 2016-08-10 | 广东欧珀移动通信有限公司 | Method and device for dynamically adjusting exposure |
CN106713778A (en) * | 2016-12-28 | 2017-05-24 | 上海兴芯微电子科技有限公司 | Exposure control method and device |
CN108337443A (en) * | 2018-01-16 | 2018-07-27 | 深圳市捷高电子科技有限公司 | A method of based on exposure value and scene learning algorithm control IRCUT and infrared lamp |
-
2018
- 2018-09-03 CN CN201811021167.0A patent/CN108900783B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20100328482A1 (en) * | 2009-06-26 | 2010-12-30 | Samsung Electronics Co., Ltd. | Digital photographing apparatus, method of controlling the digital photographing apparatus, and recording medium storing program to implement the method |
JP2015122569A (en) * | 2013-12-20 | 2015-07-02 | キヤノン株式会社 | Imaging apparatus, control method therefor and program |
CN104539852A (en) * | 2014-12-26 | 2015-04-22 | 中国科学院西安光学精密机械研究所 | Instantaneous automatic exposure method suitable for instantaneous highlight scene |
CN105847706A (en) * | 2016-04-07 | 2016-08-10 | 广东欧珀移动通信有限公司 | Method and device for dynamically adjusting exposure |
CN106713778A (en) * | 2016-12-28 | 2017-05-24 | 上海兴芯微电子科技有限公司 | Exposure control method and device |
CN108337443A (en) * | 2018-01-16 | 2018-07-27 | 深圳市捷高电子科技有限公司 | A method of based on exposure value and scene learning algorithm control IRCUT and infrared lamp |
Non-Patent Citations (1)
Title |
---|
岳涛等: """嫦娥二号"卫星CMOS相机技术及应用"", 《航天返回与遥感》 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113194226A (en) * | 2021-04-13 | 2021-07-30 | 中山大学 | TOF imaging system capable of automatically adjusting exposure time and automatic exposure method thereof |
Also Published As
Publication number | Publication date |
---|---|
CN108900783B (en) | 2020-11-10 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104184958B (en) | Automatic exposure control method and device based on FPGA (field programmable Gate array) and suitable for space detection imaging | |
CN105164550B (en) | Range unit and distance measuring method | |
CN101783888A (en) | Automatic exposure method based on class histogram | |
CN104604214B (en) | Method and apparatus for producing shooting image | |
US20180302543A1 (en) | Hdr/wdr image time stamps for sensor fusion | |
CN107124561A (en) | A kind of bar code image exposure adjustment system and method based on CMOS | |
CN109510949B (en) | Camera automatic exposure method based on effective brightness of image feature points | |
CN104539852B (en) | Instantaneous automatic exposure method suitable for instantaneous highlight scene | |
JP2009225346A (en) | Program, device, and method for correcting image | |
CN103324033A (en) | Exposure method and exposure system | |
CN108900783A (en) | A kind of automatic explosion method suitable for big temperature difference operative scenario | |
CN109116197B (en) | Solar blind ultraviolet camera and ultraviolet photon counting method | |
CN106657803A (en) | Automatic exposure method for high-speed camera applied to electro-optic theodolite | |
CN102209202B (en) | Gamma correction curve extraction method for camera | |
CN118280238B (en) | Gamma detection method, device and storage medium in display Demura process | |
CN101281437B (en) | Method for regulating optical indication device image quality controlling parameter | |
CN111798484B (en) | Continuous dense optical flow estimation method and system based on event camera | |
CN108230334A (en) | The method of high concentration dust storm image segmentation based on gray threshold | |
CN108551555B (en) | Automatic exposure method of industrial camera using CMOS detector | |
JP2005354199A5 (en) | ||
CN107864317A (en) | A kind of transient state based on decay mask is imaged dynamic rage extension method | |
Zhang et al. | An image acquisition scheme for visual odometry based on image bracketing and online attribute control | |
KR20100125983A (en) | Method and camera device for camera gain control and shutter speed control by measuring skin brightness | |
CN114697483A (en) | Device and method for shooting under screen based on compressed sensing white balance algorithm | |
CN118154699B (en) | Calibration method, image afterglow correction method, device 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 | ||
GR01 | Patent grant | ||
GR01 | Patent grant |