9 April 2007 Improved total variation algorithms for wavelet-based denoising
Author Affiliations +
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Glenn R. Easley, Flavia Colonna, "Improved total variation algorithms for wavelet-based denoising", Proc. SPIE 6576, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks V, 65760J (9 April 2007); doi: 10.1117/12.717457; https://doi.org/10.1117/12.717457
PROCEEDINGS
11 PAGES


SHARE
RELATED CONTENT

Sparse Gabor wavelets by local operations
Proceedings of SPIE (June 29 2005)
M band filter banks and dual tree wavelets for engine...
Proceedings of SPIE (October 19 2006)
Multicomposite wavelet estimation
Proceedings of SPIE (September 27 2011)

Back to Top