Title :
A Multiresolution Approach for Mproveing Quality of Image Denoising Algorithms
Author_Institution :
Comput. Sci. Fac., Moscow State Univ.
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;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1660478
