Medical image de-noising method based on optimized nonlocal mean value
A non-local average and medical image technology, applied in the field of image processing, can solve the problems of low algorithm efficiency and large amount of calculation, and achieve the effect of improving effectiveness, good detail contrast, and retaining detail contrast
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[0038] Preferred embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although preferred embodiments of the invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be limited to the embodiments set forth herein.
[0039] A non-local mean medical image denoising method based on optimization, it comprises the following steps:
[0040] Step 1. For the image to be processed, determine the neighborhood search range and search parameters;
[0041] Step 2. Calculate the similarity between all pixels in the neighborhood of the current pixel and the current pixel to obtain a neighborhood Gaussian weight matrix;
[0042] Step 3. Calculate the filtering result of the current pixel according to the neighborhood Gaussian weight matrix, and limit the filtering result to be within the effective image range;
[0043] Step 4: Repeat step 2 and step 3 to ...
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