Image denoising using Evolutionary Algorithm
This code performs Image denoising using Self Organizing Migration Algorithm (SOMA)
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In this code we use SOMA and wavelet shrinkage to denoise images. Choice of traditional denoising methods require prior knowledge of kind of noise corrupting the image. Moreover, image denoising using Universal wavelet shrinkage is suited only for images corrupted with gaussian noise.
In this code we use SOMA to find the parameters for wavelet shrinkage denoising such as choice of wavelet and thresholding values for various levels. Our algorithm is suited for various kinds of noise corrupting teh image such as gaussian, salt & pepper etc.
The details of the algorithm can be found at
Anupriya, Akash tayal, “Wavelet based Image Denoising using Self Organizing Migration Algorithm”,
CiiT International Journal of Digital Image Processing, June 2012
引用
Anuprriya Gogna (2026). Image denoising using Evolutionary Algorithm (https://jp.mathworks.com/matlabcentral/fileexchange/46649-image-denoising-using-evolutionary-algorithm), MATLAB Central File Exchange. に取得済み.
