Name
Title | ||
|---|---|---|
Fractional-order total variation combined with sparsifying transforms for compressive sensing sparse image reconstruction. |
Abstract | ||
|---|---|---|
•A FrTV combined with sparsifying transforms for CS sparse image reconstruction model is proposed.•A method for estimating the regularization parameter is proposed.•A gradient projection algorithm is developed to solve this reconstruction model.•The algorithm has a higher PSNR and better detail preservation. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.jvcir.2016.03.018 | Journal of Visual Communication and Image Representation |
Keywords | Field | DocType |
Two-dimensional compressive sensing,Reconstruction,Fractional-order total variation,Gradient projection | Smooth approximation,Pattern recognition,Gradient projection,Sparse image,Regularization (mathematics),Artificial intelligence,Discrete wavelet transform,Optimization problem,Piecewise,Compressed sensing,Mathematics | Journal |
Volume | ISSN | Citations |
38 | 1047-3203 | 6 |
PageRank | References | Authors |
0.41 | 16 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gao Chen | 1 | 53 | 4.78 |
| Jiashu Zhang | 2 | 1122 | 75.03 |
| Defang Li | 3 | 22 | 1.69 |