PURE-LET for Poisson image denoising 1.0

Date Added: July 25, 2013 | Visits: 442

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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.

Requirements: No special requirements

Platforms: Matlab

Keyword: Attempts, Inversion, Involves, Luisier, Matrix, Minimizing, Noisy, Pure, Small, Unser, Vonesch

Users rating: 0/10

License: Shareware

Size: 163.84 KB

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