Multi-channel image sensor analog signal imaging quality optimization method

Abstract

The invention discloses a multi-channel image sensor analog signal imaging quality optimization method, and solves the problems that in the prior art, in the sampling process of multi-channel analog signals output by an image sensor, all-position scanning needs to be carried out on the analog signals output by the image sensor to find an optimal sampling point; in order to solve the problems of low sampling efficiency, complex circuit structure and no consideration of signal difference between channels, a high-speed multi-channel synchronous ADC is utilized, the sampling frequency of the high-speed multi-channel synchronous ADC is controlled, and a signal area and a reset area of analog signals of each channel of an image sensor are sampled for multiple times at the same time; each channel obtains a plurality of signal area sub-images and reset area sub-images at a time, the signal area sub-image and the reset area sub-image with the maximum signal-to-noise ratio of each channel are found, and finally the signal area sub-image and the reset area sub-image with the maximum signal-to-noise ratio of each channel are spliced into a complete signal area image and a complete reset area image with the maximum signal-to-noise ratio. And correspondingly subtracting the two images to obtain a maximum signal-to-noise ratio image of which the background noise is deducted.

Description

Technical Field

[0001] This invention relates to a multi-channel analog signal sampling method, specifically to a method for optimizing the imaging quality of analog signals from a multi-channel image sensor. Background Technology

[0002] In the field of image acquisition, image quality depends on the signal-to-noise ratio (SNR); the higher the SNR, the better the image quality. For image sensors that convert light signals into analog signals for direct output, failure to accurately sample the analog signals output by the image sensor will reduce the image's SNR and, in severe cases, lead to image errors.

[0003] During the sampling process of multi-channel analog signals output by an image sensor, the signal shape will change due to the influence of the bandwidth and delay of the analog signal output system, and there is a delay between each channel. The selection of the sampling point position for each channel by the acquisition end directly affects the accuracy of signal sampling, thereby affecting the quality of the entire image.

[0004] In existing technologies, for analog signal imaging of multi-channel image sensors, to obtain high signal-to-noise ratio (SNR) images, it is typically necessary to design a dual-sampling circuit to generate signal sampling levels and reset sampling levels, sampling the signal and reset regions of the image sensor respectively. Then, an ADC converts the signal and reset levels sampled by the dual-sampling circuit into digital signals, outputting signal region and reset region images. Finally, the signal region and reset region images are subtracted to obtain an image with noise floor deducted. Simultaneously, to find the optimal sampling point for the image sensor's analog signal, the carry chain resources within the FPGA are typically utilized. Using delay units as the basic time unit, the program is iteratively designed and looped multiple times. This allows the signal sampling levels and reset sampling levels generated by the dual-sampling circuit to be delayed at multiple points within the image sensor's output signal range, achieving full-position scanning of the image sensor's output signal. This yields multi-point signal region and reset region images. Finally, image comparison is used to find the signal region and reset region images with the highest SNR, thus obtaining a high SNR image with noise floor deducted.

[0005] This method requires multiple modifications to the program code and additional related dual sampling circuits, resulting in low sampling efficiency and complex circuit structure. Furthermore, the image obtained by this method is an image sampled at the same sampling point for each channel, without considering the signal differences caused by delay errors between channels. This means that the image sampled at the same sampling point may not be the optimal sampling point for each channel, thus affecting the quality of the final image. Summary of the Invention

[0006] The purpose of this invention is to solve the technical problems of existing technologies that require multiple changes to program code and additional related dual sampling circuits during the sampling of multi-channel analog signals output by image sensors, resulting in low sampling efficiency, complex circuit structure, and failure to consider the differences between multi-channel signals, which may lead to the image sampled at the same sampling point not being the optimal sampling point for each channel. The invention provides a method for optimizing the imaging quality of analog signals from multi-channel image sensors.

[0007] The concept of this invention is:

[0008] The approach employs signal oversampling, directly utilizing a high-speed multi-channel synchronous ADC. By controlling the sampling frequency of the high-speed multi-channel synchronous ADC, multiple sampling points in the signal and reset regions of the analog signal of each channel of the image sensor are simultaneously sampled multiple times. Each channel obtains multiple signal region sub-images and reset region sub-images at once. Then, the signal-to-noise ratio (SNR) of the multiple signal region sub-images and reset region sub-images obtained by each channel is calculated. The signal region sub-image and reset region sub-image with the maximum SNR for each channel are found. Finally, the signal region sub-image and reset region sub-image with the maximum SNR for each channel are stitched together to form a complete maximum SNR signal region image and maximum SNR reset region image. The two images are then subtracted to obtain the maximum SNR image after deducting the background noise, which is the optimal image.

[0009] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0010] A method for optimizing the imaging quality of analog signals from a multi-channel image sensor, characterized by the following steps:

[0011] S1. Obtain the pixel region, readout clock period T, and effective sampling time t of the signal region corresponding to each of the n readout channels of the image sensor. 1i Effective sampling time t in the reset area 2i And the maximum delay time Δt, where 1≤i≤n, and i is an integer; each readout channel of the image sensor reads out one pixel data within one readout clock cycle T;

[0012] S2, based on the effective sampling time t of the image sensor signal area. 1i Effective sampling time t in the reset area 2i And the maximum delay time Δt, to obtain the maximum sampling clock period t of the multi-channel synchronous high-speed ADC. max and minimum sampling clock period t min The number N is determined based on the number m of the multi-channel synchronous high-speed ADC.

[0013] S3. Based on the effective sampling time t of the image sensor signal area 1i Effective sampling time t in the reset area 2iMaximum delay time Δt, maximum sampling clock period t of multi-channel synchronous high-speed ADC max and minimum sampling clock period t min Calculate the sampling clock period t that can be set for the multi-channel synchronous ADC;

[0014] S4. Calculate the sampling frequency f of the multi-channel synchronous high-speed ADC based on the readout clock period T of the image sensor and the sampling clock period t that can be set by the multi-channel synchronous high-speed ADC.

[0015] S5. Utilize N multi-channel synchronous high-speed ADCs to continuously sample the analog signal output by the image sensor at a sampling frequency f, and obtain the digital signal of each pixel in each channel at L sampling points in the signal area and the digital signal at L sampling points in the reset area.

[0016] S6. Combine the digital signals collected from the L sampling points in the signal area and the L sampling points in the reset area of ​​each pixel in each readout channel with their corresponding pixel positions to obtain L signal area sub-images and L reset area sub-images for each readout channel.

[0017] S7. Calculate the signal-to-noise ratio (SNRS) of the L-frame sub-image for each readout channel. nj The signal-to-noise ratio (SNRR) of L reset region sub-images nj , where 1≤j≤L, and j is an integer, to obtain the signal region sub-image and reset region sub-image with the maximum signal-to-noise ratio for each readout channel;

[0018] S8. The sub-images of the signal region with the highest signal-to-noise ratio and the reset region of each readout channel are stitched together according to their corresponding pixel positions to obtain the complete optimal signal region image P. S and the optimal reset region image P R ;

[0019] S9. Image P of the optimal signal region. S With the optimal reset region image P R By subtracting each pixel from its corresponding position, the optimal image with background noise removed is obtained, thus completing the optimization of the imaging quality of the analog signal of the multi-channel image sensor.

[0020] Furthermore, the multi-channel synchronous high-speed ADC in step S2 is a multi-channel synchronous high-speed ADC that uses the rising or falling edge of the clock signal as the sampling time and performs continuous sampling.

[0021] Furthermore, the calculation process for the multi-channel synchronous high-speed ADC sampling frequency f in step S4 is as follows:

[0022] S4.1. Calculate the multiple K of the readout clock period T of the image sensor to the sampling clock period t that can be set by the multi-channel synchronous high-speed ADC, and K takes a positive even value;

[0023] S4.2. Calculate the sampling frequency f of the multi-channel synchronous high-speed ADC. The calculation formula is as follows:

[0024]

[0025] Furthermore, in step S5,

[0026] Furthermore, step S2 is specifically:

[0027] According to the effective sampling time t 1i of the signal area of the image sensor, the effective sampling time t 2i of the reset area, and the maximum delay time Δt, obtain the maximum sampling clock period t max and the minimum sampling clock period t min of the multi-channel synchronous high-speed ADC. The number of channels is m, and t min ≤ min{t 1i - Δt, t 2i - Δt};

[0028] The value of N satisfies the following conditions:

[0029] If m ≥ n, then N = 1; if m < n, then and N is rounded up to the smallest integer.

[0030] Furthermore, step S3 is specifically:

[0031] Calculate the sampling clock period t that can be set by the multi-channel synchronous ADC;

[0032] If t max ≤ min{t 1i - Δt, t 2i - Δt}, then t = {t min , t max}, and at this time, the maximum sampling clock period t setmax that can be set by the multi-channel synchronous ADC = t max ;

[0033] If t max > min{t 1i - Δt, t 2i - Δt}, then t = {t min , min{t 1i - Δt, t 2i - Δt}}, and at this time, the maximum sampling clock period that can be set by the multi-channel synchronous ADC is tsetmax =min{t 1i -Δt,t 2i -Δt}.

[0034] Furthermore, step S5 specifically includes the following steps:

[0035] S5.1, The multi-channel synchronous high-speed ADC continuously samples the analog signal output by the image sensor at a sampling frequency f;

[0036] Within one readout clock cycle T, the multi-channel synchronous high-speed ADC acquires analog signals from the output pixels of each readout channel of the image sensor at L sampling points in its signal region and L sampling points in its reset region. The analog signals acquired at the L sampling points are converted into corresponding digital signals, resulting in digital signals of n pixels at L sampling points in the signal region and L sampling points in the reset region.

[0037] S5.2. Based on the flag signal output by the image sensor, determine whether all pixels of the image sensor have been read out.

[0038] If not, return to step S5.1 and continue to collect the next readout clock cycle T;

[0039] If so, obtain the digital signal of each pixel in each readout channel at L sampling points in the signal area and L sampling points in the reset area, and then execute step S6.

[0040] Furthermore, the flag signals output by the image sensor in step S6 are the frame synchronization signal and the line synchronization signal of the image sensor.

[0041] Compared with the prior art, the present invention has the following beneficial technical effects:

[0042] 1. The present invention provides a method for optimizing the imaging quality of analog signals from a multi-channel image sensor. It adopts the signal oversampling approach and uses a multi-channel synchronous high-speed ADC. By controlling the sampling frequency of the multi-channel synchronous high-speed ADC, multiple sampling point signals can be obtained by running the program once, thereby improving the sampling efficiency.

[0043] 2. The present invention provides a method for optimizing the imaging quality of analog signals from a multi-channel image sensor. By calculating the readout clock period of the image sensor and the sampling clock period that can be set by the multi-channel synchronous high-speed ADC, the ADC sampling frequency is calculated, which can effectively ensure that multiple sampling points cover the effective sampling range and guarantee that images with high signal-to-noise ratio are acquired.

[0044] 3. The present invention provides a method for optimizing the imaging quality of analog signals from a multi-channel image sensor. By acquiring multiple sub-images from each readout channel and comparing them, the optimal sub-image from each readout channel is found, thereby finding the optimal complete image. This solves the problem of image quality being affected by delay errors in each readout channel. Attached Figure Description

[0045] Figure 1 This is a flowchart illustrating an embodiment of a method for optimizing the imaging quality of analog signals from a multi-channel image sensor according to the present invention.

[0046] Figure 2 This is a schematic diagram of an image sensor pixel array, representing an embodiment of a method for optimizing the imaging quality of analog signals from a multi-channel image sensor according to the present invention.

[0047] Figure 3 This is a timing diagram illustrating an embodiment of a method for optimizing the imaging quality of analog signals from a multi-channel image sensor according to the present invention.

[0048] Figure 4 This is a schematic diagram of the signal region sub-image and reset region sub-image obtained by each channel in an embodiment of the multi-channel image sensor analog signal imaging quality optimization method of the present invention;

[0049] Figure 5 This is a schematic diagram illustrating the optimal background subtraction image acquisition process in an embodiment of the multi-channel image sensor analog signal imaging quality optimization method of the present invention. Detailed Implementation

[0050] To make the objectives, advantages, and features of this invention clearer, the following detailed description of a method for optimizing the imaging quality of analog signals from a multi-channel image sensor, in conjunction with the accompanying drawings and specific embodiments, is provided. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of this invention and are not intended to limit the scope of protection of this invention.

[0051] like Figure 1 As shown, a method for optimizing the imaging quality of analog signals from a multi-channel image sensor includes the following steps:

[0052] S1. Acquire the image sensor, determine the number of readout channels n=4 and the pixel region corresponding to each readout channel, such as... Figure 2 As shown, in an example where the image sensor has a pixel resolution of 4 rows × 8 columns, the readout channel k reads pixels from column 1+2(k-1) to column 2k (k=1,2,3,4), as follows. Figure 3 As shown, the readout clock period T = 50 ns, and the effective sampling time t of the signal area of ​​the output signal of the four readout channels of the image sensor is... 11 =t 14= 10 ns, t 12 = t 13 = 20 ns, the effective sampling time t of the reset area 21 = t 24 = 10 ns, t 22 = t 23 = 20 ns, and the maximum delay time Δt between each readout channel is 1 ns. Among them, during the process of the image sensor reading data, each readout channel of the image sensor reads one pixel data in a readout clock cycle T = 50 ns;

[0053] S2. Obtain N = 1 multi-channel synchronous high-speed ADCs that use the rising or falling edge of the clock signal as the sampling moment and sample continuously. The maximum sampling clock cycle and the minimum sampling clock cycle of the multi-channel synchronous high-speed ADC are t max = 100 ns and t min = 2 ns respectively. The number of channels of the multi-channel synchronous high-speed ADC is m = 8, and t min ≤ min{t 1i - Δt, t 2i - Δt}, and the value of N satisfies the following conditions:

[0054] If m ≥ n, then N = 1; if m < n, then and N is rounded up;

[0055] In this embodiment, m > n, so the value of N is 1.

[0056] S3. Calculate the sampling clock cycle t that the multi-channel synchronous ADC can set;

[0057] If t max ≤ min{t 1i - Δt, t 2i - Δt}, then t = {t min , t max}, and at this time, the maximum sampling clock cycle t setmax = t max ;

[0058] If t max > min{t 1i - Δt, t 2i - Δt}, then t = {t min , min{t 1i - Δt, t 2i - Δt}}, and at this time, the maximum sampling clock cycle of the multi-channel synchronous ADC is t setmax = min{t 1i - Δt, t 2i - Δt};

[0059] In this embodiment, the maximum sampling clock period t that the multi-channel synchronous ADC can be set to is... setmax =9ns, the sampling clock period that the ADC can be set to is t = {2ns, 9ns};

[0060] S4. Based on the pixel clock period T of the image sensor and the sampling clock period t that the multi-channel synchronous high-speed ADC can be set to, calculate the sampling frequency f of the multi-channel synchronous high-speed ADC. The specific calculation process is as follows:

[0061] S4.1 Calculate the multiple K of the image sensor's readout clock period T and the sampling clock period t that can be set by the multi-channel synchronous high-speed ADC. Furthermore, K takes a positive even value. In this embodiment, 5.5≤K≤25, and K is 8. The larger the value of K, the higher the image clarity, but the corresponding reduction in calculation efficiency. It is necessary to select an appropriate value of K based on the actual working conditions.

[0062] S4.2 Calculate the sampling frequency f of the multi-channel synchronous high-speed ADC.

[0063] S5. Utilize N multi-channel synchronous high-speed ADCs to continuously sample the analog signal output by the image sensor at a sampling frequency f, obtaining the digital signal of each pixel in each channel at L sampling points in the signal region and the digital signal at L sampling points in the reset region; specifically including the following steps:

[0064] S5.1, The multi-channel synchronous high-speed ADC continuously samples the analog signal output by the image sensor at a sampling frequency of f = 160MHz;

[0065] Within one readout clock cycle T = 50 ns, the multi-channel synchronous high-speed ADC acquires analog signals from the n = 4 pixels output from the n = 4 readout channels of the image sensor at L = 4 sampling points in both the signal region and the reset region. The analog signals acquired at these L = 4 sampling points are then converted into corresponding digital signals, resulting in digital signals for each of the n = 4 pixels at L = 4 sampling points in the signal region and L = 4 sampling points in the reset region. In this embodiment, the number of sampling points is L.

[0066] S5.2. Based on the flag signals output by the image sensor, namely the frame synchronization signal and line synchronization signal of the image sensor, determine whether all pixels of the image sensor have been read out and sampled.

[0067] If the result is negative, return to step S5.1;

[0068] If the determination is correct, all pixels in each readout channel obtain digital signals at L sampling points in the signal area and L sampling points in the reset area, and then step S6 is executed; in this embodiment, all pixels of the image sensor are 4×8=32 pixels.

[0069] S6. Process all pixels corresponding to each readout channel. Combine the digital signals collected from each pixel in the signal area and reset area at L=4 sampling points with the pixel positions corresponding to all pixels read out by each readout channel. Each readout channel obtains L=4 signal area sub-images and L=4 reset area sub-images, as follows: Figure 4 As shown.

[0070] S7. Calculate the signal-to-noise ratio (SNRS) of each of the L=4 signal region sub-images for each readout channel. nj The signal-to-noise ratio (SNRR) of L = 4 reset region sub-images nj Where 1≤j≤L, and j is an integer, and n is the number of readout channels, four signal region sub-images and four reset region sub-images with the highest signal-to-noise ratio (i.e. the best image quality) are obtained.

[0071] S8. Take the four signal region sub-images with the highest signal-to-noise ratio and the four reset region sub-images, and stitch them together according to the positions of their corresponding image sensor pixels to obtain the complete optimal signal region image P. S and the optimal reset region image P R ;

[0072] S9. Obtain the optimal signal region image P S Image P of the reset area R By subtracting the corresponding pixel positions of the image sensor one by one, the optimal image with background noise removed is obtained.

[0073] like Figure 5 As shown, the maximum signal-to-noise ratios (SNRs) of the four readout channel signal regions are SNRS. 13 SNRS 22 SNRS 32 SNRS 44 These correspond to the 3rd, 2nd, 2nd, and 4th sub-images sampled in the signal region by each readout channel, respectively, and their maximum signal-to-noise ratios (SNRR) in the reset region sub-images are respectively SNRR 13 SNRR 22 SNRR 32 SNRR 44 These correspond to the 3rd, 2nd, 2nd, and 4th sub-images sampled in the reset area by each readout channel, respectively. The four signal area sub-images with the highest signal-to-noise ratio and the four reset area sub-images are stitched together according to pixel position to obtain a complete optimal signal area image P. Sand a complete optimal reset region image P R Then, the two images are subtracted one by one according to their pixel positions to obtain the optimal image after removing the background noise.

[0074] This invention provides a method for optimizing the imaging quality of analog signals from a multi-channel image sensor. This method can be implemented in FPGA or ASIC chips and has broad applicability.

[0075] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the present invention.

Claims

1. A method for optimizing the imaging quality of analog signals from a multi-channel image sensor, characterized in that: Includes the following steps: S1. Obtain the pixel region, readout clock period T, and effective sampling time t of the signal region corresponding to each of the n readout channels of the image sensor. 1i Effective sampling time t in the reset area 2i And the maximum delay time Δt, where 1≤i≤n, and i is an integer; each readout channel of the image sensor reads out one pixel data within one readout clock cycle T; S2, based on the effective sampling time t of the image sensor signal area. 1i Effective sampling time t of the reset area 2i And the maximum delay time Δt, to obtain the maximum sampling clock period t of the multi-channel synchronous high-speed ADC. max and minimum sampling clock period t min The number N is determined based on the number m of the multi-channel synchronous high-speed ADC. S3. Based on the effective sampling time t of the image sensor signal area 1i Effective sampling time t in the reset area 2i Maximum delay time Δt, maximum sampling clock period t of multi-channel synchronous high-speed ADC max and minimum sampling clock period t min Calculate the sampling clock period t that can be set for the multi-channel synchronous ADC; S4. Calculate the sampling frequency f of the multi-channel synchronous high-speed ADC based on the readout clock period T of the image sensor and the sampling clock period t that can be set by the multi-channel synchronous high-speed ADC. S5. Utilize N multi-channel synchronous high-speed ADCs to continuously sample the analog signal output by the image sensor at a sampling frequency f, and obtain the digital signal of each pixel in each channel at L sampling points in the signal area and the digital signal at L sampling points in the reset area. S6. Combine the digital signals collected from the L sampling points in the signal area and the L sampling points in the reset area of ​​each pixel in each readout channel with their corresponding pixel positions to obtain L signal area sub-images and L reset area sub-images for each readout channel. S7. Calculate the signal-to-noise ratio (SNRS) of the L-frame sub-image for each readout channel. nj The signal-to-noise ratio (SNRR) of L reset region sub-images nj , where 1≤j≤L, and j is an integer, to obtain the signal region sub-image and reset region sub-image with the maximum signal-to-noise ratio for each readout channel; S8. The sub-images of the signal region with the highest signal-to-noise ratio and the reset region of each readout channel are stitched together according to their corresponding pixel positions to obtain the complete optimal signal region image P. S and the optimal reset region image P R ; S9. Image P of the optimal signal region. S With the optimal reset region image P R By subtracting each pixel from its corresponding position, the optimal image with background noise removed is obtained, thus completing the optimization of the imaging quality of the analog signal of the multi-channel image sensor.

2. The method for optimizing the imaging quality of analog signals from a multi-channel image sensor according to claim 1, characterized in that: The multi-channel synchronous high-speed ADC in step S2 is a multi-channel synchronous high-speed ADC that uses the rising or falling edge of the clock signal as the sampling time and samples continuously.

3. The method for optimizing the imaging quality of analog signals from a multi-channel image sensor according to claim 1, characterized in that, The calculation process for the multi-channel synchronous high-speed ADC sampling frequency f in step S4 is as follows: S4.1 Calculate the multiple K of the image sensor's readout clock period T and the sampling clock period t that can be set by the multi-channel synchronous high-speed ADC. And K takes a positive even value; S4.2 Calculate the sampling frequency f of the multi-channel synchronous high-speed ADC. The calculation formula is as follows:

4. The method for optimizing the imaging quality of analog signals from a multi-channel image sensor according to claim 3, characterized in that: In step S5, 5. The method for optimizing the imaging quality of analog signals from a multi-channel image sensor according to claim 1, characterized in that, Step S2 is as follows: Based on the effective sampling time t of the image sensor signal area 1i Effective sampling time t in the reset area 2i And the maximum delay time Δt, to obtain the maximum sampling clock period t of the multi-channel synchronous high-speed ADC. max and minimum sampling clock period t min The number of channels is m, and t min ≤min{t 1i -Δt,t 2i -Δt}; The value of N satisfies the following conditions: If m ≥ n, then N = 1; if m < n, then and N is rounded up to the smallest integer.

6. The method for optimizing the imaging quality of analog signals from a multi-channel image sensor according to claim 1, characterized in that, Step S3 is as follows: Calculate the sampling clock period t that can be set for the multi-channel synchronous ADC; If t max ≤min{t 1i -Δt,t 2i -Δt}, then t={t min , t max At this point, the maximum sampling clock period t that the multi-channel synchronous ADC can be set to is... setmax =t max ; If t max >min{t 1i -Δt,t 2i -Δt}, then t={t min ,min{t 1i -Δt,t 2i -Δt}}, at this time the maximum sampling clock period that the multi-channel synchronous ADC can be set to is t setmax =min{t 1i -Δt,t 2i -Δt}.

7. The method for optimizing the imaging quality of analog signals from a multi-channel image sensor according to claim 1, characterized in that, Step S5 specifically includes the following steps: S5.1, The multi-channel synchronous high-speed ADC continuously samples the analog signal output by the image sensor at a sampling frequency f; Within one readout clock cycle T, the multi-channel synchronous high-speed ADC acquires analog signals from the output pixels of each readout channel of the image sensor at L sampling points in its signal region and L sampling points in its reset region. The analog signals acquired at the L sampling points are converted into corresponding digital signals, resulting in digital signals of n pixels at L sampling points in the signal region and L sampling points in the reset region. S5.

2. Based on the flag signal output by the image sensor, determine whether all pixels of the image sensor have been read out. If not, return to step S5.1 and continue to collect the next readout clock cycle T; If so, obtain the digital signal of each pixel in each readout channel at L sampling points in the signal area and L sampling points in the reset area, and then execute step S6.

8. The method for optimizing the imaging quality of analog signals from a multi-channel image sensor according to claim 7, characterized in that: The flag signals output by the image sensor in step S5.2 are the frame synchronization signal and the line synchronization signal of the image sensor.

Images