Name
Abstract | ||
|---|---|---|
We present a method for deconvolution of images by means of an inversion of fractional powers of the Gaussian. The main feature of our model is the introduction of a regularizing term which is also a fractional power of the Laplacian. This term allows us to recover higher frequencies. The model is particularly useful to devise an algorithm for blind deconvolution. We will show, analyze and illustrate through examples the performance of this algorithm. |
Year | DOI | Venue |
|---|---|---|
2008 | https://doi.org/10.1007/s10851-008-0093-2 | Journal of Mathematical Imaging and Vision |
Keywords | Field | DocType |
Blind deconvolution,Denoising,Regularization,Lévy distribution,Fractional powers | Noise reduction,Mathematical optimization,Blind deconvolution,Inversion (meteorology),Deconvolution,Gaussian,Regularization (mathematics),Lévy distribution,Mathematics,Laplace operator | Journal |
Volume | Issue | ISSN |
32 | 2 | 0924-9907 |
Citations | PageRank | References |
5 | 0.45 | 13 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pantaleón D. Romero | 1 | 7 | 1.88 |
| Vicente F. Candela | 2 | 15 | 4.59 |