DocumentCode
1532475
Title
Image enhancement based on signal subspace approach
Author
Lee, Ki-Seung ; Kim, Eun Suk ; Doh, Won ; Youn, Dae Hee
Author_Institution
AT&T Labs. Res., Florham Park, NJ, USA
Volume
8
Issue
8
fYear
1999
fDate
8/1/1999 12:00:00 AM
Firstpage
1129
Lastpage
1134
Abstract
This paper describes a block-by-block basis image enhancement algorithm which uses the signal subspace method to enhance images corrupted by uncorrelated additive noise. The enhancement is performed by eliminating the noise components in the noise subspace and estimating the clean image from the remaining components in the signal subspace
Keywords
Karhunen-Loeve transforms; Wiener filters; adaptive filters; adaptive signal processing; filtering theory; image enhancement; noise; Karhunen-Loeve transformation; block-adaptive Wiener filtering; clean image estimation; covariance matrix; eigendecomposition; image enhancement algorithm; noise corrupted images; noise subspace; signal subspace approach; uncorrelated additive noise; Additive noise; Degradation; Filtering; Humans; Image enhancement; Karhunen-Loeve transforms; Signal processing; Signal processing algorithms; Speech enhancement; Wiener filter;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/83.777094
Filename
777094
Link To Document