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
fDate :
8/1/1999 12:00:00 AM
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;
Journal_Title :
Image Processing, IEEE Transactions on
