Image restoration with sliding sinusoidal transforms

Autor:	I. A. Ovseyevich, Vitaly Kober
Rok vydání:	2008
Předmět:	business.industry Pattern recognition (psychology) Estimator Image processing Recursive algorithms Computer vision Computer Vision and Pattern Recognition Artificial intelligence business Real image Image restoration Sine and cosine transforms Mathematics
Zdroj:	Pattern Recognition and Image Analysis. 18:649-653
ISSN:	1555-6212 1054-6618
DOI:	10.1134/s1054661808040172
Popis:	A space-variant restoration technique with sliding sinusoidal transforms is presented. Minimum mean-square error estimators in the domains of sliding discrete sine and cosine transforms for image restoration are derived. To achieve image processing in real time, fast recursive algorithms for computing the sliding sinusoidal transforms are utilized. Computer simulation results using a real image are provided and compared with that of common restoration techniques.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d3edd0a0c057a4e94a8b40aa3ae4d0bf https://doi.org/10.1134/s1054661808040172 Zobrazit plný text záznamu Full text from SpringerLink