Wrap-around effect removal finite ridgelet transform for multiscale image denoising

Authors:
Xin Wang
Affiliations:
School of Information Science and Engineering, Shandong University, Jinan 250061, China
Venue:
Pattern Recognition
Year:
2010

Citing 5
Cited 1

Image Representation Via a Finite Radon Transform

IEEE Transactions on Pattern Analysis and Machine Intelligence
Discrete analytical Ridgelet transform

Signal Processing - Signal processing in communications
Image denoising with complex ridgelets

Pattern Recognition
Analysis of multiresolution image denoising schemes using generalized Gaussian and complexity priors

IEEE Transactions on Information Theory
De-noising by soft-thresholding

IEEE Transactions on Information Theory

A multiresolution framework for local similarity based image denoising

Pattern Recognition

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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.