Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/73538
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.
URI: http://hdl.handle.net/10397/73538
ISBN: 9789812704924 (electronic bk.)
9812383662
9789812383662
DOI: 10.1142/9789812704924_0030
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

1
Last Week
1
Last month
Citations as of May 20, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.