A total variation wavelet inpainting model with multilevel fitting parameters | Zendy

Tony F. Chan | Zendy; Jianhong Shen | Zendy; Haomin Zhou | Zendy

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A total variation wavelet inpainting model with multilevel fitting parameters

Author(s) -

Tony F. Chan,

Jianhong Shen,

Haomin Zhou

Publication year - 2006

Publication title -

proceedings of spie, the international society for optical engineering/proceedings of spie

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.192

H-Index - 176

eISSN - 1996-756X

pISSN - 0277-786X

DOI - 10.1117/12.682222

Subject(s) - inpainting , wavelet , computer science , lossy compression , minification , wavelet transform , variation (astronomy) , artificial intelligence , wavelet packet decomposition , transmission (telecommunications) , algorithm , image (mathematics) , pattern recognition (psychology) , telecommunications , physics , astrophysics , programming language

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

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