A Primal–Dual Method for Total-Variation-Based Wavelet Domain Inpainting

Authors:
You-Wei Wen;Raymond H. Chan;Andy M. Yip
Affiliations:
Faculty of Science, Kunming University of Science and Technology, Kunming, China;Department of Mathematics, Chinese University of Hong Kong, Shatin, Hong Kong;Department of Mathematics, National University of Singapore, Singapore
Venue:
IEEE Transactions on Image Processing
Year:
2012

Citing 0
Cited 3

Adaptive self-recovery for tampered images based on VQ indexing and inpainting

Signal Processing
Image recovery from partial wavelet coefficients via sparse representation

Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
A color-gradient patch sparsity based image inpainting algorithm with structure coherence and neighborhood consistency

Signal Processing

Quantified Score

Hi-index	0.01

Visualization

Abstract

Loss of information in a wavelet domain can occur during storage or transmission when the images are formatted and stored in terms of wavelet coefficients. This calls for image inpainting in wavelet domains. In this paper, a variational approach is used to formulate the reconstruction problem. We propose a simple but very efficient iterative scheme to calculate an optimal solution and prove its convergence. Numerical results are presented to show the performance of the proposed algorithm.