Image restoring method based on three dictionary block matching
A block matching and dictionary technology, which is applied in the field of restoration of blurred images, can solve the problem of not being able to restore high-frequency details of images well, and achieve the effect of multi-image details and sharpening of image edges.
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[0032] refer to figure 1 , the specific implementation steps of the invention are as follows:
[0033] Step 1, input a blurred image X to be processed b , initialize the blurred image X b The low frequency result graph of X lis an empty matrix, i.e. X l = 0, initialize the blurred image X b The high-frequency result graph of X h is an empty matrix, i.e. X h =0, the low-frequency result map X l The matrix size and high frequency result plot of X h The size of the matrix is the same as the blurred image X to be processed b are the same size.
[0034] Step 2, the blurred image X to be processed b Carry out a block with a size of 5×5, and overlap 4 pixels between adjacent blocks during the block process to obtain a set of image blocks P={P(i)|i=1, 2,...,G}, and initialize i= 1.
[0035] Step 3, assuming that the number of clear sample images used to construct the dictionary M=5, the fuzzy dictionary D b , clear dictionary D c and high frequency dictionary D h The ...
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