Ccd bad pixel correction method for display panel low brightness bright spot detection

Abstract

The application belongs to the technical field of display panel detection, and discloses a display panel low-brightness bright spot detection correction method based on CCD sensing, which comprises the following steps: selecting a panel without bright spot defects and fixing a full-black display picture, configuring a CCD imaging system to take picture parameters; keeping the CCD position unchanged, continuously collecting multiple images at a preset interval; obtaining a fused image through pixel-level weighted fusion, generating a normalized weight map based on the fused image, and performing edge-sensitive interpolation on the fused image to obtain an interpolated image; fusing the three images in multiple modes to obtain a correction image that eliminates the interference of CCD bright bad spots, which is used for display panel low-brightness bright spot detection. Through the above method, the interference of CCD bad spots is effectively eliminated, and the accuracy and stability of subsequent display panel low-brightness bright spot detection are improved.

Description

Technical Field

[0001] This invention relates to the field of display panel testing technology, and in particular to a CCD bright spot correction method for detecting low-brightness bright spots in display panels. Background Technology

[0002] The low-brightness bright spot detection item in the image quality inspection of display panels involves observing whether bright spots exist on the display panel when the panel brightness is at 10%. These bright spots are typically the size of 1-3 LEDs, measured in micrometers (µm), requiring very high detection accuracy. As a visual sensor, CCDs suffer from inherent hardware limitations in low-brightness bright spot detection, namely the presence of dead pixels. Furthermore, CCDs capture images of the panel in out-of-focus mode, causing bright spots to be amplified through a mapping relationship. This significantly interferes with the detection of low-brightness bright spots on display panels, and traditional bright spot correction methods cannot effectively address this issue.

[0003] The above content is only used to help understand the technical solution of the present invention and does not represent an admission that the above content is prior art. Summary of the Invention

[0004] The main objective of this invention is to provide a CCD bright spot correction method for detecting low-brightness bright spots in display panels, aiming to solve the technical problem that the inherent defects of CCD imaging devices and the defocusing magnification effect interfere with the detection of low-brightness bright spots in display panels.

[0005] To achieve the above objectives, the present invention provides a CCD bright spot correction method for detecting low-brightness bright spots in display panels. The CCD bright spot correction method for detecting low-brightness bright spots in display panels includes the following steps: Select a display panel without bright spots and control the display panel to display a completely black image. The imaging parameters of the CCD imaging system are configured, including at least focal length, aperture, exposure time, gain, white balance parameters, working distance, and gamma parameters. After the CCD imaging system is configured, the spatial position of the CCD imaging system remains unchanged, and multiple images of the display panel are continuously acquired at preset time intervals. Pixel-level weighted fusion processing is performed on the acquired images to obtain a fused image; Based on the fused image, a bright spot region mask map is generated, and a normalized weight map is generated through inverse mask transformation and Euclidean distance transformation calculation. The fused image is subjected to edge-sensitive interpolation to obtain an interpolated image; The fused image, the weighted image, and the interpolated image are fused in a multimodal manner to obtain a corrected image that eliminates CCD bright spot interference. The corrected image that eliminates CCD bright spot interference is used for low-brightness bright spot detection on the display panel.

[0006] In one embodiment, the step of performing pixel-level weighted fusion processing on the acquired multiple images to obtain a fused image includes: For each pixel at the same spatial coordinate in each image, perform pixel-level RGB three-channel weighted summation according to preset normalization weight coefficients.

[0007] In one embodiment, the formula for the pixel-level weighted fusion processing is:

[0008] Among them, I fused (x,y) represents the pixel value of the fused image at coordinates (x,y), n is the total number of images acquired, and w k I represents the preset normalized weight coefficients for the k-th image. k (x,y) represents the pixel value of the k-th image at coordinates (x,y).

[0009] In one embodiment, the step of generating a bright spot region mask map based on the fused image, and generating a normalized weight map through inverse mask transformation and Euclidean distance transformation calculation, includes: The mask image of the bright spot region is generated based on absolute threshold binarization, and the calculation formula is as follows:

[0010] The formula for calculating the reverse mask is as follows:

[0011] The Euclidean distance transformation is performed using the following formula:

[0012] The normalized weighted graph W is generated using the following formula:

[0013] Where M is the mask image, This represents the pixel values ​​in the merged image. For the reverse mask, W(x,y) is the normalized weight map, and Dmax = max(x,y)D(x,y)Dmax = max(x,y)D(x,y). Value 10 -5 .

[0014] In one embodiment, performing edge-sensitive interpolation on the fused image to obtain an interpolated image includes: The gradient field is calculated using the following formula:

[0015] The gradient direction vector is calculated using the following formula:

[0016] The adaptive sampling point is determined by the following formula:

[0017]

[0018] The direction interpolation formula is as follows:

[0019] in, , For the Scharr operator, , β takes the value 1.5. .

[0020] In one embodiment, the formula for multimodal fusion is:

[0021] Where Dst is the final corrected image, I fused For image fusion, W is the weight map, and I... interp This is an interpolated image.

[0022] In one embodiment, the preset time interval is 60 seconds, and the number of images continuously acquired is 10.

[0023] Furthermore, to achieve the above objectives, the present invention also proposes a CCD bright spot correction device for detecting low-brightness bright spots in a display panel. The CCD bright spot correction device for detecting low-brightness bright spots in a display panel includes: a memory, a processor, and a CCD bright spot correction program for detecting low-brightness bright spots in a display panel stored in the memory and executable on the processor. The CCD bright spot correction program for detecting low-brightness bright spots in a display panel is configured to implement the steps of the CCD bright spot correction method for detecting low-brightness bright spots in a display panel as described above.

[0024] Furthermore, to achieve the above objectives, the present invention also proposes a storage medium storing a CCD bright spot correction program for detecting low-brightness bright spots in a display panel. When the CCD bright spot correction program for detecting low-brightness bright spots in a display panel is executed by a processor, it implements the steps of the CCD bright spot correction method for detecting low-brightness bright spots in a display panel as described above.

[0025] Furthermore, to achieve the above objectives, the present invention also proposes a computer program product, which stores a CCD bright spot correction program for detecting low-brightness bright spots in a display panel. When the CCD bright spot correction program for detecting low-brightness bright spots in a display panel is executed by a processor, it implements the steps of the CCD bright spot correction method for detecting low-brightness bright spots in a display panel as described above.

[0026] This invention selects a panel without bright spots and displays a completely black screen. The CCD imaging system's image acquisition parameters are configured. Keeping the CCD position constant, multiple images are continuously acquired at preset intervals. A fused image is obtained through pixel-level weighted fusion. A normalized weight map is generated based on the fused image, and edge-sensitive interpolation is performed on the fused image to obtain an interpolated image. These three images are then fused in a multimodal manner to obtain a corrected image that eliminates interference from CCD bright spots, which is used for low-brightness bright spot detection on the display panel. This method effectively eliminates CCD bad pixel interference, improving the accuracy and stability of subsequent low-brightness bright spot detection on the display panel. Attached Figure Description

[0027] Figure 1 This is a flowchart illustrating the first embodiment of the CCD bright spot correction method for detecting low-brightness bright spots in display panels according to the present invention. Figure 2 This is a schematic diagram of the overall architecture of the detection equipment in the CCD bright spot correction method for low brightness bright spot detection of display panels according to the present invention; Figure 3 This is a schematic diagram of image fusion in the CCD bright spot correction method for low-brightness bright spot detection of display panels according to the present invention.

[0028] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0029] It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the invention.

[0030] This invention provides a CCD bright spot / dead pixel correction method for detecting low-brightness bright spots in display panels, referring to... Figure 1 , Figure 1This is a flowchart illustrating the first embodiment of a CCD bright spot correction method for detecting low-brightness bright spots in display panels according to the present invention.

[0031] In this embodiment, the CCD bright spot correction method for detecting low-brightness bright spots on a display panel includes the following steps: Step S10: Select a display panel without bright spots and control the display panel to display a completely black screen.

[0032] In this embodiment, the executing entity is a CCD bright spot correction device for detecting low-brightness bright spots on a display panel. This CCD bright spot correction device for detecting low-brightness bright spots on a display panel has functions such as data processing, data communication, and program execution. The CCD bright spot correction device for detecting low-brightness bright spots on a display panel can be a computer terminal device or other network device, or other devices with similar functions. This embodiment does not limit the scope of the application.

[0033] It's important to note that the low-brightness bright spot detection item in the display panel image quality inspection involves observing the display panel for bright spots when its brightness is at 10%. These bright spots are typically the size of 1-3 LEDs, measured in micrometers (µm), requiring very high detection accuracy. As a visual sensor, CCDs, due to inherent hardware limitations (the presence of dead pixels) and the fact that CCDs capture images of the panel in out-of-focus mode, tend to amplify bright spots through a mapping relationship. This significantly interferes with the detection of low-brightness bright spots on the display panel, and traditional bright spot correction methods cannot effectively address this issue.

[0034] To address the aforementioned technical issues, this embodiment selects a panel without bright spot defects and fixes it to display a completely black screen. The CCD imaging system's image acquisition parameters are configured. Keeping the CCD position unchanged, multiple images are continuously acquired at preset intervals. A fused image is obtained through pixel-level weighted fusion. A normalized weight map is generated based on the fused image, and edge-sensitive interpolation is performed on the fused image to obtain an interpolated image. The three images are then fused in a multimodal manner to obtain a corrected image that eliminates CCD bright spot interference, which is used for low-brightness bright spot detection on the display panel. This method effectively eliminates CCD bad spot interference, improving the accuracy and stability of subsequent low-brightness bright spot detection on the display panel. Specifically, it can be implemented as follows.

[0035] In its specific implementation, this embodiment first proposes a detection device, which can be referred to as... Figure 2As shown, it consists of a CCD imaging device, a display panel, and a host computer. The CCD imaging device is equipped with a CCD imaging device. The CCD imaging device mainly collects image data from the central control screen, and the host computer is used to control imaging, CCD bad pixel repair, low brightness bright spot detection, and display of detection results. Based on the above detection device, the main process in this embodiment includes the following steps: (1) Display panel pushes the image, selects a good panel, and displays a black screen. (2) Set the imaging system image acquisition parameters, and set the imaging system focal length, aperture, exposure time, gain, white balance parameters, working distance, gamma and other parameters. Correct the system image acquisition, keep the imaging system position unchanged, take an image at 60s intervals, and take 10 consecutive images. (4) System correction method, through the collected image set, use a pixel-level weighted fusion algorithm to synthesize 10 source images into a single output image. This process performs RGB three-channel weighted summation on the corresponding pixel of each spatial coordinate (x, y) in the input sequence according to the preset normalized weight coefficient, such as Figure 2 The process involves extracting bright spots from all images. A weighted map is generated using normalized inverse distance transform, and an interpolated map is generated using edge-sensitive interpolation. Finally, multimodal fusion is used to correct the original image, eliminating image bright spots caused by camera bright spots and improving the accuracy of detecting low-brightness bright spots on display panels using industrial cameras. These steps eliminate false detections of low-brightness bright spots on display panels due to CCD bright spots. The calibration method is simple, efficient, and inexpensive.

[0036] Step S20: Configure the image acquisition parameters of the CCD imaging system.

[0037] It should be noted that the image capture parameters in this embodiment include at least focal length, aperture, exposure time, gain, white balance parameters, working distance, and gamma parameters.

[0038] Step S30: After completing the configuration of the CCD imaging system, keep the spatial position of the CCD imaging system unchanged, and continuously acquire multiple images of the display panel at preset time intervals.

[0039] In this embodiment, the preset time interval is 60s, and the number of images acquired continuously can be 10. That is, keeping the position of the imaging system unchanged, one image is taken at 60s intervals, and this is repeated 10 times. The time interval and the number of images acquired can also be adjusted according to actual needs, and this embodiment does not impose any restrictions on them.

[0040] Step S40: Perform pixel-level weighted fusion processing on the acquired multiple images to obtain a fused image.

[0041] It should be noted that in this embodiment, the collected image set is combined into a single output image using a pixel-level weighted fusion algorithm. Multiple consecutive shots are taken to prevent issues with camera brightness and dead pixels. Then, you can refer to... Figure 3 The image shows that these ten images (1-10) are fused using pixel-level weighting.

[0042] In the specific implementation, pixel-level weighted fusion processing is performed on multiple acquired images to obtain a fused image. This includes: for corresponding pixels at the same spatial coordinate in each image, pixel-level RGB three-channel weighted summation is performed according to preset normalized weight coefficients. The formula for the pixel-level weighted fusion processing is as follows:

[0043] Among them, I fused (x,y) represents the pixel value of the fused image at coordinates (x,y), n is the total number of images acquired, and w k I represents the preset normalized weight coefficients for the k-th image. k (x,y) represents the pixel value of the k-th image at coordinates (x,y).

[0044] Step S50: Generate a bright spot region mask map based on the fused image, and generate a normalized weight map through inverse mask transformation and Euclidean distance transformation calculation.

[0045] In a specific implementation, a bright spot region mask map is generated based on the fused image. A normalized weight map is then generated through inverse mask transformation and Euclidean distance transformation calculations, including: The mask image of the bright spot region is generated based on absolute threshold binarization, and the calculation formula is as follows:

[0046] The formula for calculating the reverse mask is as follows:

[0047] The Euclidean distance transformation is performed using the following formula:

[0048] The normalized weighted graph W is generated using the following formula:

[0049] Where M is the mask image, This represents the pixel values ​​in the merged image. For the reverse mask, W(x,y) is the normalized weight map, and Dmax = max(x,y)D(x,y)Dmax = max(x,y)D(x,y). Value 10-5 .

[0050] Step S60: Perform edge-sensitive interpolation processing on the fused image to obtain an interpolated image.

[0051] In a specific implementation, edge-sensitive interpolation processing is performed on the fused image to obtain an interpolated image, including: The gradient field is calculated using the following formula:

[0052] The gradient direction vector is calculated using the following formula:

[0053] The adaptive sampling point is determined by the following formula:

[0054]

[0055] The direction interpolation formula is as follows:

[0056] in, , For the Scharr operator, , β takes the value 1.5. .

[0057] Step S70: Perform multimodal fusion on the fused image, the weighted image, and the interpolated image to obtain a corrected image that eliminates CCD bright and bad pixel interference.

[0058] In this specific implementation, a multimodal fusion method is used for correction. The formula for multimodal fusion is as follows:

[0059] Where Dst is the final corrected image, I fused For image fusion, W is the weight map, and I... inter This is an interpolated image. The corrected image, after eliminating CCD bright and dead pixel interference, is used for low-brightness bright spot detection on the display panel. The corrected image obtained through the above method, after eliminating CCD bright and dead pixel interference, can eliminate interference caused by CCD device factors during subsequent low-brightness bright spot detection on the display panel.

[0060] In this embodiment, a panel without bright spots is selected and a completely black screen is displayed. The CCD imaging system's image acquisition parameters are configured. Keeping the CCD position constant, multiple images are continuously acquired at preset intervals. A fused image is obtained through pixel-level weighted fusion. A normalized weight map is generated based on the fused image, and edge-sensitive interpolation is performed on the fused image to obtain an interpolated image. The three images are then fused in a multimodal manner to obtain a corrected image that eliminates CCD bright spot interference, which is used for low-brightness bright spot detection on the display panel. This method effectively eliminates CCD bad spot interference, improving the accuracy and stability of subsequent low-brightness bright spot detection on the display panel.

[0061] Furthermore, this embodiment of the invention also proposes a storage medium storing a CCD bright spot correction program for detecting low-brightness bright spots on a display panel. When the CCD bright spot correction program for detecting low-brightness bright spots on a display panel is executed by a processor, it implements the steps of the CCD bright spot correction method for detecting low-brightness bright spots on a display panel as described above.

[0062] Furthermore, this embodiment of the invention also proposes a computer program product, which stores a CCD bright spot correction program for detecting low-brightness bright spots on a display panel. When the CCD bright spot correction program for detecting low-brightness bright spots on a display panel is executed by a processor, it implements the steps of the CCD bright spot correction method for detecting low-brightness bright spots on a display panel as described above.

[0063] This application embodiment also provides a CCD bright spot / dead spot correction device for detecting low-brightness bright spots in a display panel, including a processor, a communication interface, a memory, and a communication bus. The processor, communication interface, and memory communicate with each other through the communication bus. The memory is used to store the CCD bright spot / dead spot correction program for detecting low-brightness bright spots in a display panel. When the processor executes the program stored in the memory, it implements the above-mentioned CCD bright spot / dead spot correction method for detecting low-brightness bright spots in a display panel.

[0064] The communication bus mentioned in the CCD bright spot and dead spot correction device for low brightness detection of display panels can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into address bus, data bus, control bus, etc.

[0065] The communication interface is used for communication between the aforementioned CCD bright spot correction device for detecting low brightness bright spots in display panels and other devices.

[0066] The memory may include random access memory (RAM) or non-volatile memory (NVM), such as at least one disk storage device. Optionally, the memory may also be at least one storage device located remotely from the aforementioned processor.

[0067] The processors mentioned above can be general-purpose processors, including central processing units (CPUs), network processors (NPs), etc.; they can also be digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0068] In the above embodiments, implementation can be achieved entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid state disk (SSD)).

[0069] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0070] The various embodiments in this specification are described in a related manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the system embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0071] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. 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 of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

[0072] It should be understood that the above are merely illustrative examples and do not constitute any limitation on the technical solutions of the present invention. In specific applications, those skilled in the art can make settings as needed, and the present invention does not impose any restrictions on this.

[0073] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of this invention. In practical applications, those skilled in the art can select some or all of the workflow to achieve the purpose of this embodiment according to actual needs, and no restrictions are imposed here.

[0074] In addition, for technical details not described in detail in this embodiment, please refer to the CCD bright spot correction method for low brightness bright spot detection of display panel provided in any embodiment of the present invention, which will not be repeated here.

[0075] Furthermore, it should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0076] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0077] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as read-only memory (ROM) / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0078] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

[0079] It is understood that the system provided in the embodiments of the present invention corresponds to the method provided in the embodiments of the present invention, and the explanation, examples and beneficial effects of the relevant content can be referred to the corresponding parts of the above methods.

Claims

1. A CCD bright spot / dead pixel correction method for detecting low-brightness bright spots in display panels, characterized in that, The CCD bright spot / dead spot correction method for detecting low-brightness bright spots in display panels includes: Select a display panel without bright spots and control the display panel to display a completely black image. The imaging parameters of the CCD imaging system are configured, including at least focal length, aperture, exposure time, gain, white balance parameters, working distance, and gamma parameters. After the CCD imaging system is configured, the spatial position of the CCD imaging system remains unchanged, and multiple images of the display panel are continuously acquired at preset time intervals. Pixel-level weighted fusion processing is performed on the acquired images to obtain a fused image; Based on the fused image, a bright spot region mask map is generated, and a normalized weight map is generated through inverse mask transformation and Euclidean distance transformation calculation. The fused image is subjected to edge-sensitive interpolation to obtain an interpolated image; The fused image, the weighted image, and the interpolated image are fused in a multimodal manner to obtain a corrected image that eliminates CCD bright spot interference. The corrected image that eliminates CCD bright spot interference is used for low-brightness bright spot detection on the display panel.

2. The CCD bright spot / dead pixel correction method for low-brightness bright spot detection in display panels as described in claim 1, characterized in that, The step of performing pixel-level weighted fusion processing on the acquired multiple images to obtain a fused image includes: For each pixel at the same spatial coordinate in each image, perform pixel-level RGB three-channel weighted summation according to preset normalization weight coefficients.

3. The CCD bright spot / dead spot correction method for low-brightness bright spot detection in display panels as described in claim 2, characterized in that, The formula for the pixel-level weighted fusion process is: Among them, I fused (x,y) represents the pixel value of the fused image at coordinates (x,y), n is the total number of images acquired, and w k I represents the preset normalized weight coefficients for the k-th image. k (x,y) represents the pixel value of the k-th image at coordinates (x,y).

4. The CCD bright spot / dead spot correction method for low-brightness bright spot detection in display panels as described in claim 1, characterized in that, The step of generating a bright spot region mask map based on the fused image, and generating a normalized weight map through inverse mask transformation and Euclidean distance transformation calculation, includes: The mask image of the bright spot region is generated based on absolute threshold binarization, and the calculation formula is as follows: The formula for calculating the reverse mask is as follows: The Euclidean distance transformation is performed using the following formula: The normalized weighted graph W is generated using the following formula: Where M is the mask image, This represents the pixel values ​​in the merged image. For the reverse mask, W(x,y) is the normalized weight map, and Dmax = max(x,y)D(x,y)Dmax = max(x,y)D(x,y). Value 10 -5 .

5. The CCD bright spot / dead spot correction method for low-brightness bright spot detection in a display panel as described in claim 4, characterized in that, The step of performing edge-sensitive interpolation processing on the fused image to obtain an interpolated image includes: The gradient field is calculated using the following formula: The gradient direction vector is calculated using the following formula: The adaptive sampling point is determined by the following formula: The direction interpolation formula is as follows: in, , For the Scharr operator, , β takes the value 1.

5. .

6. The CCD bright spot correction method for detecting low-brightness bright spots in a display panel as described in claim 1, characterized in that, The formula for multimodal fusion is: Where Dst is the final corrected image, I fused For image fusion, W is the weight map, and I... interp This is an interpolated image.

7. The CCD bright spot / dead pixel correction method for detecting low-brightness bright spots in a display panel as described in any one of claims 1 to 6, characterized in that, The preset time interval is 60 seconds, and the number of images continuously acquired is 10.

8. A CCD bright spot / dead spot correction device for detecting low-brightness bright spots in display panels, characterized in that, The CCD bright spot and dead spot correction device for detecting low brightness bright spots in a display panel includes: a memory, a processor, and a CCD bright spot and dead spot correction program for detecting low brightness bright spots in a display panel stored in the memory and executable on the processor. The CCD bright spot and dead spot correction program for detecting low brightness bright spots in a display panel is configured to implement the steps of the CCD bright spot and dead spot correction method for detecting low brightness bright spots in a display panel as described in any one of claims 1 to 7.

9. A storage medium, characterized in that, The storage medium stores a CCD bright spot correction program for detecting low-brightness bright spots in a display panel. When the processor executes the CCD bright spot correction program for detecting low-brightness bright spots in a display panel, it implements the steps of the CCD bright spot correction method for detecting low-brightness bright spots in a display panel as described in any one of claims 1 to 7.

10. A computer program product, characterized in that, The computer program product stores a CCD bright spot correction program for detecting low-brightness bright spots in a display panel. When the processor executes the CCD bright spot correction program for detecting low-brightness bright spots in a display panel, it implements the steps of the CCD bright spot correction method for detecting low-brightness bright spots in a display panel as described in any one of claims 1 to 7.

Images