Image denoising method based on Treelet switch and Gaussian scale mixture model
A Gaussian scale mixture and model technology, which is applied in the field of image processing and can solve the problems of blurring or filtering of image structure information, over-smoothing of images, and poor detail information.
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[0072] Attached below figure 1 The steps of the present invention are further described in detail.
[0073] Step 1, input an image to be denoised.
[0074] Step 2, classify image blocks.
[0075] 2a) In the image to be denoised, take any pixel as the center and take a fixed length as the side length to determine a square image block, and use the same method to perform the same operation on all pixels in the image. In the embodiment of the present invention Select an image block of size 7×7.
[0076] 2b) From all image blocks selected in the image, q image block grayscale matrices are randomly selected as clustering centers, and the value of q in the embodiment of the present invention is 70.
[0077] 2c) Calculate the distance d(y) from the image block to all cluster centers according to the formula p , m k ):
[0078] d ( y p , m k ...
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