An Adaptive Restoration Method for Staring Infrared Degraded Images
A degraded image and self-adaptive technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as difficult hardware real-time implementation, large amount of calculation, and loss of detail information, etc., to achieve easy hardware real-time implementation and strong regularization ability , the effect of small amount of algorithm calculation
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Embodiment 1
[0050] The focal plane array size of the infrared thermal imager is 640×512, and the working frame rate is 50 frames per second. The image processing platform adopts DSP+FPGA architecture, and the adaptive restoration method of staring infrared degraded images is implemented in the DSP processor to meet the needs of real-time processing.
[0051] It can be understood that, in step S1, the DSP processor input image is a 16-bit digital image, and the image size is 640×512. In the following description, i and j in the coordinates (i, j) of the image are respectively integers, and 1≤i≤512, 1≤j≤640.
[0052] In this embodiment, the image restoration process usually needs to be carried out according to a certain image degradation model, and a simple general image degradation model can model the image degradation process as an action on the original image f(x, y). The degenerate system H, the result of the joint action with a Gaussian noise n(x,y) results in a degraded image g(x,y)....
Embodiment 2
[0081] The focal plane array size of the infrared thermal imager is 320×256, and the working frame rate is 50 frames per second. The image processing platform adopts DSP+FPGA architecture, and the adaptive restoration method of staring infrared degraded images is implemented in the DSP processor to meet the needs of real-time processing.
[0082] It can be understood that, in step S1, the DSP processor input image is a 16-bit digital image, and the image size is 320×256. In the following description, i and j in the coordinates (i, j) of the image are respectively integers, and 1≤i≤256, 1≤j≤320.
[0083] In this embodiment, the image restoration process usually needs to be carried out according to a certain image degradation model, and a simple general image degradation model can model the image degradation process as an action on the original image f(x, y). The degenerate system H, the result of the joint action with a Gaussian noise n(x,y) results in a degraded image g(x,y)....
Embodiment 3
[0112] The focal plane array size of the infrared thermal imager is 640×512, and the working frame rate is 50 frames per second. The image processing platform adopts DSP+FPGA architecture, and the adaptive restoration method of staring infrared degraded images is implemented in the DSP processor to meet the needs of real-time processing.
[0113] It can be understood that, in step S1, the DSP processor input image is a 16-bit digital image, and the image size is 640×512. In the following description, i and j in the coordinates (i, j) of the image are respectively integers, and 1≤i≤512, 1≤j≤640.
[0114] In this embodiment, the image restoration process usually needs to be carried out according to a certain image degradation model, and a simple general image degradation model can model the image degradation process as an action on the original image f(x, y). The degenerate system H, the result of the joint action with a Gaussian noise n(x,y) results in a degraded image g(x,y)....
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