Optimal Blockwise Shrinkage for Image Denoising
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.
Zitieren als
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. Abgerufen.
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- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation > Image Category Classification >
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Version | Veröffentlicht | Versionshinweise | |
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1.1.0.0 | 1. Add the latest journal reference of this method
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1.0.0.0 |