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Title: Restoring images with regularization in uncorrelated transform domain
Authors: Fung, YH 
Chan, YH 
Siu, WC 
Choy, SO
Issue Date: 2003
Publisher: World Scientific Pub. Co.
Source: In YC Hon, M Yamamoto, J Cheng & JY Lee (Eds.), Recent development in theories & numerics : International Conference on Inverse Problems, Hong Kong, China, 9-12 January 2002, p.325-335. Singapore ; River Edge, N.J.: World Scientific Pub. Co., 2003 How to cite?
Abstract: Conventional spatially adaptive regularized image restoration schemes weigh the amount of regularization according to the spatial content of an image. A better performance can be achieved by first separately decorrelating the available information about the signal under analysis into uncorrelated components and then weighting the amount of regularization performed to these components accordingly. An iterative restoration algorithm is proposed accordingly to restore images which are blurred and corrupted with color noise.
ISBN: 9789812704924 (electronic bk.)
DOI: 10.1142/9789812704924_0030
Appears in Collections:Conference Paper

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