Coal mine data processing system and working method thereof

Abstract

The present application belongs to the field of electric communication, and particularly relates to image communication, and more particularly to a coal mine data processing system and a working method thereof, wherein the coal mine data processing system controls an image sensor module to acquire images through a control module, acquires the total number of electrons of each pixel in each frame of image, creates a buffer time period after acquiring each frame of image, divides each frame into a plurality of continuous and equal-length micro time periods within the buffer time period, acquires the number of electrons of each pixel in each micro time period, judges the disturbance category to which the pixel is subjected according to the change of the number of electrons, repairs according to the disturbance category, sends the repaired image to a display end for display, and thus the disturbance category to which the image is subjected in the image acquisition process in the coal mine is accurately judged, the corresponding algorithm is selected according to the disturbance category to repair the image, and the image is displayed clearly and accurately.

Description

Technical Field

[0001] This invention belongs to the field of telecommunications technology, specifically relating to image communication, and more particularly to a coal mine data processing system and its working method. Background Technology

[0002] Numerous interference sources exist in underground coal mines, affecting camera imaging. Specifically, substrate interference and external electromagnetic radiation alter the PN junction potential well depth of the photodetector, either causing leakage of collected photogenerated charges or "absorbing" hot electrons and interference-injected dummy charges from the substrate into the potential well. The system then treats these dummy charges as photogenerated charges generated by photons, thus interfering with imaging. Furthermore, the presence of both electromagnetic interference and optical noise in underground coal mines makes it impossible to determine the type of interference during image acquisition, hindering accurate image repair based on the disturbance type and resulting in unclear and inaccurate image display.

[0003] Therefore, due to the technical problem that images cannot be accurately repaired according to the type of disturbance in underground coal mines, resulting in unclear and inaccurate image display, it is necessary to design a new coal mine data processing system and its working method.

[0004] It should be noted that the information disclosed in this background section is only for understanding the background technology of the present application concept, and therefore, the above description is not considered to constitute prior art information. Summary of the Invention

[0005] This disclosure provides at least one coal mine data processing system and its operating method.

[0006] In a first aspect, embodiments of this disclosure provide a coal mine data processing system, including:

[0007] The acquisition end includes: a control module and an image sensor module electrically connected to the control module;

[0008] The image sensor module is adapted to employ CID technology to store and release electrons in a potential well within the image sensor module;

[0009] The control module is configured to control the image sensor module to acquire images of the underground coal mine area, acquire the total number of electrons in each pixel of each frame image, and create a buffer time period after acquiring each frame image. Within the buffer time period, each frame is divided into several consecutive micro-time periods of equal length. The number of electrons in each pixel of each micro-time period is acquired, and the type of disturbance to the pixel is determined based on the change in the number of electrons. The image is then repaired based on the type of disturbance.

[0010] In one alternative implementation, the control module is configured to acquire the electronic increment of each pixel in the corresponding micro-period:

[0011] ;

[0012] in, Let i be the electron increment of the k-th pixel in the i-th micro-segment; k is the pixel number, 1≤k≤K, K is the total number of pixels; i is the micro-segment number, 2≤i≤M, M is the total number of micro-segments in a single frame image, and there are M-1 effective micro-segments in a single frame. This represents the cumulative number of electrons in the k-th pixel at the end of the i-th micro-period.

[0013] In one optional implementation, the control module is configured to obtain the average electronic increment of each pixel over the corresponding frame duration based on the electronic increment of each pixel in the corresponding micro-period:

[0014] ;

[0015] in, It represents the average electronic increment of the k-th pixel during the corresponding frame duration.

[0016] In one optional implementation, the control module is configured to obtain the fluctuation direction sign of each pixel in each micro-period based on the average electronic increment of each pixel in the corresponding frame duration:

[0017] ;

[0018] in, Let represent the sign of the fluctuation direction of the k-th pixel in the i-th micro-period, where +1 represents positive fluctuation, -1 represents negative fluctuation, and 0 represents no fluctuation.

[0019] In one optional implementation, the control module is configured to determine the disturbance category based on the total number of fluctuation direction symbols of all pixels in a frame image. If there are at least two fluctuation direction symbols in a frame image, and the percentage of the number of the same fluctuation direction symbols in the total number of fluctuation direction symbols is greater than or equal to a preset fluctuation percentage, then the disturbance category is determined to be electromagnetic interference; otherwise, it is determined to be optical noise.

[0020] If all the wave direction signs in a frame of an image are the same, it is judged to be strong electromagnetic interference.

[0021] In one alternative implementation, the acquisition end establishes communication with the display end, and the display end is configured to receive and display the repaired image sent by the acquisition end.

[0022] Secondly, this disclosure also provides a working method using the above-described coal mine data processing system, comprising:

[0023] The control module controls the image sensor module to acquire images, obtains the total number of electrons in each pixel of each frame, and creates a buffer time period after acquiring each frame. Within the buffer time period, each frame is divided into several consecutive micro-time periods of equal length. The number of electrons in each pixel in each micro-time period is obtained, and the type of disturbance to the pixel is determined based on the change in the number of electrons. The disturbance is repaired according to the type of disturbance, and the repaired image is sent to the display end for display.

[0024] In one alternative implementation, the control module is configured to acquire the electronic increment of each pixel in the corresponding micro-period:

[0025] ;

[0026] in, Let i be the electron increment of the k-th pixel in the i-th micro-segment; k is the pixel number, 1≤k≤K, K is the total number of pixels; i is the micro-segment number, 2≤i≤M, M is the total number of micro-segments in a single frame image, and there are M-1 effective micro-segments in a single frame. This represents the cumulative number of electrons in the k-th pixel at the end of the i-th micro-period.

[0027] In one optional implementation, the control module is configured to obtain the average electronic increment of each pixel over the corresponding frame duration based on the electronic increment of each pixel in the corresponding micro-period:

[0028] ;

[0029] in, The mean electronic increment of the k-th pixel during the corresponding frame duration;

[0030] The control module is configured to obtain the sign of the fluctuation direction of each pixel in each micro-period based on the average electronic increment of each pixel in the corresponding frame duration period:

[0031] ;

[0032] in, Let represent the sign of the fluctuation direction of the k-th pixel in the i-th micro-period, where +1 represents positive fluctuation, -1 represents negative fluctuation, and 0 represents no fluctuation.

[0033] In one optional implementation, the control module is configured to determine the disturbance category based on the total number of fluctuation direction symbols of all pixels in a frame image. If there are at least two fluctuation direction symbols in a frame image, and the percentage of the number of the same fluctuation direction symbols in the total number of fluctuation direction symbols is greater than or equal to a preset fluctuation percentage, then the disturbance category is determined to be electromagnetic interference; otherwise, it is determined to be optical noise.

[0034] If all the wave direction signs in a frame of an image are the same, it is judged to be strong electromagnetic interference.

[0035] The beneficial effects of this invention are that the coal mine data processing system controls the image sensor module to acquire images through the control module, obtains the total number of electrons in each pixel of each frame image, and creates a buffer time period after acquiring each frame image. Within the buffer time period, each frame is divided into several consecutive micro-time periods of equal length, and the number of electrons in each pixel in each micro-time period is obtained. The type of disturbance to the pixel is determined based on the change in the number of electrons, and the image is repaired according to the type of disturbance. The repaired image is then sent to the display end for display. This achieves accurate determination of the type of disturbance encountered during the underground coal mine image acquisition process, making it easier to select the corresponding algorithm to repair the image based on the type of disturbance, so as to display the image clearly and accurately.

[0036] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0037] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described in detail below with reference to the accompanying drawings. Attached Figure Description

[0038] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0039] Figure 1 A flowchart of a coal mine data processing system provided in this embodiment of the present disclosure;

[0040] Figure 2 This is a schematic diagram of a coal mine data processing system provided in an embodiment of the present disclosure. Detailed Implementation

[0041] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0042] As used herein, the phrases “in one embodiment,” “according to one embodiment,” “in some embodiments,” etc., generally refer to the fact that a particular feature, structure, or characteristic following the phrase can be included in at least one embodiment of this disclosure. Therefore, a particular feature, structure, or characteristic can be included in more than one embodiment of this disclosure, such that these phrases do not necessarily refer to the same embodiment. As used herein, the terms “example,” “exemplary,” etc., are used to “serve as an example, instance, or illustration.” Any implementation, aspect, or design described herein as “example” or “exemplary” is not necessarily to be construed as preferred or superior to other implementations, aspects, or designs. Rather, the use of the terms “example,” “exemplary,” etc., is intended to present concepts in a specific manner.

[0043] Numerous interference sources exist in underground coal mines, affecting camera imaging. Specifically, substrate interference and external electromagnetic radiation alter the PN junction potential well depth of the photodetector, either causing leakage of collected photogenerated charges or "absorbing" hot electrons and interference-injected dummy charges from the substrate into the potential well. The system then treats these dummy charges as photogenerated charges generated by photons, thus interfering with imaging. Furthermore, the presence of both electromagnetic interference and optical noise in underground coal mines makes it impossible to determine the type of interference during image acquisition, hindering accurate image repair based on the disturbance type and resulting in unclear and inaccurate image display.

[0044] The underground mine is filled with numerous high-power electrical devices, which are major sources of electromagnetic interference: Mining equipment: Coal mining machines, tunneling machines, and electro-hydraulic control systems of hydraulic supports generate strong electromagnetic noise and surges during startup and operation due to their high-power motors and frequency converters. Transportation systems: Belt conveyors and locomotives (especially variable frequency speed control locomotives) generate broadband electromagnetic radiation. Power supply systems: Power frequency electromagnetic fields from high-voltage cables, and transient pulses generated by switchgear and transformers during operation. Communication and control equipment: Various sensors, controllers, and wireless communication devices (such as Wi-Fi and RFID) themselves occupy the spectrum, potentially causing co-channel or adjacent-channel interference. The unique tunnel structure (exacerbating and resonating): Coal mine tunnels can be viewed as irregular, non-ideal metallic waveguides or large resonant cavities. Metal structures: Steel rails, metal supports, pipes, cables, and other metal conductors crisscross within the tunnels. Reflection and multipath effect: Electromagnetic waves are constantly reflected and refracted on these metal surfaces, causing the signal to not propagate in a straight line, but to reach the receiving end through multiple paths, resulting in severe "multipath interference" and causing signal fading and distortion.

[0045] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0046] The following detailed description of some embodiments of the present invention is provided in conjunction with the accompanying drawings. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0047] like Figure 1 As shown, at least one disclosed embodiment provides a coal mine data processing system, including: an acquisition end, the acquisition end including: a control module, and an image sensor module electrically connected to the control module; the image sensor module is adapted to employ CID technology to store and release electrons in a potential well in the image sensor module; the control module is configured to control the image sensor module to acquire images of an underground coal mine area, acquire the total number of electrons in each pixel of each frame image, and create a buffer time period after acquiring each frame image, divide each frame into several consecutive micro-time periods of equal length within the buffer time period, acquire the number of electrons in each pixel in each micro-time period, and determine the type of disturbance to the pixel based on the change in the number of electrons, and repair the image according to the type of disturbance, thereby realizing accurate determination of the type of disturbance encountered during the acquisition of underground coal mine images, facilitating the selection of the corresponding algorithm to repair the image according to the type of disturbance, so as to display the image clearly and accurately.

[0048] In this embodiment, the buffer time period can be the time period corresponding to the next frame image. The control module processes the data in the corresponding micro-time period, and the processing in the micro-time period and the acquisition of the next frame image can be carried out in parallel.

[0049] In this embodiment, the image sensor needs to adopt CID technology, specifically the CID8825D, so that the image sensor architecture consists of two electrodes (row electrode and column electrode) for each pixel. The charge is stored in the potential well below the electrode intersection, which supports non-destructive readout. This means that when reading the pixel charge, the charge is not moved or cleared, and the charge is retained in the original potential well and can be read multiple times.

[0050] In this embodiment, electromagnetic interference is a globally synchronized disturbance; optically generated inherent noise interference, i.e., optical noise, is completely independent and random between pixels, corresponding to the positive and negative randomness of the calculation results within the same time period.

[0051] In this embodiment, the algorithm used to process electromagnetic interference can be a mean filter, and the algorithm used to process optical noise can be an adaptive Wiener filter.

[0052] In one alternative implementation, the control module is configured to acquire the electronic increment of each pixel in the corresponding micro-period:

[0053] ;

[0054] in, For the k-th pixel, the electron increment in the i-th micro-segment is strictly linearly proportional to the average PD current in that micro-segment; k is the pixel number, 1≤k≤K, K is the total number of pixels; i is the micro-segment number, 2≤i≤M, M is the total number of micro-segments in a single frame image, and there are M-1 effective micro-segments in a single frame. This represents the cumulative number of electrons in the k-th pixel at the end of the i-th micro-period.

[0055] In one optional implementation, the control module is configured to obtain the average electron increment of each pixel over the corresponding frame duration based on the electron increment of each pixel in the corresponding micro-period, which corresponds to the stable number of photogenerated electrons of that pixel in each micro-period.

[0056] ;

[0057] in, It represents the average electronic increment of the k-th pixel during the corresponding frame duration.

[0058] In this embodiment, the time of a single frame is extremely short (usually on the order of ms, and the intra-frame multisampling interval is on the order of μs). It can be assumed that the incident light intensity is constant within a single frame. Therefore, the average photocurrent of the photodiode (PD) is constant, and the ideal value of the increase in photogenerated electrons in each micro-period is fixed. The mean value is the optimal estimate of this ideal value.

[0059] In this embodiment, when all of the images in a frame are... If it is 0, then it can be directly assigned No additional calculations are required.

[0060] In one optional implementation, the control module is configured to obtain the fluctuation direction sign of each pixel in each micro-period based on the average electronic increment of each pixel in the corresponding frame duration:

[0061] ;

[0062] in, Let represent the sign of the fluctuation direction of the k-th pixel in the i-th micro-period, where +1 represents positive fluctuation, -1 represents negative fluctuation, and 0 represents no fluctuation.

[0063] In one optional implementation, the control module is configured to determine the disturbance category based on the total number of wave direction symbols of all pixels in a frame image. If there are at least two types of wave direction symbols in a frame image, and the percentage of the number of identical wave direction symbols in the total number of wave direction symbols is greater than or equal to a preset wave percentage, then the disturbance category is determined to be electromagnetic interference; otherwise, it is determined to be optical noise. If all wave direction symbols in a frame image are identical, then it is determined to be strong electromagnetic interference.

[0064] In this embodiment, when electromagnetic interference is identified, it can be verified by comparing the disturbance categories of adjacent frame images to accurately determine whether it is electromagnetic interference.

[0065] In this embodiment, an existing processing algorithm is selected based on the type of interference to remove noise and other noise generated by the corresponding interference, thereby completing the image restoration.

[0066] In this embodiment, strong electromagnetic interference can be verified by multiple adjacent frames. For example, if the current frame is judged to be strong electromagnetic interference, and several adjacent consecutive frames are also judged to be strong electromagnetic interference, it means that the judgment of strong electromagnetic interference is accurate. If the number of consecutive frames judged to be strong electromagnetic interference is less than a preset number of frames, which can be 5 frames, it is judged to be an occasional electromagnetic pulse on the circuit board.

[0067] In this embodiment, if the electromagnetic interference is determined to be strong or an intermittent electromagnetic pulse, the processing algorithm used is also a mean filter, etc.

[0068] like Figure 2 As shown, in one optional implementation, the acquisition end establishes communication with the display end, and the display end is configured to receive and display the repaired image sent by the acquisition end.

[0069] In this embodiment, the acquisition end can send the repaired image to the display end for direct display.

[0070] In one optional implementation, the acquisition end establishes communication with the display end, which is configured to receive images of the underground coal mine area, acquire the total number of electrons in each pixel of each frame image, and create a buffer time period after acquiring each frame image. During the buffer time period, each frame is divided into several consecutive micro-time periods of equal length, the number of electrons in each pixel of each micro-time period is acquired, and the type of disturbance to the pixel is determined based on the change in the number of electrons. The image is then repaired according to the type of disturbance, and the repaired image is displayed.

[0071] In this embodiment, the display end can be a host computer and a display. The control module can be electrically connected to the wireless module and establish communication with the host computer through wireless communication. The acquisition end can directly send the acquired raw images and corresponding data to the host computer, which will process and determine the type of interference, repair the image and display it at the host computer.

[0072] At least one other disclosed embodiment also provides a working method using the above-described coal mine data processing system, comprising: controlling an image sensor module to acquire images through a control module, acquiring the total number of electrons in each pixel of each frame image, creating a buffer time period after acquiring each frame image, dividing each frame into several consecutive micro-time periods of equal length within the buffer time period, acquiring the number of electrons in each pixel of each micro-time period, determining the type of disturbance to the pixel based on the change in the number of electrons, repairing the image according to the type of disturbance, and sending the repaired image to a display terminal for display.

[0073] In one optional implementation, the display terminal receives images of the underground coal mine area, obtains the total number of electrons in each pixel of each frame image, creates a buffer time period after obtaining each frame image, divides each frame into several consecutive micro-time periods of equal length within the buffer time period, obtains the number of electrons in each pixel in each micro-time period, determines the type of disturbance to the pixel based on the change in the number of electrons, repairs the image based on the type of disturbance, and displays the repaired image.

[0074] In one alternative implementation, the control module is configured to acquire the electronic increment of each pixel in the corresponding micro-period:

[0075] ;

[0076] in, Let i be the electron increment of the k-th pixel in the i-th micro-segment; k is the pixel number, 1≤k≤K, K is the total number of pixels; i is the micro-segment number, 2≤i≤M, M is the total number of micro-segments in a single frame image, and there are M-1 effective micro-segments in a single frame. This represents the cumulative number of electrons in the k-th pixel at the end of the i-th micro-period.

[0077] In one optional implementation, the control module is configured to obtain the average electronic increment of each pixel over the corresponding frame duration based on the electronic increment of each pixel in the corresponding micro-period:

[0078] ;

[0079] in, It represents the average electronic increment of the k-th pixel during the corresponding frame duration.

[0080] The control module is configured to obtain the sign of the fluctuation direction of each pixel in each micro-period based on the average electronic increment of each pixel in the corresponding frame duration period:

[0081] ;

[0082] in, Let represent the sign of the fluctuation direction of the k-th pixel in the i-th micro-period, where +1 represents positive fluctuation, -1 represents negative fluctuation, and 0 represents no fluctuation.

[0083] In one optional implementation, the control module is configured to determine the disturbance category based on the total number of wave direction symbols of all pixels in a frame image. If there are at least two types of wave direction symbols in a frame image, and the percentage of the number of identical wave direction symbols in the total number of wave direction symbols is greater than or equal to a preset wave percentage, then the disturbance category is determined to be electromagnetic interference; otherwise, it is determined to be optical noise. If all wave direction symbols in a frame image are identical, then it is determined to be strong electromagnetic interference.

[0084] In summary, this coal mine data processing system controls the image sensor module to acquire images through the control module, obtains the total number of electrons in each pixel of each frame, and creates a buffer time period after acquiring each frame. Within the buffer time period, each frame is divided into several consecutive micro-time periods of equal length, and the number of electrons in each pixel in each micro-time period is obtained. Based on the changes in the number of electrons, the type of disturbance to the pixel is determined, and repair is performed according to the type of disturbance. The repaired image is then sent to the display terminal for display. This system accurately determines the type of disturbance encountered during the underground coal mine image acquisition process, facilitating the selection of the corresponding algorithm for image repair based on the type of disturbance, resulting in a clear and accurate image display.

[0085] Based on the above-described preferred embodiments of the present invention, and through the foregoing description, those skilled in the art can make various changes and modifications without departing from the inventive concept. The technical scope of this invention is not limited to the contents of the specification, but must be determined according to the scope of the claims.

Claims

1. A coal mine data processing system, characterized in that, include: The acquisition end includes: a control module and an image sensor module electrically connected to the control module; The image sensor module is adapted to employ CID technology to store and release electrons in a potential well within the image sensor module; The control module is configured to control the image sensor module to acquire images of the underground coal mine area, acquire the total number of electrons in each pixel of each frame image, and create a buffer time period after acquiring each frame image. During the buffer time period, each frame is divided into several consecutive micro-time periods of equal length. The number of electrons in each pixel of each micro-time period is acquired, and the type of disturbance to the pixel is determined based on the change in the number of electrons. The image is then repaired based on the type of disturbance. The control module is configured to determine the disturbance type based on the total number of fluctuation direction symbols of all pixels in a frame image. If there are at least two types of fluctuation direction symbols in a frame image, and the percentage of the number of the same fluctuation direction symbols in the total number of fluctuation direction symbols is greater than or equal to a preset fluctuation percentage, then the disturbance type is determined to be electromagnetic interference; otherwise, it is determined to be optical noise. If all the wave direction signs in a frame of an image are the same, it is judged to be strong electromagnetic interference.

2. The coal mine data processing system as described in claim 1, characterized in that: The control module is configured to acquire the electronic increment of each pixel in the corresponding micro-period: ； in, Let i be the electron increment of the k-th pixel in the i-th micro-segment; k is the pixel number, 1≤k≤K, K is the total number of pixels; i is the micro-segment number, 2≤i≤M, M is the total number of micro-segments in a single frame image, and there are M-1 effective micro-segments in a single frame. This represents the cumulative number of electrons in the k-th pixel at the end of the i-th micro-period.

3. The coal mine data processing system as described in claim 2, characterized in that: The control module is configured to obtain the average electronic increment of each pixel over the corresponding frame duration based on the electronic increment of each pixel in the corresponding micro-period: ； in, It represents the average electronic increment of the k-th pixel during the corresponding frame duration.

4. The coal mine data processing system as described in claim 3, characterized in that: The control module is configured to obtain the sign of the fluctuation direction of each pixel in each micro-period based on the average electronic increment of each pixel in the corresponding frame duration period: ； in, Let represent the sign of the fluctuation direction of the k-th pixel in the i-th micro-period, where +1 represents positive fluctuation, -1 represents negative fluctuation, and 0 represents no fluctuation.

5. The coal mine data processing system as described in claim 1, characterized in that: The acquisition end establishes communication with the display end, and the display end is configured to receive and display the repaired image sent by the acquisition end.

6. A method for operating the coal mine data processing system as described in claim 1, characterized in that, include: The control module controls the image sensor module to acquire images, obtains the total number of electrons in each pixel of each frame image, and creates a buffer time period after acquiring each frame image. Within the buffer time period, each frame is divided into several consecutive micro-time periods of equal length. The number of electrons in each pixel in each micro-time period is obtained, and the type of disturbance to the pixel is determined based on the change in the number of electrons. The disturbance is repaired according to the type of disturbance, and the repaired image is sent to the display end for display. The control module is configured to determine the disturbance type based on the total number of fluctuation direction symbols of all pixels in a frame image. If there are at least two types of fluctuation direction symbols in a frame image, and the percentage of the number of the same fluctuation direction symbols in the total number of fluctuation direction symbols is greater than or equal to a preset fluctuation percentage, then the disturbance type is determined to be electromagnetic interference; otherwise, it is determined to be optical noise. If all the wave direction signs in a frame of an image are the same, it is judged to be strong electromagnetic interference.

7. The working method as described in claim 6, characterized in that: The control module is configured to acquire the electronic increment of each pixel in the corresponding micro-period: ； in, Let i be the electron increment of the k-th pixel in the i-th micro-segment; k is the pixel number, 1≤k≤K, K is the total number of pixels; i is the micro-segment number, 2≤i≤M, M is the total number of micro-segments in a single frame image, and there are M-1 effective micro-segments in a single frame. This represents the cumulative number of electrons in the k-th pixel at the end of the i-th micro-period.

8. The working method as described in claim 7, characterized in that: The control module is configured to obtain the average electronic increment of each pixel over the corresponding frame duration based on the electronic increment of each pixel in the corresponding micro-period: ； in, The mean electronic increment of the k-th pixel during the corresponding frame duration; The control module is configured to obtain the sign of the fluctuation direction of each pixel in each micro-period based on the average electronic increment of each pixel in the corresponding frame duration period: ； in, Let represent the sign of the fluctuation direction of the k-th pixel in the i-th micro-period, where +1 represents positive fluctuation, -1 represents negative fluctuation, and 0 represents no fluctuation.

Images