Infrared image de-capping effect method based on planck radiation calibration

Abstract

This invention relates to the technical field of infrared image denoising and enhancement, and particularly provides a method for removing the "pot lid effect" from infrared images based on Planck radiometric calibration. Applied to an infrared imaging system, the method includes the following steps: S10, acquiring an original infrared image; S20, performing adaptive median filtering on each pixel in the original infrared image to obtain a grayscale image; S30, constructing a calibration model between grayscale values ​​and radiance measurements based on Planck's law, and obtaining a calibration coefficient matrix accordingly; S40, using the calibration coefficient matrix to perform radiometric correction on the grayscale image to obtain a radiance image. This invention, by organically combining adaptive median filtering with Planck radiometric calibration, ensures both the purity of the image input and the accuracy of the physical output, and can remove the "pot lid effect" caused by uneven energy reception between the detector's periphery and central region.

Description

Technical Field

[0001] This invention belongs to the field of infrared image denoising and enhancement technology, and particularly relates to a method for removing the pot lid effect from infrared images based on Planck radiation calibration. Background Technology

[0002] Infrared imaging systems are widely used in military and civilian fields due to their excellent concealment, anti-interference capabilities, and all-weather operation.

[0003] An infrared imaging system is a photoelectric detection device that receives the infrared radiation emitted by a target object and converts it into a visible image. For example... Figure 1 As shown, an infrared imaging system typically consists of core modules such as an infrared optical module 10, a detector 20, a data processing module 30, and a display module 40. The infrared optical module 10 is responsible for collecting and focusing the infrared radiation emitted by the target; the detector 20, as the core of the system, converts this invisible infrared radiation into weak electrical signals and outputs corresponding infrared image data; the data processing module 30 processes this infrared image data using complex algorithms, converting it into a standard video image signal; and the display module 40 presents the processed electrical signals as a thermal image observable by the human eye, thus fully realizing the conversion process from "perceiving heat" to "visible image".

[0004] In infrared imaging systems, such as Figure 2 The "pot lid effect" shown is a common image non-uniformity phenomenon, primarily stemming from design limitations of the infrared optical module. Specifically, due to heat dissipation issues in the infrared optical system structure and uneven energy reception between the detector's periphery and center due to the lens, the lens edges block obliquely incident light. This results in light energy from the target's center reaching the detector efficiently, while light energy from the edge fields is partially reduced. Consequently, even against a uniformly radiated background, the light intensity received by the detector's central pixel is significantly higher than that of the edge pixels. Furthermore, the brightness difference between the image's center and edge regions is further exacerbated during the cold start-up and thermal equilibrium process. This uneven energy distribution, after photoelectric conversion by the detector and circuit readout, ultimately manifests as a bright center and dark periphery in the displayed image, named for its pot lid-like shape. This severely impacts target detection and recognition tasks.

[0005] Therefore, how to denoise and correct infrared images with the pot lid effect to improve the observation effect remains an urgent problem to be solved in this field. Summary of the Invention

[0006] In view of this, the present invention aims to provide a method for removing the pot lid effect from infrared images based on Planck radiation calibration, so as to remove the pot lid effect caused by uneven energy reception between the outer and central regions of the detector.

[0007] To achieve the above objectives, the technical solution created by this invention is implemented as follows: In a first aspect, the present invention provides a method for removing the "pot lid effect" from infrared images based on Planck radiation calibration, applicable to infrared imaging systems. The method includes the following steps: S10. Acquire the raw infrared image; S20. Perform adaptive median filtering on each pixel in the original infrared image to obtain a grayscale image; S30. Based on Planck's law, construct a calibration model between grayscale values ​​and measured radiance values, and obtain the calibration coefficient matrix accordingly. S40. Perform radiometric correction on the grayscale image using the calibration coefficient matrix to obtain a radiance image.

[0008] Furthermore, step S20 includes: S21. Set a filter window centered on the current pixel, and set the maximum size of the filter window; S22. Calculate the maximum gray value, median gray value, and minimum gray value within the filtering window; S23. Determine whether the median grayscale is valid. If yes, proceed to step S25; otherwise, proceed to step S24. S24. Increase the filter window and determine whether the filter window is larger than the maximum size. If not, return to step S22; if yes, proceed to step S27. S25. Determine whether the current pixel is noise. If yes, proceed to step S26; otherwise, proceed to step S27. S26. Output the median gray level; S27. Output the grayscale value of the current pixel.

[0009] Furthermore, in step S23, if the median gray value is greater than the minimum gray value and less than the maximum gray value, then the median gray value is determined to be valid. In step S25, if the gray value of the current pixel is greater than the minimum gray value and less than the maximum gray value, then the current pixel is determined to be noise.

[0010] Furthermore, step S30 includes: S31. Acquire blackbody images at each preset temperature point and obtain the grayscale value G of the blackbody image; S32. Calculate the measured radiance value of the blackbody at each preset temperature point. ; S33, Construct the grayscale value G and the radiance. The calibration model between: ; in, This is the gain coefficient; This is the bias coefficient; S34. Calculate the gain coefficient and bias coefficient corresponding to each pixel in the blackbody image, and generate the corresponding gain coefficient matrix and bias coefficient matrix, wherein the gain coefficient matrix and bias coefficient matrix are the calibration coefficient matrix.

[0011] Furthermore, in step S31, the preset temperature points are the various temperature points of the blackbody from room temperature to the system saturation temperature with a preset temperature step size; the blackbody image is an image generated by performing time-domain averaging on multiple frames of original images continuously acquired at the same preset temperature point.

[0012] Furthermore, step 32 includes: According to Planck's law of radiation, the blackbody at the preset temperature point is calculated. wavelength Radiance at the location : ; in, The first radiation constant ( ); The second radiation constant ( ); wavelength The surface emissivity of the object at that location, and ; According to the radiance Calculate the blackbody at the preset temperature point At that time, the radiance measurement value of the infrared imaging system for: ; in, The transmittance of the infrared imaging system.

[0013] Furthermore, step S40 includes: The grayscale image is subjected to pixel-by-pixel radiometric correction using the calibration coefficient matrix to obtain the radiance value corresponding to each pixel. , ; in, For a pixel ( x,y The grayscale value in the grayscale image.

[0014] Furthermore, prior to step S10, the process includes: powering on the infrared imaging system for cooling and non-uniformity correction.

[0015] Secondly, the present invention provides an infrared imaging system, including an infrared optical module, a detector, a data processing module, and a display module; the data processing module includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, which, when executed, enable the at least one processor to perform the method for removing the pot lid effect from infrared images based on Planck radiation calibration as described in any embodiment of the present invention.

[0016] Thirdly, the present invention provides a non-transitory computer-readable storage medium storing computer instructions, the computer instructions being used to cause a processor to execute the method for removing the pot lid effect from infrared images based on Planck radiation calibration as described in any embodiment of the present invention.

[0017] Compared with the prior art, the present invention can achieve the following beneficial effects: (1) The method for removing the pot lid effect of infrared images by Planck radiation calibration described in this invention combines adaptive median filtering with Planck radiation calibration, which ensures both the purity of the image input and the accuracy of the physical output, and can remove the pot lid effect caused by uneven energy reception in the outer and central regions of the detector.

[0018] (2) The adaptive median filter described in this invention can effectively remove impulse noise (salt and pepper noise) from the original infrared image. Through a two-layer judgment mechanism, it first ensures that the median value within the filtering window is not noise, and then judges whether the center pixel is an outlier, thereby achieving accurate identification and removal of different types of noise and providing a clean image data source for subsequent processing.

[0019] (3) The present invention corrects the pixel by gain coefficient and bias coefficient, compresses pixels with high response rate and raises pixels with low response rate, eliminates pixel response inconsistency, makes the radiation brightness image of uniform target present a uniform distribution, and effectively removes the pot lid effect. Attached Figure Description

[0020] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments and descriptions of the invention are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings: Figure 1 This is a schematic diagram of the infrared imaging system. Figure 2 A schematic diagram illustrating the pot lid effect generated by an infrared optical system; Figure 3 A schematic flowchart of the infrared image removal method based on Planck radiation calibration described in the embodiments of the present invention; Figure 4 This is an illustration of the effect of removing the pot lid effect provided by the present invention; Figure 5 This is a flowchart illustrating step S20 of the infrared image removal method based on Planck radiation calibration described in an embodiment of the present invention.

[0021] Explanation of reference numerals in the attached figures: 10. Infrared optical module; 20. Detector; 30. Data processing module; 40. Display module. Detailed Implementation

[0022] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only for explaining the invention and do not constitute a limitation thereof. Similar elements in different embodiments are referred to by associated similar element reference numerals. In the following embodiments, many details are described to facilitate a better understanding of the invention. However, those skilled in the art will readily recognize that some features may be omitted in different situations, or may be replaced by other elements, materials, or methods. In some cases, some operations related to the invention are not shown or described in the specification. This is to avoid obscuring the core parts of the invention with excessive description. For those skilled in the art, detailed description of these related operations is not necessary; they can fully understand the related operations based on the description in the specification and general technical knowledge in the art.

[0023] It should be noted that, unless otherwise specified, the embodiments and features described in this invention can be combined to form various implementations. Furthermore, the order of the steps or actions in the method description can be changed or adjusted in a manner readily apparent to those skilled in the art. Therefore, the various orders in the specification and drawings are merely for the clear description of a particular embodiment and do not imply a mandatory order, unless otherwise stated that a particular order must be followed.

[0024] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," and "counterclockwise," etc., indicating orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation on this invention. The term "based on" should be understood as "at least partially based on." Furthermore, the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, features defined with "first," "second," etc., may explicitly or implicitly include one or more of that feature. In the description of this invention, unless otherwise stated, "a plurality of" means two or more, and the term "including" means "including but not limited to." Various embodiments of the present invention may exist in the form of a range; it should be understood that the description in the form of a range is merely for convenience and brevity and should not be construed as a rigid limitation on the scope of the invention; therefore, it should be considered that the range description has specifically disclosed all possible sub-ranges and single numerical values ​​within that range; for example, it should be considered that the range description from 1 to 6 has specifically disclosed sub-ranges, such as from 1 to 3, from 1 to 4, from 1 to 5, from 2 to 4, from 2 to 6, from 3 to 6, etc., and single numbers within the range, such as 1, 2, 3, 4, 5, and 6, regardless of the range. Furthermore, whenever a numerical range is referred to herein, it means including any referenced number (fraction or integer) within the range referred to.

[0025] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art will understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0026] The invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0027] Example 1 This embodiment provides a method for removing the pot lid effect from infrared images based on Planck radiation calibration, which is applied to an infrared imaging system. The infrared imaging system includes core modules such as an infrared optical module, a detector, a data processing module, and a display module.

[0028] like Figure 3 As shown, the method for removing the "pot lid effect" from infrared images based on Planck radiation calibration includes the following steps: S10. Acquire the raw infrared image; The raw infrared image is image data composed of raw digital quantization values ​​(DN values) output by the detector. The output of an infrared detector is typically 14-bit precision. Taking a detector with a resolution of 640×512 as an example, its output raw image contains 640×512 pixels, and the grayscale value (i.e., DN value) of each pixel ranges from 0 to 16383 (corresponding to 14-bit quantization levels, for a total of 16384 levels).

[0029] To ensure the detector's physical state is optimal before operation, in practice, the infrared imaging system can be powered on for cooling and non-uniformity correction before step S10. This reduces the detector's thermal noise, improves sensitivity, and enables the detector to operate stably in low-temperature environments. Simultaneously, two-point correction (or single-point correction) is performed using the shutter or an internal blackbody to initially eliminate the detector's inherent noise at room temperature, preparing for subsequent high-precision radiation measurements.

[0030] Cooling is typically achieved through a Stirling cooling system integrated within the detector. Its main function is to prevent output drift (temperature drift) caused by temperature changes, and cooling is usually required after each power-on. Non-uniformity correction is a technique used to compensate for inconsistent responses to the same infrared radiation between different pixels. Using a shutter or an internal blackbody for two-point or single-point correction is just one common method for achieving non-uniformity correction; other methods (such as scene-based correction) can also be used, and this invention does not limit this approach.

[0031] S20. Perform adaptive median filtering on each pixel in the original infrared image to obtain a grayscale image; Raw infrared images typically contain random noise and salt-and-pepper noise (dead pixels). Adaptive median filtering, compared to ordinary median filtering, better preserves image details (such as edges and small targets) while effectively filtering out noise.

[0032] S30. Based on Planck's law, construct a calibration model between grayscale values ​​and measured radiance values, and obtain the calibration coefficient matrix accordingly. According to Planck's law of radiation, there is a one-to-one correspondence between the radiance of any object in nature and its temperature.

[0033] Based on Planck's radiation law, a blackbody from a surface source is used to perform radiometric calibration on the infrared imaging system. A calibration model is constructed, and the calibration coefficient matrix of the infrared imaging system is obtained. The calibration coefficient matrix includes a gain coefficient matrix and a bias coefficient matrix.

[0034] S40. Perform radiometric correction on the grayscale image using the calibration coefficient matrix to obtain a radiance image.

[0035] The grayscale image is corrected pixel-by-pixel using the calibration coefficient matrix in step S30 and mapped to the radiance space to obtain the radiance value corresponding to each pixel in the grayscale image. This embodiment organically integrates image preprocessing and radiometric calibration to form a complete infrared image processing chain, which can effectively remove the pot lid effect in infrared images. The effect of removing the pot lid effect using the infrared image pot lid effect removal method based on Planck radiometric calibration provided by this invention is shown in the figure below. Figure 4 As shown.

[0036] Example 2 Based on the above embodiment 1, this embodiment provides a method for removing the pot lid effect from infrared images based on Planck radiation calibration, which also includes steps S10 to S40, consistent with the above embodiment 1, and will not be repeated here.

[0037] like Figure 5 In this embodiment, step S20 includes: S21. Set a filter window centered on the current pixel, and set the maximum size of the filter window; For pixels The adaptive median filter window at that location, This is the maximum allowed window size, i.e., the maximum size of the filtering window; This represents the grayscale value of the pixel.

[0038] S22. Calculate the maximum gray value, median gray value, and minimum gray value within the filtering window; For filtering window The minimum grayscale value in For filtering window The median gray level in the middle, For filtering window The maximum grayscale value.

[0039] S23. Determine whether the median grayscale is valid. If yes, proceed to step S25; otherwise, proceed to step S24. If the median gray value is greater than the minimum gray value and less than the maximum gray value, then the median gray value is determined to be valid.

[0040] In practical implementation, calculations can be performed. .

[0041] if ,at this time satisfy ,show If it is not noise and the median gray level is valid, then proceed to step S25. if z 1≤0, or z 2≥0, which indicates If it is noise and the median gray level is not effective, then proceed to step S24 to increase the size of the filter window.

[0042] S24. Increase the filter window and determine whether the filter window is larger than the maximum size. If yes, proceed to step S27; otherwise, return to step S22. In this step, first increase the window size. S xy The size of the filter window is then used to determine whether the increased size is greater than the maximum size.

[0043] If so, it means that the size of the increased filter window is larger than the maximum size. S xy > S max Then proceed to step S27 and output the grayscale value of the current pixel.

[0044] If not, this means that the size of the increased filter window is less than or equal to the maximum size, i.e. S xy ≤ S max Then return to step S22, that is, repeat steps S22 and S23.

[0045] S25. Determine whether the current pixel is noise. If yes, proceed to step S26; otherwise, proceed to step S27. If the gray value of the current pixel is greater than the minimum gray value and less than the maximum gray value, then the current pixel is determined not to be noise.

[0046] In practical implementation, calculations can be performed. .

[0047] if If the value is true, it indicates that the current pixel is not noise, then proceed to step S27 and output the grayscale value of the current pixel. In other words, if... and None of them are noise, so they should be output first. .

[0048] If g1≤0 or g2≥0, it indicates that the current pixel is noise, then proceed to step S27 and output the median gray value. .

[0049] S26. Output the median gray level. ; S27. Output the grayscale value of the current pixel. .

[0050] Traditional median filtering, while effective at denoising, often results in blurred image edges and loss of detail. This embodiment employs an adaptive median filtering algorithm that first determines if the median within a window is noise. If the median is abnormal, the window is expanded to continue searching for a reliable median until the maximum window is reached. Even at the maximum window, if the median is still abnormal, the original value is retained, which helps preserve detail in extreme cases. In the final output, if neither the current pixel nor the median is noise, the original value is retained first, maximizing the preservation of image edges, textures, and small object information, thus avoiding the image blurring problems caused by traditional filtering methods. This processing not only removes point noise and bad pixel noise but also better preserves image detail.

[0051] Example 3 Based on Embodiment 1 or 2 above, this embodiment provides a method for removing the pot lid effect from infrared images based on Planck radiation calibration, including the steps S10 to S40 described above; step S30 includes: S31. Acquire blackbody images at each preset temperature point and obtain the grayscale value G of the blackbody image; In this embodiment, a surface source blackbody (hereinafter referred to as blackbody) is used as the standard radiation source, and the above-mentioned preset temperature points are the various temperature points of the blackbody from room temperature to system saturation temperature with preset step temperature; the above-mentioned preset step temperature can be 10℃.

[0052] In practice, the aforementioned blackbody image can be generated by averaging multiple frames of original images continuously acquired at the same preset temperature point in the time domain.

[0053] This step involves acquiring blackbody images at different preset temperature points, and obtaining the grayscale value G of each pixel in the blackbody image at those different preset temperature points.

[0054] S32. Calculate the measured radiance value of the blackbody at each preset temperature point. ; According to Planck's law of radiation, the blackbody at the preset temperature point is calculated. wavelength Radiance at the location : ; in, The first radiation constant ( ); The second radiation constant ( ); wavelength The surface emissivity of the object at that location, and .

[0055] According to the radiance Calculate the blackbody at the preset temperature point At that time, the radiance measurement value of the infrared imaging system for: ; in, The transmittance of the infrared imaging system.

[0056] As can be seen, there is a corresponding radiance measurement value at each preset temperature point.

[0057] S33, Construct the grayscale value G and the measured radiance value. The calibration model between them is: ; in, This is the gain coefficient; This is the bias coefficient.

[0058] S34. Calculate the gain coefficient and bias coefficient corresponding to each pixel in the blackbody image, and generate the corresponding gain coefficient matrix and bias coefficient matrix, wherein the gain coefficient matrix and bias coefficient matrix are the calibration coefficient matrix.

[0059] Each pixel has its own unique gain coefficient K and bias coefficient B; during calculation, data from the same pixel at at least two different preset temperature points (grayscale value G and radiance) are used. The corresponding gain coefficient K and bias coefficient B can then be obtained.

[0060] The two-dimensional array of gain coefficients K of all pixels in a blackbody image is the gain coefficient matrix; the two-dimensional array of bias coefficients B of all pixels in a blackbody image is the bias coefficient matrix.

[0061] With 640 Taking a 512 infrared image as an example, a 640 can be obtained through the above infrared radiometric calibration. The gain coefficient matrix and bias coefficient matrix of 512.

[0062] Example 4 Based on Embodiment 3 above, this embodiment provides a method for removing the "pot lid effect" from infrared images based on Planck radiation calibration, including steps S10 to S40 as described above. Step S40 includes: The grayscale image is subjected to pixel-by-pixel radiometric correction using the calibration coefficient matrix to obtain the values ​​of each pixel.x, y ) corresponding radiance value .

[0063]

[0064] in, For a pixel ( x,y The grayscale value in the grayscale image; B ( x,y ) is a pixel ( x,y The bias coefficient, K ( x,y ) is a pixel ( x,y The gain coefficient of ).

[0065] By iterating through each pixel of the grayscale image obtained in step S20, the corresponding coefficients are taken from the calibration coefficient matrix and substituted into the calculation to obtain the corresponding radiance value, thus transforming the grayscale image into a radiance map.

[0066] Example 5 This invention provides an infrared imaging system, including an infrared optical module, a detector, a data processing module, and a display module; the data processing module includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, which, when executed, enable the at least one processor to perform the method for removing the pot lid effect from infrared images based on Planck radiation calibration as described in any embodiment of the present invention.

[0067] This invention also provides a non-transitory computer-readable storage medium storing computer instructions, on which a computer program is stored. When the program is executed by a processor, it implements the method for removing the pot lid effect from infrared images based on Planck radiation calibration provided in all embodiments of this invention.

[0068] The computer storage medium of this invention can be any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. More specific examples (a non-exhaustive list) of computer-readable storage media include: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this document, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0069] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, capable of sending, propagating, or transmitting programs for use by or in connection with an instruction execution system, apparatus, or device.

[0070] The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to wireless, wired, optical fiber, RF, etc., or any suitable combination thereof. The computer program code for performing the operations of this invention can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages—such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer can be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0071] This invention also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described method for removing the pot lid effect from infrared images based on Planck radiation calibration.

[0072] It should be understood that the various forms of processes shown above can be used to reorder, add, or delete steps. For example, the steps described in this invention disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this invention can be achieved, and this is not limited herein.

[0073] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. An infrared image de-capping method based on Planck radiation scaling, applied to an infrared imaging system, characterized in that, The method includes the following steps: S10. Acquire the raw infrared image; S20. Perform adaptive median filtering on each pixel in the original infrared image to obtain a grayscale image; S30. Based on Planck's law, construct a calibration model between grayscale values ​​and measured radiance values, and obtain the calibration coefficient matrix accordingly. S40. Perform radiometric correction on the grayscale image using the calibration coefficient matrix to obtain a radiance image.

2. The Planckian radiance scaling based method for removing the pot cover effect from an infrared image according to claim 1, wherein: Step S20 includes: S21. Set a filter window centered on the current pixel, and set the maximum size of the filter window; S22. Calculate the maximum gray value, median gray value, and minimum gray value within the filtering window; S23. Determine whether the median grayscale is valid. If yes, proceed to step S25; otherwise, proceed to step S24. S24. Increase the filter window and determine whether the filter window is larger than the maximum size. If not, return to step S22; if yes, proceed to step S27. S25. Determine whether the current pixel is noise. If yes, proceed to step S26; otherwise, proceed to step S27. S26. Output the median gray level; S27. Output the grayscale value of the current pixel.

3. The method for removing the "pot lid effect" from infrared images based on Planck radiation calibration according to claim 2, characterized in that: In step S23, if the median gray value is greater than the minimum gray value and less than the maximum gray value, then the median gray value is determined to be valid. In step S25, if the gray value of the current pixel is greater than the minimum gray value and less than the maximum gray value, then the current pixel is determined to be noise.

4. The Planckian radiance scaling based method for removing the pot cover effect from an infrared image of claim 1, wherein, Step S30 includes: S31. Acquire blackbody images at each preset temperature point and obtain the grayscale value G of the blackbody image; S32, calculating the corresponding radiation brightness measurement value of the black body at each preset temperature point ; S33, constructing a calibration model between the gray value G and the radiation brightness between the gray value G and the radiation brightness ； wherein, is a gain coefficient; is a bias coefficient; S34. Calculate the gain coefficient and bias coefficient corresponding to each pixel in the blackbody image, and generate the corresponding gain coefficient matrix and bias coefficient matrix, wherein the gain coefficient matrix and bias coefficient matrix are the calibration coefficient matrix.

5. The Planckian radiance scaling based method for removing the pot cover effect from an infrared image of claim 4, wherein: In step S31, the preset temperature points are the various temperature points of the blackbody from room temperature to the system saturation temperature with a preset temperature step size; the blackbody image is an image generated by performing time-domain averaging on multiple frames of original images continuously acquired at the same preset temperature point.

6. The Planckian radiance scaling based method for removing the pot cover effect from an infrared image of claim 4, wherein, Step 32 includes: According to Planck's radiation law, the radiation luminance of the black body at the preset temperature point wavelength :​ ； wherein is a first radiation constant (h = 6.626 x 10"34Js, c = 3.00 x 108m / s, k = 1.38 x 10"23J / K); ; is a second radiation constant (h = 6.626 x 10"34Js, c = 3.00 x 108m / s, k = 1.38 x 10"23J / K); ; is a wavelength of the object surface emissivity, and ; According to the radiance Calculate the blackbody at the preset temperature point At that time, the radiance measurement value of the infrared imaging system for: ； in, The transmittance of the infrared imaging system.

7. The method for removing the "pot lid effect" from infrared images based on Planck radiation calibration according to claim 4, characterized in that, Step S40 includes: The grayscale image is subjected to pixel-by-pixel radiometric correction using the calibration coefficient matrix to obtain the radiance value corresponding to each pixel. , ； in, For a pixel ( x,y The grayscale value in the grayscale image.

8. The method for removing the "pot lid effect" from infrared images based on Planck radiation calibration according to claim 1, characterized in that, Before step S10, the following steps are included: powering on the infrared imaging system for cooling and non-uniformity correction.

9. An infrared imaging system, comprising an infrared optical module, a detector, a data processing module, and a display module; characterized in that, The data processing module includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform the method for removing the pot lid effect from infrared images based on Planck radiometric calibration as described in any one of claims 1 to 8.

10. A non-transitory computer-readable storage medium storing computer instructions, characterized in that, The computer instructions are used to cause the processor to execute the method for removing the pot lid effect from infrared images based on Planck radiation calibration as described in any one of claims 1 to 8.

Images