| Paper: | IMDSP-P15.5 | ||
| Session: | Image Restoration and Denoising | ||
| Time: | Friday, May 19, 10:00 - 12:00 | ||
| Presentation: | Poster | ||
| Topic: | Image and Multidimensional Signal Processing: Restoration and Enhancement | ||
| Title: | A Multiresolution Approach for Improving Quality of Image Denoising Algorithms | ||
| Authors: | Alexey Lukin, Moscow State University, Russian Federation | ||
| 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. | ||
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