Szczegóły publikacji
Opis bibliograficzny
Impulsive noise suppression in color images based on the geodesic digital paths / Bogdan Smołka, Bogusław CYGANEK // W: Real-time image and video processing 2015 [Dokument elektroniczny] : 10 February 2015, San Francisco, California, United States / eds. Nasser Kehtarnavaz, Matthias F. Carlsohn. — Wersja do Windows. — Dane tekstowe. — Washington ; Springfiels : SPIE ; IS&T–The Society for Imaging Science and Technology, cop. 2015. — (Proceedings of SPIE / The International Society for Optical Engineering ; ISSN 0277-786X ; vol. 9400). — e-ISBN: 9781628414905. — S. 94000R-1–94000R-12. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 94000R-9–94000R-12, Abstr.
Autorzy (2)
- Smołka Bogdan
- AGHCyganek Bogusław
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 91976 |
|---|---|
| Data dodania do BaDAP | 2015-10-03 |
| DOI | 10.1117/12.2081831 |
| Rok publikacji | 2015 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Konferencja | Conference on Real-Time Image and Video Processing |
| Czasopismo/seria | Proceedings of SPIE / The International Society for Optical Engineering |
Abstract
In the paper a novel filtering design based on the concept of exploration of the pixel neighborhood by digital paths is presented. The paths start from the boundary of a filtering window and reach its center. The cost of transitions between adjacent pixels is defined in the hybrid spatial-color space. Then, an optimal path of minimum total cost, leading from pixels of the window's boundary to its center is determined. The cost of an optimal path serves as a degree of similarity of the central pixel to the samples from the local processing window. If a pixel is an outlier, then all the paths starting from the window's boundary will have high costs and the minimum one will also be high. The filter output is calculated as a weighted mean of the central pixel and an estimate constructed using the information on the minimum cost assigned to each image pixel. So, first the costs of optimal paths are used to build a smoothed image and in the second step the minimum cost of the central pixel is utilized for construction of the weights of a soft-switching scheme. The experiments performed on a set of standard color images, revealed that the efficiency of the proposed algorithm is superior to the state-of-the-art filtering techniques in terms of the objective restoration quality measures, especially for high noise contamination ratios. The proposed filter, due to its low computational complexity, can be applied for real time image denoising and also for the enhancement of video streams.
