Name
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TIP.2011.2159983 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
optimal solution,variational approach,total-variation-based wavelet domain inpainting,wavelet coefficient,reconstruction problem,efficient iterative scheme,numerical result,proposed algorithm,dual method,wavelet domain,pixel,tv,signal to noise ratio,wavelet transforms,image restoration,total variation,wavelet,wavelet transform,inpainting,image reconstruction | Computer vision,Pattern recognition,Lifting scheme,Second-generation wavelet transform,Discrete wavelet transform,Artificial intelligence,Cascade algorithm,Stationary wavelet transform,Wavelet packet decomposition,Mathematics,Wavelet,Wavelet transform | Journal |
Volume | Issue | ISSN |
21 | 1 | 1941-0042 |
Citations | PageRank | References |
20 | 0.64 | 29 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| You-Wei Wen | 1 | 353 | 18.93 |
| Raymond H. Chan | 2 | 1549 | 151.24 |
| Andy M. Yip | 3 | 232 | 20.65 |