DocumentCode
454923
Title
A Multiresolution Approach for Mproveing Quality of Image Denoising Algorithms
Author
Lukin, Alexey
Author_Institution
Comput. Sci. Fac., Moscow State Univ.
Volume
2
fYear
2006
fDate
14-19 May 2006
Abstract
In this paper, we propose a multiresolution framework for improving the quality of several image and audio processing algorithms. The results of algorithms operating at different time-frequency (or space-frequency) resolutions are adaptively combined in order to achieve a variable resolution of a filter bank. Applications of the proposed model to image noise reduction algorithms are demonstrated with examples of non-local means and adaptive PCA algorithms
Keywords
channel bank filters; image denoising; image resolution; principal component analysis; time-frequency analysis; adaptive PCA algorithms; audio processing algorithm; filter bank; image denoising algorithm; image noise reduction algorithms; image processing algorithm; multiresolution approach; space-frequency resolution; time-frequency resolution; Image denoising; Image resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location
Toulouse
ISSN
1520-6149
Print_ISBN
1-4244-0469-X
Type
conf
DOI
10.1109/ICASSP.2006.1660478
Filename
1660478
Link To Document