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Proceedings Paper

A total variation wavelet inpainting model with multilevel fitting parameters
Author(s): Tony F. Chan; Jianhong Shen; Hao-Min Zhou
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Paper Abstract

In [14], we have proposed two total variation (TV) minimization wavelet models for the problem of filling in missing or damaged wavelet coefficients due to lossy image transmission or communication. The proposed models can have effective and automatic control over geometric features of the inpainted images including sharp edges, even in the presence of substantial loss of wavelet coefficients, including in the low frequencies. In this paper, we investigate a modification of the model for noisy images to further improve the recovery properties by using multi-level parameters in the fitting term. Some new numerical examples are also shown to illustrate the effectiveness of the recovery.

Paper Details

Date Published: 25 August 2006
PDF: 8 pages
Proc. SPIE 6313, Advanced Signal Processing Algorithms, Architectures, and Implementations XVI, 63130C (25 August 2006); doi: 10.1117/12.682222
Show Author Affiliations
Tony F. Chan, The Univ. of California, Los Angeles (United States)
Jianhong Shen, The Univ. of Minnesota (United States)
Hao-Min Zhou, Georgia Institute of Technology (United States)

Published in SPIE Proceedings Vol. 6313:
Advanced Signal Processing Algorithms, Architectures, and Implementations XVI
Franklin T. Luk, Editor(s)

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