Non-local-restriction-based total variation image deblurring method
A deblurring, non-local technology, applied in the field of image processing, can solve the problem that the high-frequency details of the image cannot be recovered well, and achieve the effect of solving the staircase effect
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[0023] refer to figure 1 , the specific implementation steps of the present invention are as follows:
[0024] Step 1, use the existing "Wiener filter method" to obtain the preliminary deblurring result map x (0) , with x (0) Initialize the deblurring result map x (k) , set iteration error ε=1×10 -6 , set the current iteration number k=0, wherein, the Wiener filtering method was introduced by Helstrom C.W. in the document "Image restoration by the method of least squares", [J].J.Opt.Soc.Amer, 1967, Vol.57 , No.3, given in pp297-303.
[0025] Step 2, calculate the deblurred map x (k) The non-local weight coefficient matrix W, where, i=1, 2,..., N, j=1, 2,..., N, N is the deblurring result map x (k) the total number of pixels.
[0026] Let the element W(i, j) of row i and column j in W be calculated according to the following formula:
[0027]
[0028] in, Indicates the deblurring result map x (k) The i-th 7×7 pixel image patch x i and the jth 7×7 pixel image pa...
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