PURE-LET for Poisson image denoising
PURE-LET has been recently proposed [1] as noise removal strategy from Poisson-count images. Specifically, PURE (Poisson unbiased risk estimator) is an unbiased estimate, defined in the Haar wavelet domain, of the mean-squared error between the original image and the estimated image. PURE-LET attempts to estimate the true image from the noisy image by minimizing PURE. PURE-LET involves inversion of a small size matrix.
[1] F. Luisier, C. Vonesch, T. Blu, M. Unser, "Fast Interscale Wavelet Denoising of Poisson-corrupted Images", Signal Processing, vol. 90, no. 2, pp. 415-427, February 2010.
Cite As
SANDEEP PALAKKAL (2024). PURE-LET for Poisson image denoising (https://www.mathworks.com/matlabcentral/fileexchange/31557-pure-let-for-poisson-image-denoising), MATLAB Central File Exchange. Retrieved .
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- Signal Processing > Wavelet Toolbox > Discrete Multiresolution Analysis >
- Signal Processing > Wavelet Toolbox > Denoising and Compression >
- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation > Image Category Classification >
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PURE-LET/
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1.0.0.0 |