A regularization parameter selection model for total variation based image noise removal

Author:

Pan Huan,Wen You-WeiORCID,Zhu Hui-Min

Funder

NSFC

Hunan Provincial Education Department

Publisher

Elsevier BV

Subject

Applied Mathematics,Modeling and Simulation

Reference34 articles.

1. Nonlinear total variation based noise removal algorithms;Rudin;Phys. D,1992

2. M. Green, Statistics of images, the TV algorithm of Rudin-Osher-Fatemi for image denoising and an improved denoising algorithm, CAM Report 02-55 (2002). ftp://ftp.math.ucla.edu/pub/camreport/cam02-55.pdf.

3. Methods for Solving Incorrectly Posed Problems;Morozov,1984

4. Methods for choosing the regularization parameter and estimating the noise variance in image restoration and their relation;Galatsanos;IEEE Trans. Image Process.,1992

5. Generalized cross-validation as a method for choosing a good ridge parameter;Golub;Technometrics,1979

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