CN102223486A - Low-illumination camera imaging control method and device, camera system - Google Patents
Low-illumination camera imaging control method and device, camera system Download PDFInfo
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- CN102223486A CN102223486A CN201110157094XA CN201110157094A CN102223486A CN 102223486 A CN102223486 A CN 102223486A CN 201110157094X A CN201110157094X A CN 201110157094XA CN 201110157094 A CN201110157094 A CN 201110157094A CN 102223486 A CN102223486 A CN 102223486A
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Abstract
The invention relates to a low-illumination camera imaging control method, comprising the steps of: reading image frame data from an imaging and digitalizing component; computing gray distribution and statistical characteristic of the image according to the image frame data, and determining the shutter speed and the charge automatic gain adjustment level according to the gray distribution and the statistical characteristic; transforming and/or translating the histogram of the image according to the image frame data, and determining the image frame integration time according to the gray distribution range; determining the control mode corresponding to the adjustment sequence of the parameters according to the gray distribution and the statistical characteristic; and adjusting the parameters of the image frame integration time, the electronic shutter speed and the charge automatic gain adjustment level determined in the steps according to the determined control mode. The invention further relates to a low-illumination camera imaging control system. According to the invention, the camera can be ensured to be adapted to the change of a low-illumination work environment, the imaging quality and contrast of the image are improved, and synchronously highlights appeared in the work environment can be inhibited.
Description
Technical field
The present invention relates to a kind of low-illuminance cameras image formation control method, device and camera system.
Background technology
The night vision camera machine can utilize it can expand people's the observation ability of eyes under faint light photograph illumination conditions widely to target imaging under extremely low illumination conditions as a kind of special nighttime imaging system.The signal noise ratio (snr) of image of night vision camera machine is very low generally speaking, especially ought be operated in the following of detectable range and prescribe a time limit, and picture signal may be flooded by noise.But have under the situation of high light in the night vision video camera operational environment, but cause the saturated and distortion of image extremely easily.
According to the correlation of inter frame image signal and the irrelevance theory of noise, the frame integration can improve the signal to noise ratio of night vision camera effectively, improves the quality of image.But in specific occasions, may meet with high light, adopt simple frame integration method then can cause the saturation distortion of image.
Therefore, need to guarantee that target image can strengthen under the low-light (level), and can suppress high light.If the night vision camera machine satisfies imaging under above-mentioned two kinds of conditions, will expand the range of application of night vision camera greatly.
Present night vision camera machine all has electronic shutter usually, the function of automatic gain and light integration if parameter setting is comparatively suitable, then may satisfy above-mentioned two kinds of conditions as far as possible, but in the practical application, the parameter of this set can not automatically adjust according to view data.In other words, along with the content of the modified-image of scene is also changing at any time, fixing parameter setting then may cause image quality decrease or cause the image saturation distortion, how to adjust imaging parameters in good time automatically and realizes that imaging effect seems particularly important best.
In addition, the technological means that suppresses high light at present adopts electromechanical assembly to realize, also the low light level has also been filtered out in the filtering high light, and imaging effect is caused harmful effect.
Summary of the invention
The object of the present invention is to provide a kind of low-illuminance cameras image formation control method, device and camera system, guarantee that camera can adapt to the operational environment variation of low-light (level), improve image imaging quality and contrast, the high light that can suppress to occur in the operational environment again simultaneously.
For achieving the above object, the invention provides a kind of low-illuminance cameras image formation control method, comprising:
Reading images frame data from imaging and digitlization parts;
According to the intensity profile and the statistical nature of described image frame data computed image, determine electronic shutter speed and electric charge automatic gain adjustment rank according to described intensity profile and statistical nature;
According to described image frame data the histogram of image is carried out conversion and/or translation, and determine picture frame time of integration according to the intensity profile scope;
Determine that according to described intensity profile and statistical nature picture frame time of integration, electronic shutter speed and electric charge automatic gain adjust the corresponding control model of other adjustment order of level;
Carry out the picture frame time of integration, electronic shutter speed and other parameter adjustment of electric charge automatic gain adjustment level that above-mentioned steps is determined according to the control model of determining.
Further, with described from imaging and digitlization parts the operation of reading images frame data specifically comprise:
From imaging and digitlization parts reading images frame data, and write buffer;
When calculating, read the image frame data of described buffer buffer memory successively from buffer.
Further, describedly specifically comprise according to the intensity profile of image frame data computed image and the operation of statistical nature:
Calculate first ratio of the highlighted part gray scale and the dark part gray scale number of described image frame data;
The highlighted part gray scale of calculating described image frame data accounts for second ratio of entire image gray scale;
Determine the entire scope of described first ratio according to described second ratio, and judge the corresponding grade of described first ratio in described entire scope.
Further, describedly the histogram of image is carried out conversion and/or translation, and determines that according to the intensity profile scope operation of picture frame time of integration specifically comprises according to image frame data:
Set up the intensity profile histogram according to described image frame data;
Carry out greyscale transformation according to the intensity profile in the described intensity profile histogram and calculate, gradation of image is distributed to the direction translation of low gray value, then described intensity profile histogram is carried out equalization;
The ratio that occupies full dynamic range according to the intensity profile in the intensity profile histogram of equalization is determined the frame number that can accumulate, and then definite picture frame time of integration.
Further, describedly determine that according to intensity profile and statistical nature the operation of electronic shutter speed specifically comprises:
Select the electronic shutter speed of this grade correspondence according to first ratio of determining corresponding electronic shutter speed grade in entire scope;
Judge whether the current definite electronic shutter speed and the difference of previous electronic shutter speed surpass predetermined threshold value, be to determine that then electronic shutter speed is current definite electronic shutter speed, otherwise return from the step of buffer reading images frame data, read next image frame data, and redefine electronic shutter speed.
Further, describedly determine that according to intensity profile and statistical nature other operation of electric charge automatic gain adjustment level specifically comprises:
Adjust the electric charge automatic gain adjustment amount that rank is selected this rank correspondence according to first ratio of determining corresponding electric charge automatic gain in entire scope;
Judge whether the current definite electric charge automatic gain adjustment amount and the difference of previous electric charge automatic gain adjustment amount surpass predetermined threshold value, be to determine that then electric charge automatic gain adjustment amount is current definite electric charge automatic gain adjustment amount, otherwise return from the step of buffer reading images frame data, read next image frame data, and redefine electric charge automatic gain adjustment rank.
Further, describedly determine that according to intensity profile and statistical nature the operation of the control model that picture frame time of integration, electronic shutter speed and other adjustment order of electric charge automatic gain adjustment level are corresponding specifically comprises:
Determine whether there is intense light source in the image according to first ratio of determining corresponding rank in entire scope, be then to determine to carry out earlier an electronic shutter speed and other adjustment of electric charge automatic gain adjustment level, after carry out the adjustment of picture frame time of integration the corresponding control model of adjustment order, otherwise determine to carry out earlier the picture frame adjustment of the time of integration, after carry out the corresponding control model of adjustment order that electronic shutter speed and electric charge automatic gain are adjusted other adjustment of level;
Judge whether current definite control model is inequality with previous control model, be to determine that then control model is current definite control model, otherwise return from the step of buffer reading images frame data, read next image frame data, and redefine control model.
Further, described imaging and digitlization parts are CCD image device and digitlization parts or cmos imaging device and digitlization parts.
For achieving the above object, the invention provides a kind of low-illuminance cameras imaging control apparatus, comprising:
The buffer of the image frame data that preservation is read from imaging and digitlization parts;
According to the intensity profile of described image frame data computed image and the computing unit of statistical nature;
Determine the shutter speed determining unit of electronic shutter speed according to described intensity profile and statistical nature;
Determine other gain adjustment rank determining unit of electric charge automatic gain adjustment level according to described intensity profile and statistical nature;
According to described image frame data the histogram of image is carried out conversion and/or translation, and determine the picture frame determining unit time of integration of the time of integration according to the intensity profile scope;
Determine that according to described intensity profile and statistical nature picture frame time of integration, electronic shutter speed and electric charge automatic gain adjust the control model determining unit of the corresponding control model of other adjustment order of level;
Adjust the parameter adjustment performance element of other parameter adjustment of level according to the definite picture frame time of integration, electronic shutter speed and the electric charge automatic gain of determining of control model execution above-mentioned steps.
Further, described computing unit specifically comprises:
Calculate the first ratio calculation subelement of first ratio of the highlighted part gray scale of described image frame data and dark part gray scale number;
The highlighted part gray scale of calculating described image frame data accounts for the second ratio calculation subelement of second ratio of entire image gray scale;
Determine the entire scope of described first ratio according to described second ratio, and judge that the grade of the corresponding grade of described first ratio in described entire scope determines subelement.
For achieving the above object, the present invention also provides a kind of camera system with aforementioned low-illuminance cameras imaging control apparatus, also comprises:
Camera lens,
Image device,
Pixel transmission and control unit have analog-to-digital conversion module, are used for the image that image device is taken is carried out analog-to-digital conversion, and are saved in the buffer.
Further, described image device is an electrooptical device.
Preferably, described electrooptical device is CCD image device or cmos imaging device.
Based on technique scheme, the present invention utilizes the intensity profile statistical property of frame image data dynamically to adjust influencing the Imaging for Control parameter, automatically the illumination conditions that adapts to operational environment, avoid causing picture quality can not cause image fault along with illumination change because camera parameters is fixed; And the intensity profile statistical property of utilizing frame image data is determined the adjustment order of Control Parameter, be suppressed at and occur the saturated and situation of distortion of image that high light causes under the environment of low-light (level), by balance high light and low-light (level), optimize picture quality and improve picture contrast.
Description of drawings
Accompanying drawing described herein is used to provide further understanding of the present invention, constitutes the application's a part, and illustrative examples of the present invention and explanation thereof are used to explain the present invention, do not constitute improper qualification of the present invention.In the accompanying drawings:
Fig. 1 is the flow chart of an embodiment of low-illuminance cameras image formation control method of the present invention.
Fig. 2 determines the schematic diagram of flow process the time of integration for adaptive frame among the low-illuminance cameras image formation control method embodiment of the present invention.
Fig. 3 determines the schematic diagram of flow process for electronic shutter speed among the low-illuminance cameras image formation control method embodiment of the present invention.
Fig. 4 adjusts the schematic diagram of rank flow process for determining the electric charge automatic gain among the low-illuminance cameras image formation control method embodiment of the present invention.
Fig. 5 is for determining the schematic diagram of control model flow process among the low-illuminance cameras image formation control method embodiment of the present invention.
Fig. 6 is the structural representation of an embodiment of low-illuminance cameras imaging control apparatus of the present invention.
Fig. 7 is the structural representation of an embodiment of camera system of the present invention.
Embodiment
Below by drawings and Examples, technical scheme of the present invention is described in further detail.
As shown in Figure 1, be the flow chart of an embodiment of low-illuminance cameras image formation control method of the present invention.In the present embodiment, the flow process of low-illuminance cameras image formation control method comprises:
The control model that step 103, basis are determined is carried out the picture frame time of integration, electronic shutter speed and electric charge automatic gain adjustment grade other parameter adjustment that above-mentioned steps is determined.
In the present embodiment, electronic shutter speed, electric charge automatic gain adjust rank and control model all can be determined by gray distribution of image and statistical nature, and the computational process of gray distribution of image and statistical nature can be calculated respectively, also can shared same data.
In the step 101 of present embodiment, the process of reading images frame data can specifically comprise from imaging and digitlization parts reading images frame data in imaging and the digitlization parts (for example CCD image device and digitlization parts or cmos imaging device and digitlization parts etc.), and writes buffer; When calculating, read the image frame data of described buffer buffer memory successively from buffer.Be in course of adjustment, just can realize the dynamically definite and adjustment process of the Control Parameter that continues by the image frame data that reads the buffer internal memory successively.
Given execution sequence is 102a-102d in Fig. 1, but in fact these four steps do not need to be defined as certain specific time sequencing, for example can carry out 102d earlier, again execution in step 102b, 102a, 102c etc. other, also allowing any two or more steps in these four steps to carry out simultaneously, also can be that each step is according to adjusting among step the opportunity of shared identical data.
Four kinds of Control Parameter have been related generally in the present embodiment, except three kinds of concrete adjustment parameters, also introduced the parameter of control model, order to three kinds of parameter adjustment is controlled, wherein adapting to image frame integration is in order to increase light application time, making increases the time of electric charge accumulation under low-light (level), effectively improve the signal to noise ratio of night vision camera, improves the quality of image.Electronic shutter is the size that changes light-inletting quantity, by changing light-inletting quantity and then improving the quality of image.The adjusting of electric charge automatic gain is to change the electric charge that accumulates after the photoelectric effect to amplify degree, and then improves the quality of image.Control model is to consider that different control sequence will cause different imaging effects, generally speaking, the preferential frame integration that uses improves signal to noise ratio, improve the quality of image, carry out the adjustment of electronic shutter and electric charge automatic gain again, but exist under the situation of high light, use the frame integration then can cause the saturated of high light earlier, causing image fault on the contrary.Then be more suitable for adjusting earlier electronic shutter and electric charge automatic gain this moment and suppress high light, carry out the frame integration again and improve picture quality.
Present embodiment by the calculating of image frame data is determined respectively under the practical application variation the picture frame time of integration that image was fit to, electronic shutter speed and electric charge automatic gain adjustment rank, and the adjustment of these three kinds of Control Parameter order, thereby can under the practical application of complexity, realize the balance of high light and low-light (level), optimize the low-light (level) image quality in images, improve picture contrast.
As shown in Figure 2, determine the schematic diagram of flow process the time of integration for adaptive frame among the low-illuminance cameras image formation control method embodiment of the present invention.In the present embodiment, adaptive frame determines that flow process specifically comprises the time of integration:
In step 205, calculating this picture frame after the time of integration, also will carry out comparing the time of integration,, be lower than threshold value, then need not frequently to adjust if variation is very little with the picture frame that adopts before.
Provided a kind of picture frame definite method of the time of integration in the present embodiment, other existing picture frames determine that method is applicable to the present invention too the time of integration, for example, the mode of look-up table be can adopt, image averaging gray value and the corresponding relation look-up table between the time of integration set up in advance by experiment.In actual application, earlier with gathering first two field picture a fixing time of integration, calculate image information, then according to look-up table, system will directly be adjusted to gathers second two field picture proper time of integration, as output image.Whole process need is regulated once or several times just can obtain proper result the time of integration.Here just no longer described in detail.
As shown in Figure 3, determine the schematic diagram of flow process for electronic shutter speed among the low-illuminance cameras image formation control method embodiment of the present invention.Determine that in the present embodiment electronic shutter speed flow process comprises:
The highlighted part gray scale of step 303, the described image frame data of calculating accounts for second ratio of entire image gray scale;
First ratio that step 305, basis are determined corresponding electronic shutter speed grade in entire scope is selected the electronic shutter speed of this grade correspondence;
In the present embodiment, need to determine the entire scope of first ratio, this is to consider when image constantly changes, the approximate range of the number of monochrome pixels is uncertain, in order to determine the pairing grade of first ratio of present image, therefore to determine gamut earlier, and scope really rule specifically determine by second ratio, for instance, monochrome pixels ratio (first ratio) statistics is 300: 40, then highlighted part is 40: 340 with second ratio of the gray scale of entire image, again by second ratio and predetermined threshold value (for example 20% etc.) are compared, can determine that highlighted part is few, not need to adopt high-grade measure to suppress high light, and then can determine that gamut is 500: 100; And if monochrome pixels ratio statistics is 500: 300, then highlighted part is 300: 800 with second ratio of the gray scale of entire image, again by second ratio and predetermined threshold value (still with 20% etc. be example) are compared, illustrate that then highlighted part is more, need to adopt high-grade measure to suppress high light, and then can determine that gamut is 800: 500.
The concrete grade and the corresponding relation of Control Parameter can pre-determine and preserve according to historical data, so that select corresponding Control Parameter by definite grade when determining Control Parameter at every turn.This mode not only can be carried out that parameter is selected and determines according to the regular information in the historical data, also makes parameter select and determine more quick simultaneously.
Same, provided definite method of a kind of electronic shutter time in the present embodiment, other existing electronic shutter times determine that method is applicable to the present invention too, for example, can adopt the rate of change of pixel value in the computed image to determine to adopt different electronic shutter grades, the rate of change of each pixel value characterizes the speed feature of moving target.The expression moving target ratio that the pixel value rate of change is big is very fast, needs electronic shutter faster, otherwise just easy formation smear.Otherwise just cause overexposure easily.Here just no longer described in detail.
As shown in Figure 4, for determining the schematic diagram of electric charge automatic gain adjustment rank flow process among the low-illuminance cameras image formation control method embodiment of the present invention.
The highlighted part gray scale of step 403, the described image frame data of calculating accounts for second ratio of entire image gray scale;
First ratio that step 405, basis are determined corresponding electric charge automatic gain in entire scope is adjusted the electric charge automatic gain adjustment amount that rank is selected this rank correspondence;
In the present embodiment, entire scope determines and can determine process in the flow process just to have repeated no more here with reference to the electronic shutter time.And the determined grade of step 402-405 can directly apply to definite process of electronic shutter time in the present embodiment, the determined grade of step 302-305 in the affirmation process of same electronic shutter time also can directly apply to the electric charge automatic gain and adjust definite process, the especially electronic shutter of grade and electric charge automatic gain and adjust when grade has the grade of equal number and be more suitable for adopting.
Same, provide a kind of electric charge automatic gain in the present embodiment and adjusted definite method of grade, other existing charge automatic gains are adjusted grade and are determined that method is applicable to the present invention too, for example, can recently adjust automatic gain according to the noise of image and adjust grade.Every two field picture is calculated its signal to noise ratio, the signal to noise ratio size of two two field pictures before and after comparing, the big more picture quality of the numerical value of signal to noise ratio is good more.If the signal to noise ratio of image progressively increases, can progressively reduce the automatic gain grade of image, same, signal to noise ratio progressively reduces, the automatic gain grade of the image that can progressively raise.Here just no longer described in detail.
As shown in Figure 5, for determining the schematic diagram of control model flow process among the low-illuminance cameras image formation control method embodiment of the present invention.In the present embodiment, control model determines that flow process comprises:
The highlighted part gray scale of step 503, the described image frame data of calculating accounts for second ratio of entire image gray scale;
The change of control model can change the speed of improvement of picture quality and the degree of improvement, provided a kind of definite method of concrete control model in the present embodiment, mainly be the control model of determining to select this grade correspondence by grade, in addition the predetermined threshold value that also can determine by second ratio and according to historical data relatively come determine between picture frame integration and the electronic shutter speed parameter adjustment in proper order.
One of ordinary skill in the art will appreciate that: all or part of step that realizes said method embodiment can be finished by the relevant hardware of program command, aforesaid program can be stored in the computing equipment read/write memory medium, this program is carried out the step that comprises said method embodiment when carrying out; And aforesaid storage medium comprises: various media that can be program code stored such as ROM, RAM, magnetic disc or CD.
As shown in Figure 6, be the structural representation of an embodiment of low-illuminance cameras imaging control apparatus of the present invention.In the present embodiment, the low-illuminance cameras imaging control apparatus comprises: rank determining unit 14, time of integration determining unit 15, control model determining unit 16 and parameter adjustment performance element 17 are adjusted in buffer 11, computing unit 12, shutter speed determining unit 13, gain.Wherein, buffer 11 is responsible for preserving the image frame data that reads from imaging and digitlization parts.Intensity profile and statistical nature that computing unit 12 is responsible for according to described image frame data computed image.Shutter speed determining unit 13 is responsible for determining electronic shutter speed according to described intensity profile and statistical nature.Gain adjust rank determining unit 14 be responsible for according to described intensity profile and statistical nature determine the electric charge automatic gain adjust level other.The time of integration, determining unit 15 was responsible for according to described image frame data the histogram of image being carried out conversion and/or translation, and determined picture frame time of integration according to the intensity profile scope.
Control model determining unit 16 is responsible for determining that according to described intensity profile and statistical nature picture frame time of integration, electronic shutter speed and electric charge automatic gain adjust the corresponding control model of other adjustment order of level.Parameter adjustment performance element 17 is responsible for adjusting other parameter adjustment of level according to the picture frame time of integration, electronic shutter speed and electric charge automatic gain that the control model execution above-mentioned steps of determining is determined.
When the present embodiment device is used in camera system, parameter adjustment performance element 17 can come specific implementation by image device, also can adopt outside hardware or software mode to realize, computing unit 12, shutter speed determining unit 13, gain adjust rank determining unit 14, the time of integration determining unit 15 and control model determining unit 16 also be can be arranged in the image device, perhaps mutual by media and camera lens and image device in the independent device mode.
In another device embodiment, computing unit 11 can specifically comprise: the first ratio calculation subelement, the second ratio calculation subelement and grade are determined subelement.The first ratio calculation subelement is responsible for calculating first ratio of the highlighted part gray scale and the dark part gray scale number of described image frame data.The highlighted part gray scale that the second ratio calculation subelement is responsible for calculating described image frame data accounts for second ratio of entire image gray scale.Grade determines that subelement is responsible for determining the entire scope of described first ratio according to described second ratio, and judges the corresponding grade of described first ratio in described entire scope.
As shown in Figure 7, be the structural representation of an embodiment of camera system of the present invention.In the present embodiment, the low-illuminance cameras imaging control apparatus in comprising previous embodiment, also comprise camera lens 2, image device 3 and pixel transmission and control unit 4.Wherein camera lens 2 can adopt various camera lens, for image device 3 provides illumination.Image device 3 can be electrooptical device, includes but not limited to CCD image device or cmos imaging device etc.Pixel transmission and control unit 4 have analog-to-digital conversion module, are used for the image that image device is taken is carried out analog-to-digital conversion, and are saved in the buffer 11.
By said method, Apparatus and system embodiment, the present invention not only can make camera can adapt to the operational environment of low-light (level), also can suppress the high light in the operational environment, problem that also can the filtering low light level when also having avoided simultaneously adopting electromechanical assembly to suppress high light.
Each embodiment all adopts the mode of going forward one by one to describe in this specification, and what each embodiment stressed all is and the difference of other embodiment that same or analogous part cross-references gets final product between each embodiment.For device embodiment, because it is similar substantially to method embodiment, so description is fairly simple, relevant part gets final product referring to the part explanation of method embodiment.
Should be noted that at last: above embodiment is only in order to illustrate that technical scheme of the present invention is not intended to limit; Although with reference to preferred embodiment the present invention is had been described in detail, those of ordinary skill in the field are to be understood that: still can make amendment or the part technical characterictic is equal to replacement the specific embodiment of the present invention; And not breaking away from the spirit of technical solution of the present invention, it all should be encompassed in the middle of the technical scheme scope that the present invention asks for protection.
Claims (13)
1. a low-illuminance cameras image formation control method is characterized in that, comprising:
Reading images frame data from imaging and digitlization parts;
According to the intensity profile and the statistical nature of described image frame data computed image, determine electronic shutter speed and electric charge automatic gain adjustment rank according to described intensity profile and statistical nature;
According to described image frame data the histogram of image is carried out conversion and/or translation, and determine picture frame time of integration according to the intensity profile scope;
Determine that according to described intensity profile and statistical nature picture frame time of integration, electronic shutter speed and electric charge automatic gain adjust the corresponding control model of other adjustment order of level;
Carry out the picture frame time of integration, electronic shutter speed and other parameter adjustment of electric charge automatic gain adjustment level that above-mentioned steps is determined according to the control model of determining.
2. method according to claim 1 is characterized in that, described from imaging and digitlization parts the operation of reading images frame data specifically comprise:
From imaging and digitlization parts reading images frame data, and write buffer;
When calculating, read the image frame data of described buffer buffer memory successively from buffer.
3. method according to claim 2 is characterized in that, describedly specifically comprises according to the intensity profile of image frame data computed image and the operation of statistical nature:
Calculate first ratio of the highlighted part gray scale and the dark part gray scale number of described image frame data;
The highlighted part gray scale of calculating described image frame data accounts for second ratio of entire image gray scale;
Determine the entire scope of described first ratio according to described second ratio, and judge the corresponding grade of described first ratio in described entire scope.
4. method according to claim 2 is characterized in that, describedly according to image frame data the histogram of image is carried out conversion and/or translation, and determines that according to the intensity profile scope operation of picture frame time of integration specifically comprises:
Set up the intensity profile histogram according to described image frame data;
Carry out greyscale transformation according to the intensity profile in the described intensity profile histogram and calculate, gradation of image is distributed to the direction translation of low gray value, then described intensity profile histogram is carried out equalization;
The ratio that occupies full dynamic range according to the intensity profile in the intensity profile histogram of equalization is determined the frame number that can accumulate, and then definite picture frame time of integration;
Whether the difference of judging current definite picture frame time of integration and previous picture frame time of integration surpasses predetermined threshold value, be to determine that then picture frame time of integration is current definite picture frame time of integration, otherwise return from the step of buffer reading images frame data, read next image frame data, and redefine picture frame time of integration.
5. method according to claim 3 is characterized in that, describedly determines that according to intensity profile and statistical nature the operation of electronic shutter speed specifically comprises:
Select the electronic shutter speed of this grade correspondence according to first ratio of determining corresponding electronic shutter speed grade in entire scope;
Judge whether the current definite electronic shutter speed and the difference of previous electronic shutter speed surpass predetermined threshold value, be to determine that then electronic shutter speed is current definite electronic shutter speed, otherwise return from the step of buffer reading images frame data, read next image frame data, and redefine electronic shutter speed.
6. method according to claim 3 is characterized in that, describedly determines that according to intensity profile and statistical nature other operation of electric charge automatic gain adjustment level specifically comprises:
Adjust the electric charge automatic gain adjustment amount that rank is selected this rank correspondence according to first ratio of determining corresponding electric charge automatic gain in entire scope;
Judge whether the current definite electric charge automatic gain adjustment amount and the difference of previous electric charge automatic gain adjustment amount surpass predetermined threshold value, be to determine that then electric charge automatic gain adjustment amount is current definite electric charge automatic gain adjustment amount, otherwise return from the step of buffer reading images frame data, read next image frame data, and redefine electric charge automatic gain adjustment rank.
7. method according to claim 3 is characterized in that, describedly determines that according to intensity profile and statistical nature the operation of the control model that picture frame time of integration, electronic shutter speed and other adjustment order of electric charge automatic gain adjustment level are corresponding specifically comprises:
Determine whether there is intense light source in the image according to first ratio of determining corresponding rank in entire scope, be then to determine to carry out earlier an electronic shutter speed and other adjustment of electric charge automatic gain adjustment level, after carry out the adjustment of picture frame time of integration the corresponding control model of adjustment order, otherwise determine to carry out earlier the picture frame adjustment of the time of integration, after carry out the corresponding control model of adjustment order that electronic shutter speed and electric charge automatic gain are adjusted other adjustment of level;
Judge whether current definite control model is inequality with previous control model, be to determine that then control model is current definite control model, otherwise return from the step of buffer reading images frame data, read next image frame data, and redefine control model.
8. according to the arbitrary described method of claim 1～7, it is characterized in that described imaging and digitlization parts are CCD image device and digitlization parts or cmos imaging device and digitlization parts.
9. a low-illuminance cameras imaging control apparatus is characterized in that, comprising:
The buffer of the image frame data that preservation is read from imaging and digitlization parts;
According to the intensity profile of described image frame data computed image and the computing unit of statistical nature;
Determine the shutter speed determining unit of electronic shutter speed according to described intensity profile and statistical nature;
Determine other gain adjustment rank determining unit of electric charge automatic gain adjustment level according to described intensity profile and statistical nature;
According to described image frame data the histogram of image is carried out conversion and/or translation, and determine the picture frame determining unit time of integration of the time of integration according to the intensity profile scope;
Determine that according to described intensity profile and statistical nature picture frame time of integration, electronic shutter speed and electric charge automatic gain adjust the control model determining unit of the corresponding control model of other adjustment order of level;
Adjust the parameter adjustment performance element of other parameter adjustment of level according to the definite picture frame time of integration, electronic shutter speed and the electric charge automatic gain of determining of control model execution above-mentioned steps.
10. device according to claim 9 is characterized in that, described computing unit specifically comprises:
Calculate the first ratio calculation subelement of first ratio of the highlighted part gray scale of described image frame data and dark part gray scale number;
The highlighted part gray scale of calculating described image frame data accounts for the second ratio calculation subelement of second ratio of entire image gray scale;
Determine the entire scope of described first ratio according to described second ratio, and judge that the grade of the corresponding grade of described first ratio in described entire scope determines subelement.
11. the camera system with claim 9 or 10 described low-illuminance cameras imaging control apparatus is characterized in that, also comprises:
Camera lens,
Image device,
Pixel transmission and control unit have analog-to-digital conversion module, are used for the image that image device is taken is carried out analog-to-digital conversion, and are saved in the buffer.
12. camera system according to claim 11 is characterized in that, described image device is an electrooptical device.
13. camera system according to claim 12 is characterized in that, described electrooptical device is CCD image device or cmos imaging device.
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| CN201110157094XA CN102223486B (en) | 2011-04-13 | 2011-06-13 | Low-illumination camera imaging control method and device, camera system |
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| CN103475821A (en) * | 2013-10-11 | 2013-12-25 | 中科院微电子研究所昆山分所 | Adjustment method based on automatic integration time of near infrared camera |
| CN104301619A (en) * | 2014-02-24 | 2015-01-21 | 凯迈（洛阳）测控有限公司 | Fast camera exposure time automatic adjusting method and device |
| CN104735358A (en) * | 2015-04-02 | 2015-06-24 | 西安电子科技大学 | Ultraviolet focal plane array drive time sequence generating device and method |
| CN103780845B (en) * | 2014-02-28 | 2016-08-31 | 金三立视频科技（深圳）有限公司 | Based on non-width dynamic high light suppressing method and device |
| CN106657827A (en) * | 2016-12-29 | 2017-05-10 | 山东神戎电子股份有限公司 | Near-infrared system and method for automatically adjusting integral time |
| CN106872142A (en) * | 2017-01-23 | 2017-06-20 | 西北核技术研究所 | The measuring method of image retention after a kind of cmos image sensor proton irradiation |
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| CN109379584A (en) * | 2018-11-26 | 2019-02-22 | 北京科技大学 | Camera system and image quality adjusting method under a kind of complex environment light application conditions |
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| CN103475821A (en) * | 2013-10-11 | 2013-12-25 | 中科院微电子研究所昆山分所 | Adjustment method based on automatic integration time of near infrared camera |
| CN103475821B (en) * | 2013-10-11 | 2017-01-25 | 中科院微电子研究所昆山分所 | Adjustment method based on automatic integration time of near infrared camera |
| CN104301619B (en) * | 2014-02-24 | 2018-01-26 | 凯迈（洛阳）测控有限公司 | A kind of quickly camera exposure time automatic adjusting method and device |
| CN104301619A (en) * | 2014-02-24 | 2015-01-21 | 凯迈（洛阳）测控有限公司 | Fast camera exposure time automatic adjusting method and device |
| CN103780845B (en) * | 2014-02-28 | 2016-08-31 | 金三立视频科技（深圳）有限公司 | Based on non-width dynamic high light suppressing method and device |
| CN104735358B (en) * | 2015-04-02 | 2018-03-27 | 西安电子科技大学 | Ultraviolet focal-plane array driver' s timing generating means and method |
| CN104735358A (en) * | 2015-04-02 | 2015-06-24 | 西安电子科技大学 | Ultraviolet focal plane array drive time sequence generating device and method |
| CN106657827A (en) * | 2016-12-29 | 2017-05-10 | 山东神戎电子股份有限公司 | Near-infrared system and method for automatically adjusting integral time |
| CN106872142A (en) * | 2017-01-23 | 2017-06-20 | 西北核技术研究所 | The measuring method of image retention after a kind of cmos image sensor proton irradiation |
| CN106872142B (en) * | 2017-01-23 | 2018-11-23 | 西北核技术研究所 | The measurement method of image retention after a kind of cmos image sensor proton irradiation |
| CN107462992A (en) * | 2017-08-14 | 2017-12-12 | 深圳创维新世界科技有限公司 | A kind of adjusting method for wearing display device, device and wear display device |
| CN108564537A (en) * | 2017-12-29 | 2018-09-21 | 珠海市君天电子科技有限公司 | Method, apparatus, electronic equipment and the medium of image procossing |
| CN108564537B (en) * | 2017-12-29 | 2022-08-26 | 北京乐蜜科技有限责任公司 | Image processing method, image processing device, electronic equipment and medium |
| CN109379584A (en) * | 2018-11-26 | 2019-02-22 | 北京科技大学 | Camera system and image quality adjusting method under a kind of complex environment light application conditions |
| CN110062168A (en) * | 2019-05-05 | 2019-07-26 | 北京七鑫易维信息技术有限公司 | Shooting parameter adjustment method, device, equipment and the medium of eye movement tracing equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN202190327U (en) | 2012-04-11 |
| CN102223486B (en) | 2013-07-17 |
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