Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1533
Title: Image restoration by regularisation in uncorrelated transform domain
Authors: Choy, SSO
Chan, YH 
Siu, WC 
Keywords: Uncorrelated transform domain
Image restoration
Regularisation
Spatial content
Uncorrelated components
Decorrelation
Edge regions
Spatially adaptive weighting
DCT
DFT
KLT
Issue Date: Dec-2000
Publisher: IET (IEE)
Source: IEE proceedings. Vision, image and signal processing, Dec. 2000, v. 147, no. 6, p. 587-594 How to cite?
Journal: IEE proceedings. Vision, image and signal processing 
Abstract: Conventional spatially adaptive regularised image restoration schemes weight the amount of regularisation according to the spatial content of an image. The authors first separately decorrelate the signals under analysis into uncorrelated components and then weight the amount of regularisation performed to these components accordingly. The proposed approach works better than conventional schemes, especially in edge regions.
URI: http://hdl.handle.net/10397/1533
ISSN: 1350-245X
DOI: 10.1049/ip-vis:20000383
Rights: © IEE, 2000. This paper is a postprint of a paper submitted to and accepted for publication in IEE Proceedings-Vision, Image and Signal Processing and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library.
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