CN109151256A - A kind of camera flashing removing method and device based on sensor detection - Google Patents
A kind of camera flashing removing method and device based on sensor detection Download PDFInfo
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- CN109151256A CN109151256A CN201811012976.5A CN201811012976A CN109151256A CN 109151256 A CN109151256 A CN 109151256A CN 201811012976 A CN201811012976 A CN 201811012976A CN 109151256 A CN109151256 A CN 109151256A
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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
- H04N23/80—Camera processing pipelines; Components thereof
- H04N23/81—Camera processing pipelines; Components thereof for suppressing or minimising disturbance in the image signal generation
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Abstract
The step of present invention provides the camera flashing removing method and device detected based on sensor, and method includes: S1, ambient light signal sampling;The step of S2, raw image data output;The step of S3, environment Optical Sampling signal extraction;The step that S4, environment optical flare frequency determine;S5, the step of camera frame per second is updated;S6, the frequency of exposure that the ambient light signal sampling row is updated according to the camera frame per second, and the step of returning to ambient light signal sampling.The light that the present invention realizes light interference and the superposition of a variety of flicker frequencies to a variety of flicker frequencies carries out AF panel, keeps video image stabilization, promotes picture quality.
Description
Technical field
The present invention relates to technical field of image processing more particularly to a kind of camera based on sensor detection to flash and eliminate
Method and device.
Background technique
Camera on automobile using more and more, such as rearview device for reverse, 360 panoramic looking-around devices, Streaming Media
Inside rear-view mirror, Streaming Media outside rear-view mirror, automobile data recorder etc..The development of automatic driving technology, anti-interference to camera have
Increasingly higher demands.The crossroad of urban road is covered with red street lamp, traffic monitoring lamp, when automobile stops at the parting of the ways
Or when slowly driving through, the flashing of light can interfere camera imaging, and video is caused the interference of water ripples shape occur,
And then lead to camera reduced performance.
The AF panel scheme of camera is only effective to 50Hz alternating current light at present, but city street lamp generally uses
LED light, xenon lamp, working frequency is in 100~200Hz etc., therefore camera is difficult to filter out such interference.
Therefore, the prior art is further improved.
Summary of the invention
The present invention provides a kind of camera flashing removing method and device based on sensor detection, it is intended to solve existing skill
The defects of art realizes that the light of light interference and the superposition of a variety of flicker frequencies to a variety of flicker frequencies carries out interference suppression
System keeps video image stabilization, promotes picture quality.
In order to achieve the above objectives, the technical solution used in the present invention are as follows:
One aspect of the present invention provides a kind of camera flashing removing method based on sensor detection, comprising:
The step of S1, ambient light signal sampling;
The step of S2, raw image data output;
The step of S3, environment Optical Sampling signal extraction;
The step that S4, environment optical flare frequency determine;
S5, the step of camera frame per second is updated;
S6, the frequency of exposure that the ambient light signal sampling row is updated according to the camera frame per second, and return to the ring
The step of border optical signal samples.
Specifically, the step of ambient light signal samples specifically includes: choosing camera sensing device and pixel column is not used
Wherein a line is sampled as ambient light signal and is gone, exposure synchronous with camera sensing device valid pixel row.
Specifically, the step of raw image data exports specifically includes: camera sensing device exports original graph line by line
As data, valid pixel and inactive pixels alternate intervals are transmitted.
Specifically, the step of environment Optical Sampling signal extraction specifically includes: extracting inactive pixels row, retains the nothing
The brightness value of pixel column is imitated, storage asks arithmetic average to obtain into brightness array, and by the brightness value of the inactive pixels row
Luminance mean value.
Specifically, the step that the environment optical flare frequency determines specifically includes:
S401, by each brightness value in the brightness array respectively compared with the luminance mean value, if the brightness value
Greater than the luminance mean value, then corresponding value of statistical indicant is 1, and otherwise corresponding value of statistical indicant is 0, and the value of statistical indicant is successively stored
To value of statistical indicant array;
S402, the quantity for recording consecutive identical value of statistical indicant are counted as peak valley, are successively stored and are counted in array;
S403, calculating environment optical flare frequency is counted according to the frequency of exposure of ambient light signal sampling row, the peak valley
Rate.
Specifically, described counted according to the frequency of exposure of ambient light signal sampling row, the peak valley calculates environment light
Flicker frequency includes:
S4031, the number that peak valley counts is determined.
S4032, each initial scintillation frequency of environment light is calculated.
S4033, arithmetic mean of instantaneous value is asked to obtain the environment optical flare frequency according to the environment light initial scintillation frequency
Rate.
Specifically, each initial scintillation frequency Mi=G/ of the environment light (J (2i)+J (2i+1)), wherein G indicates environment light
The frequency of exposure of signal sampling row, (n=[(k-2)/2], k indicate the number that peak valley counts, and [] indicates to be rounded by i=1,2 ... n
Number), (J (2i) indicates that the 2i peak valley counts, and J (2i+1) indicates that the 2i+1 peak valley counts.
Specifically, environment optical flare frequency M=(M1+M2+ ...+the Mn)/n, wherein n=[(k-2)/2], k indicate peak
The number that paddy counts, [] indicate round numbers.
Specifically, the step of update camera frame per second specifically includes:
S501, camera frame per second undetermined is determined according to the environment optical flare frequency and the initial frame per second of the camera.
S502, camera frame per second is determined according to camera frame per second undetermined.
Specifically, described to determine that camera waits for framing according to the environment optical flare frequency and the initial frame per second of the camera
Rate includes:
If the environment optical flare frequency >=initial frame per second of the camera, camera frame per second p'=[M]/Q undetermined,
In, M indicates environment optical flare frequency, and [M] indicates to take the integer value of M, the integer that Q is 1~10, and p' is whole in 15~120fps
Numerical value;
If the environment optical flare frequency≤initial frame per second of the camera, camera frame per second p'=[M] * Q undetermined,
In, M indicates environment optical flare frequency, and [M] indicates to take the integer value of M, the integer that Q is 1~10, and p' is whole in 15~120fps
Numerical value.
Specifically, described to determine that camera frame per second includes: that the camera is undetermined according to camera frame per second undetermined
Absolute value reckling in frame per second with the initial frame per second difference of the camera is determined as camera frame per second.
Further, after the step S3, before the step S4 further include:
The step of S31, environment optical flare threshold determination, comprising:
The step of environment optical flare threshold determination includes: to judge the maximum value of brightness value in the brightness array, most
Whether small value and the difference of luminance mean value are more than default fluctuation threshold, are the steps for carrying out environment optical flare frequency and determining, no
The step of then returning to ambient light signal sampling.
Another aspect of the present invention provides a kind of camera flashing cancellation element based on sensor detection, comprising:
One or more processors;
Memory;
One or more application program, wherein one or more of application programs are stored in the memory and quilt
It is configured to be executed by one or more of processors;
One or more of application programs are configurable for executing the above-mentioned camera sudden strain of a muscle based on sensor detection
The step of bright removing method.
The beneficial effects of the present invention are: the present invention by the way that pixel column is not used by camera sensing device, wherein make by a line
It samples and goes for ambient light signal, the brightness value of acquisition environment light is stored, so that it is determined that environment optical flare frequency, is realized pair
The light of a variety of flicker frequencies interferes and the light of a variety of flicker frequencies superposition carries out AF panel, keeps video image steady
It is fixed, promote picture quality.
Detailed description of the invention
Fig. 1 is the flow diagram of the camera flashing removing method of the invention based on sensor detection;
Fig. 2 is the arrangement schematic diagram of camera sensing device pixel of the invention;
Fig. 3 is existing raw image data transmission time sequence figure;
Fig. 4 is raw image data transmission time sequence figure of the invention;
Fig. 5 is the structural schematic diagram of the camera flashing cancellation element of the invention based on sensor detection;
Fig. 6 is the schematic diagram of calculating environment optical flare frequency of the invention.
Specific embodiment
Specifically illustrate embodiments of the present invention with reference to the accompanying drawing, attached drawing is only for reference and illustrates use, does not constitute pair
The limitation of the invention patent protection scope.
As shown in Figure 1, on the one hand the embodiment of the present invention provides a kind of camera flashing elimination based on sensor detection
Method, comprising:
The step of step 1, ambient light signal sampling.
Camera sensing device is using Exposure mode line by line at present, if the initial frame per second of camera is p0 (such as 30fps), camera shooting
The valid pixel of head output is a*b (such as 1280*720), then a frame image needs to expose the b acquisition that could complete image.
In fact, the physical picture element point of camera sensing device is more than the effective pixel points that camera sensing device exports, because of camera
Sensor some unused pixel column, pixel column.Fig. 2 is the arrangement figure of camera sensing device pixel, wherein H1, H2
Pixel column is not used in behavior camera sensing device, V1, V2 are classified as camera sensing device and pixel column are not used, and H3V3 is camera biography
The 1st effective pixel points of sensor.
The step of ambient light signal samples specifically includes: choosing camera sensing device and pixel column wherein a line is not used
It samples and goes as ambient light signal, exposure synchronous with camera sensing device valid pixel row.
In the acquisition time of a frame image (1/p seconds), the ambient light signal sampling row and the camera sensing device
Valid pixel row synchronous exposure b times, so that b ambient light signal numerical value is collected, therefore, the ambient light signal sampling row
Frequency of exposure G=b*p0 (Hz) namely ambient light signal sample frequency SG=G.
The step of step 2, raw image data output.
The step of raw image data exports specifically includes: camera sensing device exports raw image data line by line,
Valid pixel and inactive pixels alternate intervals are transmitted.
In an enforceable example, odd-numbered line transmits valid pixel, and even number line transmits inactive pixels.
In this way, the row pixel of a frame image doubles, the image pixel of actual transmissions becomes a*2b from a*b.Fig. 3 is indicated
Existing raw image data transmission time sequence figure, Fig. 4 indicate raw image data transmission time sequence figure of the invention.
The step of step 3, environment Optical Sampling signal extraction.
The step of environment Optical Sampling signal extraction, specifically includes: extracting inactive pixels row, retains the inactive pixels
Capable brightness value is stored into brightness array, and it is equal to ask arithmetic average to obtain brightness the brightness value of the inactive pixels row
Value.
Fig. 5 is the structural schematic diagram of the camera flashing cancellation element of the invention based on sensor detection, and camera passes
Sensor exports raw image data to the ISP (Image Signal Processor, i.e. image signal processing device) of camera,
ISP receives raw image data and is handled, and is converted into the identifiable signal in rear end (such as YUV), then will be described identifiable
Signal is transferred to backend processing unit (such as MPU, Micro Processor Uint, microprocessor unit), back-end processing list
Member receives the identifiable signal, and inactive pixels row (such as even number line) therein is extracted, and retains the invalid picture
The brightness value (such as Y in YUV signal) of plain row, by the brightness value storage of this b (such as 720) pixels to a brightness number
In group, and arithmetic average is asked to obtain luminance mean value the brightness value of the b pixel.
The identifiable signal reconsolidates after deleting inactive pixels row (such as even number line) as new image, use
It exports or stores in video.
The step that step 4, environment optical flare frequency determine.
The environment light of flicker free is stable within the time short enough, and there are the brightness values of the environment light of scintillation
It then will appear fluctuation.By compared with luminance mean value, determining that be higher than luminance mean value is the wave crest of flashing, lower than luminance mean value
It is the trough of flashing.
The step that the environment optical flare frequency determines specifically includes:
Step 401, by each brightness value in the brightness array respectively compared with the luminance mean value, if the brightness
Value is greater than the luminance mean value, then corresponding value of statistical indicant is 1, and otherwise corresponding value of statistical indicant is 0, and the value of statistical indicant is successively deposited
Store up value of statistical indicant array.
Step 402, the quantity for recording consecutive identical value of statistical indicant are counted as peak valley, are successively stored and are counted in array.
For example, the 1st peak valley count table is shown with 60 continuous mark values 1, then the peak valley counts J (1)=60;2nd peak
Paddy count table is shown with 80 continuous mark values 0, then the peak valley counts J (2)=80;3rd count table is shown with 130 continuous marks
Value 1, then the peak valley counts J (3)=130;And so on.
Step 403 counts calculating environment optical flare according to the frequency of exposure of ambient light signal sampling row, the peak valley
Frequency.
It may not be the number obtained in a complete cycle since first peak valley is counted with the counting of the last one peak valley
Value, therefore to reduce error, peak valley when calculating the environment optical flare frequency count selection the from the counting array
Two peak valley countings start, until the counting of penultimate peak valley terminates.
Specifically calculating step includes:
Step 4031 determines the number k that peak valley counts.
Step 4032 calculates each initial scintillation frequency of environment light.
Each initial scintillation frequency Mi=G/ of environment light (J (2i)+J (2i+1)), wherein G indicates that ambient light signal is adopted
The frequency of exposure of sample row, i=1,2 ... n (n=[(k-2)/2], k indicate the number that peak valley counts, and [] indicates round numbers), (J
(2i) indicates that the 2i peak valley counts, and J (2i+1) indicates that the 2i+1 peak valley counts.
Step 4033 asks arithmetic mean of instantaneous value to obtain the environment optical flare according to the environment light initial scintillation frequency
Frequency.
Environment optical flare frequency M=(M1+M2+ ...+the Mn)/n, wherein n=[(k-2)/2], k indicate what peak valley counted
Number, [] indicate round numbers.
For example, as shown in fig. 6, being the schematic diagram that the present invention calculates environment optical flare frequency.
In this example, the frequency of exposure G=21600Hz of ambient light signal sampling row.
Array A indicates brightness array, and array B indicates value of statistical indicant array, and array C indicates to count array.
Peak valley counts J (i) and is followed successively by J (1)=60, J (2)=80, J (3)=130, J (4)=75, J (5)=132, J (6)
=70, J (7)=135, J (8)=38, the number k=8, n=[(k-2)/2]=3 that peak valley counts.
Therefore, each initial scintillation frequency M (i) of environment light are as follows:
M1=G/ (J (2)+J (3))=21600Hz/ (80+130)=102.85Hz;
M2=G/ (J (4)+J (5))=21600Hz/ (132+75)=104.35Hz;
M3=G/ (J (6)+J (7))=21600Hz/ (70+135)=105.36Hz.
So environment optical flare frequency M=(M1+M2+M3)/3=
(102.85+104.35+105.36)/3=104.18Hz.
Step 5 updates the step of camera frame per second.
The step of update camera frame per second, specifically includes:
Step 501 determines camera frame per second undetermined according to the environment optical flare frequency and the initial frame per second of the camera.
It specifically includes:
If the initial frame per second p0 of environment optical flare frequency M >=camera, camera frame per second p'=[M] undetermined/
Q, wherein [M] indicates to take the integer value of M, the integer that Q is 1~10, and p' is the integer value in 15~120fps;
If the initial frame per second p0 of environment optical flare frequency M≤camera, camera frame per second p'=[M] * undetermined
Q, wherein [M] indicates to take the integer value of M, the integer that Q is 1~10, and p' is the integer value in 15~120fps.
For example, being 104Hz, the initial frame per second of camera after rounding if the environment optical flare frequency M=104.18Hz
P0=30fps:
Due to M > p0, so camera frame per second p'=[M] undetermined/Q={ 104,52,26 }.
Step 502 determines camera frame per second according to camera frame per second undetermined.
It specifically includes: by the absolute value reckling in camera frame per second undetermined with the initial frame per second difference of the camera
It is determined as camera frame per second.
For example, in camera frame per second p'={ 104,52,26 } undetermined, the 26 and initial frame per second p0 of the camera
The absolute value of (30fps) difference is minimum, therefore, final to determine that camera frame per second p is 26fps.
Step 6, the frequency of exposure that the ambient light signal sampling row is updated according to the camera frame per second, and described in return
The step of ambient light signal samples.
For example, after the camera frame per second p is updated to 26fps, the frequency of exposure G=of the ambient light signal sampling row
B*p=720*26=18720 (Hz).
It in another embodiment of the present invention, is the accuracy for further increasing judgement, after the step 3, institute
Before stating step 4 further include:
The step of step 31, environment optical flare threshold determination.
The step of environment optical flare threshold determination includes: to judge the maximum value of brightness value in the brightness array, most
Whether small value and the difference of luminance mean value are more than default fluctuation threshold, are the steps for carrying out environment optical flare frequency and determining, no
The step of then returning to ambient light signal sampling.
The default fluctuation threshold can be calibrated according to actual effect, such as be set as 20%.
Above disclosed is only presently preferred embodiments of the present invention, cannot limit rights protection model of the invention with this
It encloses, therefore according to equivalent variations made by scope of the present invention patent, is still within the scope of the present invention.
Claims (13)
1. a kind of camera based on sensor detection flashes removing method characterized by comprising
The step of S1, ambient light signal sampling;
The step of S2, raw image data output;
The step of S3, environment Optical Sampling signal extraction;
The step that S4, environment optical flare frequency determine;
S5, the step of camera frame per second is updated;
S6, the frequency of exposure that the ambient light signal sampling row is updated according to the camera frame per second, and return to the environment light
The step of signal sampling.
2. the camera according to claim 1 based on sensor detection flashes removing method, which is characterized in that the ring
Border optical signal sample the step of specifically include: choose camera sensing device be not used pixel column wherein a line as ambient light signal
Sampling row, exposure synchronous with camera sensing device valid pixel row.
3. the camera according to claim 1 based on sensor detection flashes removing method, which is characterized in that the original
The step of beginning image data exports specifically includes: camera sensing device exports raw image data line by line, valid pixel and invalid
The transmission of pixel alternate intervals.
4. the camera according to claim 3 based on sensor detection flashes removing method, which is characterized in that the ring
The step of border Optical Sampling signal extraction, specifically includes: extracting inactive pixels row, retains the brightness value of the inactive pixels row, stores
Arithmetic average is asked to obtain luminance mean value into brightness array, and by the brightness value of the inactive pixels row.
5. the camera according to claim 4 based on sensor detection flashes removing method, which is characterized in that the ring
The step that border optical flare frequency determines specifically includes:
S401, by each brightness value in the brightness array respectively compared with the luminance mean value, if the brightness value is greater than
The luminance mean value, then corresponding value of statistical indicant is 1, and otherwise corresponding value of statistical indicant is 0, and the value of statistical indicant is successively stored to mark
Will value array;
S402, the quantity for recording consecutive identical value of statistical indicant are counted as peak valley, are successively stored and are counted in array;
S403, calculating environment optical flare frequency is counted according to the frequency of exposure of ambient light signal sampling row, the peak valley.
6. the camera according to claim 5 based on sensor detection flashes removing method, which is characterized in that described
Counting calculating environment optical flare frequency according to the frequency of exposure of ambient light signal sampling row, the peak valley includes:
S4031, the number that peak valley counts is determined.
S4032, each initial scintillation frequency of environment light is calculated.
S4033, arithmetic mean of instantaneous value is asked to obtain the environment optical flare frequency according to the environment light initial scintillation frequency.
7. the camera according to claim 6 based on sensor detection flashes removing method, which is characterized in that the ring
Each initial scintillation frequency Mi=G/ of border light (J (2i)+J (2i+1)), wherein G indicates the frequency of exposure of ambient light signal sampling row,
I=1,2 ... n (n=[(k-2)/2], k indicate the number that peak valley counts, and [] indicates round numbers), (J (2i) indicates the 2i peak
Paddy counts, and J (2i+1) indicates that the 2i+1 peak valley counts.
8. the camera according to claim 7 based on sensor detection flashes removing method, which is characterized in that the ring
Border optical flare frequency M=(M1+M2+ ...+Mn)/n, wherein n=[(k-2)/2], k indicate the number that peak valley counts, and [] expression takes
Integer.
9. it is according to claim 6 based on sensor detection camera flash removing method, which is characterized in that it is described more
The step of new camera frame per second, specifically includes:
S501, camera frame per second undetermined is determined according to the environment optical flare frequency and the initial frame per second of the camera.
S502, camera frame per second is determined according to camera frame per second undetermined.
10. the camera according to claim 9 based on sensor detection flashes removing method, which is characterized in that described
Determine that camera frame per second undetermined includes: according to the environment optical flare frequency and the initial frame per second of the camera
If the environment optical flare frequency >=initial frame per second of the camera, camera frame per second p'=[M]/Q undetermined, wherein M
Indicate environment optical flare frequency, [M] indicates to take the integer value of M, the integer that Q is 1~10, and p' is the integer in 15~120fps
Value;
If the environment optical flare frequency≤initial frame per second of the camera, camera frame per second p'=[M] * Q undetermined, wherein M
Indicate environment optical flare frequency, [M] indicates to take the integer value of M, the integer that Q is 1~10, and p' is the integer in 15~120fps
Value.
11. the camera according to claim 10 based on sensor detection flashes removing method, which is characterized in that described
According to camera frame per second undetermined determine camera frame per second include: by camera frame per second undetermined with the camera at the beginning of
The absolute value reckling of beginning frame per second difference is determined as camera frame per second.
12. the camera according to claim 4 based on sensor detection flashes removing method, which is characterized in that in institute
After stating step S3, before the step S4 further include:
The step of S31, environment optical flare threshold determination, comprising:
The step of environment optical flare threshold determination includes: maximum value, the minimum value for judging brightness value in the brightness array
Whether the difference with luminance mean value is more than default fluctuation threshold, is the step for carrying out environment optical flare frequency and determining, otherwise returns
The step of returning ambient light signal sampling.
13. a kind of camera based on sensor detection flashes cancellation element characterized by comprising
One or more processors;
Memory;
One or more application program, wherein one or more of application programs are stored in the memory and are configured
To be executed by one or more of processors;
One or more of application programs are configurable for perform claim and require described in 1-12 any one based on sensing
The step of camera of device detection flashes removing method.
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