Low-order decomposition method for blind deblurring of images
A blind deblurring and low-rank decomposition technology, applied in the field of image processing, can solve problems such as image sharpening, distortion, and inability to effectively use all image information, and achieve the removal of ringing effects, restoration of blurred images, and good deblurring effects Effect
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[0030] refer to figure 1 , the specific implementation steps of the present invention are as follows:
[0031] Step 1, pre-restore the blurred image b to obtain an updated iterative image and the updated blur kernel
[0032] 1a) Set the iteration flag to i=1, the iteration maximum value to imax=45, and set the iteration image y i initial value of y 0 is the blurred image b, the blur kernel k i The initial value of k 0 is a Gaussian impulse function;
[0033] 1b) Calculate the iteration image y according to the following formula i :
[0034] y i = IFFT [ ( 1 - α ) P i - 1 + α XW * i - ...
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