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Proceedings Paper

Improved total variation algorithms for wavelet-based denoising
Author(s): Glenn R. Easley; Flavia Colonna
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Paper Abstract

Many improvements of wavelet-based restoration techniques suggest the use of the total variation (TV) algorithm. The concept of combining wavelet and total variation methods seems effective but the reasons for the success of this combination have been so far poorly understood. We propose a variation of the total variation method designed to avoid artifacts such as oil painting effects and is more suited than the standard TV techniques to be implemented with wavelet-based estimates. We then illustrate the effectiveness of this new TV-based method using some of the latest wavelet transforms such as contourlets and shearlets.

Paper Details

Date Published: 9 April 2007
PDF: 11 pages
Proc. SPIE 6576, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks V, 65760J (9 April 2007); doi: 10.1117/12.717457
Show Author Affiliations
Glenn R. Easley, System Planning Corp. (United States)
Flavia Colonna, George Mason Univ. (United States)


Published in SPIE Proceedings Vol. 6576:
Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks V
Harold H. Szu; Jack Agee, Editor(s)

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