Name
Abstract | ||
|---|---|---|
We propose a new sparse-representation approach to super-resolution color-image interpolation. Whether an image to be interpolated actually undergoes blurs or not, the approach assumes that the image is blurred with a certain smoothing filter, and it first performs both deblurring and interpolation simultaneously so as to produce a provisional high-resolution image on the quasi blur-hypothesis, and then it blurs the provisional high-resolution image with the hypothesized blurring filter to produce a finally interpolated color-image. The quasi blur-hypothesis is introduced to enhance the spatially-regularization efficacy of the data-fidelity constraint in the variational problem of the super-resolution deblurring-and-interpolation. If a proper smoothing filter is chosen as the hypothesized blurring filter, the quasi blur-hypothesis approach can achieve state-of-the-art interpolation performance. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICIP.2011.6115631 | ICIP |
Keywords | Field | DocType |
filtering theory,image representation,image resolution,image restoration,interpolation,data-fidelity constraint,hypothesized blurring filter,quasi blur-hypothesis,sparse-representation,super-resolution color-image interpolation,super-resolution deblurring-and-interpolation,Interpolation,color-image processing,deblurring,sparse representation,super-resolution | Nearest-neighbor interpolation,Computer vision,Deblurring,Computer science,Interpolation,Stairstep interpolation,Demosaicing,Artificial intelligence,Image restoration,Image resolution,Superresolution | Conference |
ISSN | Citations | PageRank |
1522-4880 | 1 | 0.37 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Takahiro Saito | 1 | 100 | 30.46 |
| Ken-Ichi Ishikawa | 2 | 1 | 0.37 |
| Takashi Komatsu | 3 | 113 | 33.96 |