 |
Technical Program
Paper Detail
| Paper: | WA-P5.4 |
| Session: | Denoising - II |
| Time: | Wednesday, October 11, 09:40 - 12:20 |
| Presentation: |
Poster
|
| Title: |
UNIVERSAL DENOISING OF CONTINUOUS AMPLTIUDE SIGNALS WITH APPLICATIONS TO IMAGES |
| Authors: |
Kamakshi Sivaramakrishnan; Stanford University | | | | | Tsachy Weissman; Stanford University | | |
| Abstract: |
We consider the problem of image denoising wherein the statistical characterization of the noise corruption mechanism is known. We make no assumptions on the nature or statistics of the underlying noise-free signal. A denoiser is proposed which, although ignorant of the statistical properties of the noise-free image, does essentially as well as a scheme with full knowledge of the statistics. The solution is presented as a sequence of schemes that progressively consider larger neighborhoods (contexts) around a pixel being denoised, to achieve optimum performance under a user-defined distortion measure. |
|
