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Optimal Blockwise Shrinkage for Image Denoising

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Improving initially denoised using its corresponding noisy observation

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This simple script validates the idea of blockwise shrinkage for various image denoising methods. As long as a noisy image is corrupted by additive Gaussian noise, this script method is applicable to improve an initial estimation, namely a denoised image. Demo code shows the improvement based on three MATLAB build-in image denoising methods, i.e. the moving average filter, the median filter, and the 2D wiener filter.

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