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.
引用
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. 取得済み .
MATLAB リリースの互換性
作成:
R2013a
すべてのリリースと互換性あり
プラットフォームの互換性
Windows macOS Linuxカテゴリ
- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation > Image Category Classification >
Help Center および MATLAB Answers で Image Category Classification についてさらに検索
タグ
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!