Optimal Blockwise Shrinkage for Image Denoising

Version 1.1.0.0 (8.54 KB) by Yue Wu
Improving initially denoised using its corresponding noisy observation
708 Downloads
Updated 24 Jul 2014

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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.

Cite As

Yue Wu (2024). Optimal Blockwise Shrinkage for Image Denoising (https://www.mathworks.com/matlabcentral/fileexchange/44068-optimal-blockwise-shrinkage-for-image-denoising), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2013a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.1.0.0

1. Add the latest journal reference of this method
2. Update a method parameter

1.0.0.0