Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
530563 | Pattern Recognition | 2010 | 6 Pages |
Abstract
Denoising in wavelet domain is an attractive research field. Recently, the research focused on finding some algorithms that can detect line singularities of image while smoothing noise. Based on the finite Radon transform a finite ridgelet transform was derived for this purpose. But the wrap-around effect of the finite Radon transform limits its power greatly. In this paper, a way is pointed out to remove the wrap-around effect of the finite Radon transform. By embedding it into a moving window pyramid, a multiscale image denoising algorithm is developed.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Xin Wang,