CN108234895B - Automatic exposure adjusting method and system for segmented exposure imaging - Google Patents
Automatic exposure adjusting method and system for segmented exposure imaging Download PDFInfo
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- 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
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- 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
- H04N23/741—Circuitry for compensating brightness variation in the scene by increasing the dynamic range of the image compared to the dynamic range of the electronic image sensors
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
- H04N25/50—Control of the SSIS exposure
- H04N25/53—Control of the integration time
- H04N25/533—Control of the integration time by using differing integration times for different sensor regions
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
- H04N25/50—Control of the SSIS exposure
- H04N25/57—Control of the dynamic range
- H04N25/58—Control of the dynamic range involving two or more exposures
- H04N25/587—Control of the dynamic range involving two or more exposures acquired sequentially, e.g. using the combination of odd and even image fields
- H04N25/589—Control of the dynamic range involving two or more exposures acquired sequentially, e.g. using the combination of odd and even image fields with different integration times, e.g. short and long exposures
Abstract
The invention provides a method and a system for automatic exposure adjustment of sectional exposure imaging, wherein the method comprises the following steps: setting initial values of time T1 of the first exposure section and total time T of the two exposure sections aiming at the first exposure section and the second exposure section in the exposure process; counting the average brightness Ya of the image, the proportion K% of the non-overexposure area in the image and the average brightness Yk of the non-overexposure area; comparing the average brightness Yk of the non-overexposure area with a target brightness value range, and adjusting the total time T according to a comparison result; comparing the proportion K% of the non-overexposed area in the image with the overexposure ratio beta%: if K% is larger than beta%, comparing the average brightness Ya of the image with the target brightness value range, and continuously adjusting the total time T according to the comparison result; otherwise, the average brightness Ya of the image is compared with the target brightness value range, and the time T1 is adjusted according to the comparison result. The automatic exposure adjusting method and system for the segmented exposure imaging prevent overexposure and improve the overall contrast of the image.
Description
Technical Field
The invention relates to the technical field of image processing, in particular to a method and a system for automatic exposure adjustment of sectional exposure imaging.
Background
The exposure mode of the common image sensor is single-stage exposure, and the dynamic range is relatively small. At present, one type of image sensor adopts a segmented exposure mode, responds to light irradiation in two or more segments, and can improve the dynamic range. Referring to fig. 1, taking two-stage exposure as an example, in the range of total exposure time T ', two integration times are divided into 0-T1' and T1 '-T', the saturation value is limited to V1 '(defined by the manufacturing process) in the first stage exposure time period 0-T1', and the exposure is continued in the second stage exposure time period T1 '-T'. For weak light, in the time period of 0-T1 ', the exposure value does not reach the saturation value V1 ', so the exposure is always carried out in the whole time T ', and the exposure value is a line b in the image; for strong light, there may be a time point in 0-T1 ' when T1 ' is not reached and the exposure value has reached the saturation value V1 ', at which point the value will not increase further during this period until exposure continues for the time T1 ' -T2 ', the exposure value line a in the image. This is also true for multi-segment exposures, where there is a possibility that the exposure value is leveled for a period of time without increasing before each segment point. Strong light and weak light can be distinguished by whether the exposure value will appear at adjacent segment points for a period of time.
Whether the exposure time of each section is proper in the exposure process has great influence on the final imaging effect, the dynamic range of the image is limited by saturation, the contrast of the image is reduced, the exposure information cannot be completely displayed, the image cannot be overexposed, and therefore the exposure time needs to be adjusted.
Disclosure of Invention
The invention aims to solve the technical problem of providing a method and a system for adjusting the automatic exposure of the sectional exposure imaging, which can prevent overexposure and improve the overall contrast of an image.
In order to solve the above problems, the present invention provides an automatic exposure adjustment method for segmented exposure imaging, comprising the following steps:
s1: setting initial values of time T1 of the first exposure section and total time T of the two exposure sections aiming at the first exposure section and the second exposure section in the exposure process;
s2: carrying out exposure under the condition, and counting the average brightness Ya of the image, the proportion K% of the non-overexposed area in the image and the average brightness Yk of the non-overexposed area;
s3: comparing the average brightness Yk of the non-overexposure area with a target brightness value range, and adjusting the total time T of the two sections of exposure sections according to the comparison result;
s4: comparing the proportion K% of the non-overexposed area in the image with the overexposure ratio beta%:
if the proportion K% of the non-overexposure area in the image is greater than the overexposure ratio beta%, comparing the average brightness Ya of the image with the target brightness value range, and continuously adjusting the total time T of the two sections of exposure sections according to the comparison result;
otherwise, the average brightness Ya of the image is compared with the target brightness value range, and the time T1 of the first exposure segment is adjusted according to the comparison result.
According to an embodiment of the present invention, the step S3, adjusting the total time T of the two segments of exposure according to the comparison result includes: if the average brightness Yk of the non-overexposure area is smaller than the minimum value of the target brightness value range, the total time T of the two sections of exposure sections is increased, and if the average brightness Yk of the non-overexposure area is larger than the maximum value of the target brightness value range, the total time T of the two sections of exposure sections is decreased.
According to an embodiment of the present invention, the step S4, the continuously adjusting the total time T of the two exposure segments according to the comparison result includes: if the average brightness Ya of the image is smaller than the minimum value of the target brightness value range, the total time T of the two exposure sections is increased, and if the average brightness Ya of the image is larger than the maximum value of the target brightness value range, the total time T of the two exposure sections is decreased.
According to an embodiment of the present invention, the adjusting the time T1 of the first exposure period according to the comparison result in the step S4 includes: if the average brightness Ya of the image is larger than the maximum value of the target brightness value range, the time T1 of the first exposure section is increased, the total time T of the two exposure sections is kept unchanged, and if the average brightness Ya of the image is smaller than the minimum value of the target brightness value range, the time T1 of the first exposure section is decreased, and the total time T of the two exposure sections is kept unchanged.
In accordance with one embodiment of the present invention,
after the execution of the step S4 is finished, the step S2 is returned to and executed continuously until the average brightness Yk of the non-overexposed region is adjusted to fall within the target brightness value range in the step S3 and the average brightness Ya of the image is adjusted to fall within the target brightness value range in the step S4;
or, in the step S3, the comparison and the adjustment are repeated until the average brightness Yk of the non-overexposed region falls within the target brightness value range; and, in step S4, the comparison and adjustment are repeated until the average brightness Ya of the image is adjusted to fall within the target brightness value range.
According to an embodiment of the present invention, when the number of the exposure segments of the entire exposure process is two, the initial values of the time T1 of the first exposure segment and the total time T of the exposure process are set for the two exposure segments in the step S1, and the subsequent steps are performed to complete the exposure adjustment;
and when the number of the exposure segments in the whole exposure process is more than two segments, selecting the last two exposure segments, executing the step S1, based on the adjusted exposure process, moving one exposure segment from back to front, selecting the corresponding two exposure segments, and executing the step S1, and repeating the steps until all the exposure segments are adjusted.
According to an embodiment of the present invention, the target luminance value ranges from (1-alpha) Yt to (1+ alpha) Yt; wherein Yt is a target brightness value; alpha is an allowable error range and takes a value of 0-0.05.
According to an embodiment of the present invention, in the step S1, the initial value of the time T1 of the first exposure period is set to 0, and the initial value of the total time T of the two exposure periods is set to default values.
According to an embodiment of the present invention, the overexposure ratio beta% takes a value of 80% to 100%.
The invention also provides a sectional exposure imaging automatic exposure adjusting system, which comprises:
an initial setting module: setting initial values of time T1 of the first exposure section and total time T of the two exposure sections aiming at the first exposure section and the second exposure section in the exposure process;
an exposure statistics module: carrying out exposure under the condition, and counting the average brightness Ya of the image, the proportion K% of the non-overexposed area in the image and the average brightness Yk of the non-overexposed area;
a first adjustment module: comparing the average brightness Yk of the non-overexposure area with a target brightness value range, and adjusting the total time T of the two sections of exposure sections according to the comparison result;
a second adjustment module: comparing the proportion K% of the image of the non-overexposed area with the overexposure ratio beta%:
if the proportion K% of the non-overexposure area in the image is greater than the overexposure ratio beta%, comparing the average brightness Ya of the image with the target brightness value range, and continuously adjusting the total time T of the two sections of exposure sections according to the comparison result;
otherwise, the average brightness Ya of the image is compared with the target brightness value range, and the time T1 of the first exposure segment is adjusted according to the comparison result.
After the technical scheme is adopted, compared with the prior art, the invention has the following beneficial effects:
in the invention, exposure adjustment is carried out by setting two adjustment stages, in the first adjustment stage, the influence of the total time T on the average brightness of the image is adjusted, so that the condition that the non-overexposure area of the image is too dark is avoided, and in the second adjustment stage, the two stages of exposure time are adjusted according to the overexposure degree, on one hand, the influence of the total time T on the average brightness of the non-overexposure area is adjusted, on the other hand, the influence of the time T1 of the first exposure stage on the average brightness of the non-overexposure area is adjusted, so that the original contrast of the non-overexposure area is kept while the overexposure area is adjusted, and the overall contrast and dynamic range of the image are enhanced.
Drawings
FIG. 1 is a schematic view of an exposure line for a current two-stage exposure imaging;
FIG. 2 is a flowchart illustrating an automatic exposure adjustment method for segmented exposure imaging according to an embodiment of the present invention;
fig. 3 is a flowchart illustrating an automatic exposure adjustment method for segmented exposure imaging according to another embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein, but rather construed as limited to the embodiments set forth herein.
Referring to fig. 2, in one embodiment, a segmented exposure imaging auto-exposure adjustment method includes the steps of:
s1: setting initial values of time T1 of the first exposure section and total time T of the two exposure sections aiming at the first exposure section and the second exposure section in the exposure process;
s2: carrying out exposure under the condition, and counting the average brightness Ya of the image, the proportion K% of the non-overexposed area in the image and the average brightness Yk of the non-overexposed area;
s3: comparing the average brightness Yk of the non-overexposure area with a target brightness value range, and adjusting the total time T of the two sections of exposure sections according to the comparison result;
s4: comparing the proportion K% of the non-overexposed area in the image with the overexposure ratio beta%:
if the proportion K% of the non-overexposure area in the image is greater than the overexposure ratio beta%, comparing the average brightness Ya of the image with the target brightness value range, and continuously adjusting the total time T of the two sections of exposure sections according to the comparison result;
otherwise, the average brightness Ya of the image is compared with the target brightness value range, and the time T1 of the first exposure segment is adjusted according to the comparison result.
The following is a description of the method for adjusting the automatic exposure in the segmented exposure imaging according to the embodiment of the present invention, but the method is not limited thereto, and may be applied to an image sensor adopting a segmented exposure mode, and may be divided into two-segment exposure or into multiple-segment (more than three-segment) exposure, specifically, without limitation.
Steps S1-S4 are performed for each of the two exposure segments in the exposure process, so that if the exposure process is divided into two exposures, the selected first exposure segment and the second exposure segment together constitute the entire exposure process; and if the exposure process is divided into a plurality of exposure sections, the selected first exposure section and the second exposure section are two of the two exposure sections in the whole exposure process.
In step S1, for the first exposure segment and the second exposure segment in the exposure process, the initial values of the time T1 of the first exposure segment and the total time T of the two segments of exposure segments are set. The first exposure segment precedes the second exposure segment, and is temporally subsequent thereto.
Preferably, in the step S1, the initial value of the time T1 of the first exposure period is set to 0, and the initial value of the total time T of the two exposure periods is set to a default value. Obviously, T is greater than T1 (both represent the time length, and of course, in the case of the exposure process divided into two segments, both may also represent the end-of-segment time), and the default value may be a default value initially set, may be set as required, or may be a value updated on the basis of the previous adjustment. It will be appreciated that the time T1 of the first exposure period may also be set to other initial values.
And step 2 is executed, exposure is carried out under the condition of the exposure time set in step 1, a corresponding exposure image is obtained, and the average brightness Ya of the image, the proportion K% of the non-overexposed area in the image and the average brightness Yk of the non-overexposed area are counted. The non-overexposure area, i.e. the pixel point set with the luminance value less than 255, can be determined by judging the luminance value of each pixel point. The average brightness Ya of the image is the average value of the brightness values of all the pixel points of the image. The average brightness Yk of the non-overexposure area is the average value of the brightness values of the pixel points of the non-overexposure area.
Then, step S3 is executed to compare the average brightness Yk of the non-overexposed region with the target brightness value range, and adjust the total time T of the two exposure segments according to the comparison result. The non-overexposed area may have too dark brightness, and the problem of too dark non-overexposed area can be solved by comparing and adjusting the total time T.
Preferably, in step S3, the adjusting the total time T of the two exposure segments according to the comparison result includes: if the average brightness Yk of the non-overexposure area is smaller than the minimum value of the target brightness value range, the total time T of the two sections of exposure sections is increased, and if the average brightness Yk of the non-overexposure area is larger than the maximum value of the target brightness value range, the total time T of the two sections of exposure sections is decreased. The increment and the decrement of each time can be set, so that the adjustment can be finished without one time, and the whole process is a loop process for adjusting feedback.
Next, step S4 is executed to compare the ratio K% of the non-overexposed area to the image with the overexposed ratio beta%, according to the difference of the comparison results. The two exposure times can be adjusted differently according to the degree of overexposure.
The overexposure ratio may be determined as desired. Preferably, the value of the overexposure ratio beta% is 80% -100%, so that the overexposure degree can be better distinguished.
If the proportion K% of the non-overexposure area in the image is larger than the overexposure ratio beta%, the scene overexposure ratio is smaller, namely the proportion of the non-overexposure area is larger, the exposure time T is continuously adjusted, the average brightness Ya of the image is compared with the target brightness value range, and the total time T of the two sections of exposure sections is continuously adjusted according to the comparison result.
Preferably, in step S4, the step of continuously adjusting the total time T of the two exposure segments according to the comparison result includes: if the average brightness Ya of the image is smaller than the minimum value of the target brightness value range, the total time T of the two exposure sections is increased, and if the average brightness Ya of the image is larger than the maximum value of the target brightness value range, the total time T of the two exposure sections is decreased.
Otherwise, the overexposure ratio is larger and the overexposure degree is heavier, the time T1 of the first exposure segment is adjusted to solve the overexposure problem, the average brightness Ya of the image is compared with the target brightness value range, and the time T1 of the first exposure segment is adjusted according to the comparison result. Of course, the total time T of the two exposure segments remains unchanged as the time T1 of the first exposure segment is adjusted.
Preferably, the adjusting the time T1 of the first exposure period according to the comparison result in the step S4 includes: if the average brightness Ya of the image is larger than the maximum value of the target brightness value range, the time T1 of the first exposure section is increased, the total time T of the two exposure sections is kept unchanged, and if the average brightness Ya of the image is smaller than the minimum value of the target brightness value range, the time T1 of the first exposure section is decreased, and the total time T of the two exposure sections is kept unchanged.
Preferably, the target brightness value range is (1-alpha) Yt to (1+ alpha) Yt; wherein Yt is a target brightness value; alpha is an allowable error range and takes a value of 0-0.05. That is, (1+ alpha) Yt is the maximum value of the target luminance value range, and (1-alpha) Yt is the minimum value of the target luminance value range.
In one embodiment, the execution of step S4 is ended, and the step S2 is returned to, and the execution is continued until the average brightness Yk of the non-overexposed region is adjusted to fall within the target brightness value range in step S3 and the average brightness Ya of the image is adjusted to fall within the target brightness value range in step S4. Every time the steps S2-S4 are executed, the adjustment of the total time T of the two exposure segments or the time T1 of the first exposure segment is made for the current exposure condition, the actual condition of the exposure adjustment is reflected by the next exposure, and then the appropriate adjustment is carried out, so that the steps S2 are returned to continue to be executed to gradually approach the optimal exposure condition.
Or, in the step S3, the comparison and the adjustment are repeated until the average brightness Yk of the non-overexposed region falls within the target brightness value range; and, in step S4, the comparison and adjustment are repeated until the average brightness Ya of the image is adjusted to fall within the target brightness value range.
Referring to fig. 3, an example of a flow chart of a segmented exposure imaging auto-exposure adjustment method is given. Firstly, setting a time T1 as 0, and setting the total time T as a default value; then entering a first adjusting stage, comparing the average brightness Yk of the non-overexposure area with a target brightness range, if Yk is smaller than (1-alpha) Yt, increasing the exposure time T, judging once every time of adjustment until Yk is adjusted to be not smaller than (1-alpha) Yt, if Yk is larger than (1+ alpha) Yt, reducing the total time T, judging once every time of adjustment until Yk is adjusted to be not larger than (1-alpha) Yt, and indicating that Yk meets the target brightness range, and executing the next step; and then entering a second adjusting stage, comparing the proportion K% of the non-overexposure area to the image with the overexposure ratio beta%, if the proportion K% is greater than beta%, judging that the scene overexposure ratio is smaller, and continuously adjusting the total time T to enable the Ya to meet the target brightness Yt, wherein the description is omitted, otherwise, adjusting the time T1 to enable the Ya to meet the target brightness range, wherein the adjusting mode is similar to that of adjusting Yk, namely if the Ya is greater than (1+ alpha) Yt, increasing T1, and if the Ya is less than (1-alpha) Yt, reducing T1.
In one embodiment, when the number of exposure segments of the whole exposure process is two, there are only two exposure segments, and thus the adjustment is completed for the two exposure segments. The initial values of the time T1 of the first exposure segment and the total time T of the exposure process are set for the two exposure segments in the step S1, and the subsequent steps are performed to complete the exposure adjustment without changing the exposure segment to continue the execution.
And when the number of the exposure segments in the whole exposure process is more than two segments, selecting the last two exposure segments, executing the step S1, based on the adjusted exposure process, moving one exposure segment from back to front, selecting the corresponding two exposure segments, and executing the step S1, and repeating the steps until all the exposure segments are adjusted. That is, when the steps S1-S4 are performed for the first time, the two selected exposure segments are the last two exposure segments in the exposure process, and when the steps S1-S4 are performed for the second time, the two selected exposure segments are the 2 nd from last exposure segment and the 3 rd from last exposure segment in the exposure process, and the two selected exposure segments are sequentially moved forward by analogy in the following steps until all the exposure segments are processed, so that the exposure adjustment is completed.
The whole automatic exposure adjusting method for the segmented exposure imaging can be realized by processing through a corresponding program built in the image imaging device, and the adjustment of the image exposure time can be automatically realized.
The invention also provides a sectional exposure imaging automatic exposure adjusting system, which comprises:
an initial setting module: setting initial values of time T1 of the first exposure section and total time T of the two exposure sections aiming at the first exposure section and the second exposure section in the exposure process;
an exposure statistics module: carrying out exposure under the condition, and counting the average brightness Ya of the image, the proportion K% of the non-overexposed area in the image and the average brightness Yk of the non-overexposed area;
a first adjustment module: comparing the average brightness Yk of the non-overexposure area with a target brightness value range, and adjusting the total time T of the two sections of exposure sections according to the comparison result;
a second adjustment module: comparing the proportion K% of the image of the non-overexposed area with the overexposure ratio beta%:
if the proportion K% of the non-overexposure area in the image is greater than the overexposure ratio beta%, comparing the average brightness Ya of the image with the target brightness value range, and continuously adjusting the total time T of the two sections of exposure sections according to the comparison result;
otherwise, the average brightness Ya of the image is compared with the target brightness value range, and the time T1 of the first exposure segment is adjusted according to the comparison result.
For details of the segmented exposure imaging automatic exposure adjustment system according to the embodiment of the present invention, reference may be made to the description of the segmented exposure imaging automatic exposure adjustment method in the foregoing embodiment, and details are not repeated here.
Although the present invention has been described with reference to the preferred embodiments, it is not intended to limit the scope of the claims, and those skilled in the art can make various changes and modifications without departing from the spirit and scope of the invention.
Claims (7)
1. A sectional exposure imaging automatic exposure adjusting method is characterized by comprising the following steps:
s1: setting the initial value of the time T1 of the first exposure segment and the total time T of the two exposure segments aiming at the first exposure segment and the second exposure segment in the exposure process, wherein the first exposure segment precedes the second exposure segment, and the first exposure segment and the second exposure segment are continuous in time;
s2: carrying out exposure under the condition, and counting the average brightness Ya of the image, the proportion K% of a non-overexposed area in the image and the average brightness Yk of the non-overexposed area, wherein the non-overexposed area is a pixel point set with a brightness value smaller than 255;
s3: comparing the average brightness Yk of the non-overexposure area with a target brightness value range, and adjusting the total time T of the two sections of exposure sections according to the comparison result, wherein the steps comprise: if the average brightness Yk of the non-overexposure area is smaller than the minimum value of the target brightness value range, increasing the total time T of the two sections of exposure sections, and if the average brightness Yk of the non-overexposure area is larger than the maximum value of the target brightness value range, reducing the total time T of the two sections of exposure sections;
s4: comparing the proportion K% of the non-overexposure area in the image with the overexposure ratio beta%, wherein the value of the overexposure ratio beta% is set according to the requirement:
if the proportion K% of the non-overexposure area in the image is greater than the overexposure ratio beta%, comparing the average brightness Ya of the image with the target brightness value range, and continuously adjusting the total time T of the two sections of exposure sections according to the comparison result, wherein the steps comprise: if the average brightness Ya of the image is smaller than the minimum value of the target brightness value range, the total time T of the two sections of exposure sections is increased, and if the average brightness Ya of the image is larger than the maximum value of the target brightness value range, the total time T of the two sections of exposure sections is reduced;
otherwise, comparing the average brightness Ya of the image with the target brightness value range, and adjusting the time T1 of the first exposure segment according to the comparison result, including: if the average brightness Ya of the image is larger than the maximum value of the target brightness value range, the time T1 of the first exposure section is increased, the total time T of the two exposure sections is kept unchanged, and if the average brightness Ya of the image is smaller than the minimum value of the target brightness value range, the time T1 of the first exposure section is decreased, and the total time T of the two exposure sections is kept unchanged.
2. The segmented exposure imaging auto exposure adjustment method of claim 1,
after the execution of the step S4 is finished, the step S2 is returned to and executed continuously until the average brightness Yk of the non-overexposed region is adjusted to fall within the target brightness value range in the step S3 and the average brightness Ya of the image is adjusted to fall within the target brightness value range in the step S4;
or, in the step S3, the comparison and the adjustment are repeated until the average brightness Yk of the non-overexposed region falls within the target brightness value range; and, in step S4, the comparison and adjustment are repeated until the average brightness Ya of the image is adjusted to fall within the target brightness value range.
3. The segmented exposure imaging auto exposure adjustment method according to any one of claims 1 to 2,
when the number of the exposure segments in the whole exposure process is two, setting the initial value of the time T1 of the first exposure segment and the total time T of the exposure process for the two exposure segments in the step S1, and performing the subsequent steps to complete the exposure adjustment;
and when the number of the exposure segments in the whole exposure process is more than two segments, selecting the last two exposure segments, executing the step S1, based on the adjusted exposure process, moving one exposure segment from back to front, selecting the corresponding two exposure segments, and executing the step S1, and repeating the steps until all the exposure segments are adjusted.
4. The method of claim 1-2, wherein the target brightness value ranges from (1-alpha) Yt to (1+ alpha) Yt; wherein Yt is a target brightness value; alpha is an allowable error range and takes a value of 0-0.05.
5. The segmented exposure imaging automatic exposure adjustment method according to any one of claims 1 to 2, wherein in the step S1, the initial value of the time T1 of the first exposure segment is set to 0, and the initial value of the total time T of the two exposure segments is set to a default value.
6. The method for adjusting the automatic exposure of the segmented exposure imaging according to any one of claims 1-2, wherein the overexposure ratio beta% takes a value of 80% -100%.
7. A segmented exposure imaging auto-exposure adjustment system, comprising:
an initial setting module: setting the initial values of the time T1 of the first exposure segment and the total time T of the two exposure segments aiming at the first exposure segment and the second exposure segment in the exposure process, wherein the first exposure segment precedes the second exposure segment and is continuous in time;
an exposure statistics module: carrying out exposure under the condition, and counting the average brightness Ya of the image, the proportion K% of a non-overexposed area in the image and the average brightness Yk of the non-overexposed area, wherein the non-overexposed area is a pixel point set with a brightness value smaller than 255;
a first adjustment module: comparing the average brightness Yk of the non-overexposure area with a target brightness value range, and adjusting the total time T of the two exposure sections according to the comparison result, wherein the steps comprise: if the average brightness Yk of the non-overexposure area is smaller than the minimum value of the target brightness value range, increasing the total time T of the two sections of exposure sections, and if the average brightness Yk of the non-overexposure area is larger than the maximum value of the target brightness value range, reducing the total time T of the two sections of exposure sections;
a second adjustment module: and comparing the proportion K% of the non-overexposure area in the image with the overexposure ratio beta%, wherein the value of the overexposure ratio beta% is set according to the requirement:
if the proportion K% of the non-overexposure area in the image is greater than the overexposure ratio beta%, comparing the average brightness Ya of the image with the target brightness value range, and continuously adjusting the total time T of the two sections of exposure sections according to the comparison result, wherein the steps comprise: if the average brightness Ya of the image is smaller than the minimum value of the target brightness value range, the total time T of the two sections of exposure sections is increased, and if the average brightness Ya of the image is larger than the maximum value of the target brightness value range, the total time T of the two sections of exposure sections is reduced;
otherwise, comparing the average brightness Ya of the image with the target brightness value range, and adjusting the time T1 of the first exposure segment according to the comparison result, including: if the average brightness Ya of the image is larger than the maximum value of the target brightness value range, the time T1 of the first exposure section is increased, the total time T of the two exposure sections is kept unchanged, and if the average brightness Ya of the image is smaller than the minimum value of the target brightness value range, the time T1 of the first exposure section is decreased, and the total time T of the two exposure sections is kept unchanged.
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| CN108900785A (en) * | 2018-09-18 | 2018-11-27 | Oppo广东移动通信有限公司 | Exposal control method, device and electronic equipment |
| CN110753189B (en) * | 2019-12-25 | 2020-05-19 | 武汉精立电子技术有限公司 | Camera image capturing method and system |
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