DocumentCode
2307235
Title
Adaptive principal components and image denoising
Author
Muresan, D.D. ; Parks, Thomas K.
Author_Institution
Digital Multi-Media Design, Arlington, VA, USA
Volume
1
fYear
2003
fDate
14-17 Sept. 2003
Abstract
This paper presents a novel approach to image denoising using adaptive principal components. Our assumptions are that the image is corrupted by additive white Gaussian noise. The new denoising technique performs well in terms of image visual fidelity, and in terms of PSNR values, the new technique compares very well against some of the most recently published denoising algorithms.
Keywords
AWGN; image denoising; principal component analysis; PSNR value; adaptive principal component; additive white Gaussian noise; image denoising; image visual fidelity; peak signal-to-noise ratio; Additive white noise; Computer hacking; Filters; Frequency; Image coding; Image denoising; Noise reduction; PSNR; Signal processing; Signal representations;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
ISSN
1522-4880
Print_ISBN
0-7803-7750-8
Type
conf
DOI
10.1109/ICIP.2003.1246908
Filename
1246908
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