Image restoration by regularisation in uncorrelated transform domain

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
Issue Date:	Dec-2000
Source:	IEE proceedings. Vision, image and signal processing, Dec. 2000, v. 147, no. 6, p. 587-594
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.
Keywords:	Uncorrelated transform domain Image restoration Regularisation Spatial content Uncorrelated components Decorrelation Edge regions Spatially adaptive weighting DCT DFT KLT
Publisher:	The Institution of Engineering and Technology
Journal:	IEE proceedings. Vision, image, and signal processing
ISSN:	1350-245X
EISSN:	1359-7108
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.
Appears in Collections:	Journal/Magazine Article

File	Description	Size	Format
c_ieep00.pdf	Pre-published version	358.86 kB	Adobe PDF	View/Open

Status	open access
File Version	Final Accepted Manuscript

View full-text via PolyU eLinks

105

Last Week
0

Last month

Citations as of Oct 1, 2023

139

Citations as of Oct 1, 2023

1

Last Week
0

Last month
0

Citations as of Sep 28, 2023

1

Last Week
0

Last month
0

Citations as of Sep 28, 2023

Check