A total variation wavelet inpainting model with multilevel fitting parameters

Tony F. Chan; Jianhong Shen; Hao-Min Zhou

doi:10.1117/12.682222

25 August 2006 A total variation wavelet inpainting model with multilevel fitting parameters

Tony F. Chan, Jianhong Shen, Hao-Min Zhou

Proceedings Volume 6313, Advanced Signal Processing Algorithms, Architectures, and Implementations XVI; 63130C (2006) https://doi.org/10.1117/12.682222
Event: SPIE Optics + Photonics, 2006, San Diego, California, United States

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.

Citation Download Citation

Tony F. Chan, Jianhong Shen, and Hao-Min Zhou "A total variation wavelet inpainting model with multilevel fitting parameters", Proc. SPIE 6313, Advanced Signal Processing Algorithms, Architectures, and Implementations XVI, 63130C (25 August 2006); https://doi.org/10.1117/12.682222

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