Title :
A Primal–Dual Method for Total-Variation-Based Wavelet Domain Inpainting
Author :
Wen, You-Wei ; Chan, Raymond H. ; Yip, Andy M.
Author_Institution :
Fac. of Sci., Kunming Univ. of Sci. & Technol., Kunming, China
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.
Keywords :
image restoration; wavelet transforms; primal-dual method; reconstruction problem; total-variation-based wavelet domain inpainting; wavelet coefficients; Image reconstruction; Image restoration; Pixel; Signal to noise ratio; TV; Wavelet domain; Wavelet transforms; Inpainting; primal–dual; total variation (TV); wavelet; Algorithms; Artifacts; Image Enhancement; Image Interpretation, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Wavelet Analysis;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2011.2159983
