Multiframe super‐resolution based on a high‐order spatially weighted regularisation
| Autor: | Abdelghani Ghazdali, Mohamed Alahyane, Abdelilah Hakim, Said Raghay, Amine Laghrib |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Iterative method
Computer science Order (ring theory) 020206 networking & telecommunications 02 engineering and technology Image (mathematics) Term (time) Noise Distribution (mathematics) Robustness (computer science) Signal Processing 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer Vision and Pattern Recognition Electrical and Electronic Engineering Image resolution Algorithm Software |
| Zdroj: | IET Image Processing. 12:928-940 |
| ISSN: | 1751-9667 |
| DOI: | 10.1049/iet-ipr.2017.1046 |
| Popis: | Here, the authors propose a spatially weighted super-resolution (SR) algorithm, which takes into consideration the distribution of every information that characterise different image areas. The authors investigate to use a combined spatially weighted regularisation of the bilateral total variation and a second-order term increasing then the robustness of the proposed SR approach with respect to blur and noise degradations. In addition, the authors propose an iterative Bregman iteration algorithm to resolve the obtained optimisation SR problem. As a result, this regularisation is more efficient and easier to implement; moreover, it preserves well the smooth regions of the image and also sharp edges. Using different simulated and real tests, the authors prove the efficiency of the proposed algorithm compared to some SR methods. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Plný text