Despeckling Filter Based on the Tsallis Entropy of the GI0 Distribution
| dc.creator | Rey, Andrea | |
| dc.creator | Gambini, Juliana | |
| dc.creator | Lucini, Magdalena | |
| dc.creator | Frery, Alejandro C. | |
| dc.creator.orcid | 0000-0002-9185-1382 | |
| dc.creator.orcid | 0000-0002-4534-1402 | |
| dc.creator.orcid | 0000-0001-6615-7711 | |
| dc.creator.orcid | 0000-0002-8002-5341 | |
| dc.date.accessioned | 2026-03-06T16:37:19Z | |
| dc.date.issued | 2024-11-04 | |
| dc.description.abstract | Speckle noise is a phenomenon that occurs in the acquiring image process with coherent illumination, such as synthetic aperture radar, ultrasound, or laser systems. It is hard to eliminate due to its stochastic and multiplicative nature. In this work, a despeckling filter technique is proposed based on modeling the data using the GI0 distribution and applying a hypothesis test built from the Tsallis entropy. The present proposal is applied to synthetic and real images and, in both cases, the efficiency in removing speckle noise is evaluated using standard metrics. Furthermore, its quality is compared with the FANS filter, obtaining encouraging results. | |
| dc.description.affiliation | Rey, Andrea. Universidad Nacional de Hurlingham (UNAHUR). Laboratorio de Investigación y Desarrollo Experimental en Computación; Argentina. Universidad Tecnológica Nacional. Centro de Procesamiento de Señales e Imágenes; Argentina. | |
| dc.description.affiliation | Gambini, Juliana. Universidad Nacional de Hurlingham (UNAHUR). Laboratorio de Investigación y Desarrollo Experimental en Computación; Argentina. Universidad Tecnológica Nacional. Centro de Procesamiento de Señales e Imágenes; Argentina. | |
| dc.description.affiliation | Lucini, Magdalena. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas, Naturales y Agrimensura; Argentina. CONICET; Argentina. | |
| dc.description.affiliation | Frery, Alejandro C. Victoria University of Wellington. Schools of Mathematics and Statistics; Nueva Zelanda. | |
| dc.format | ||
| dc.identifier.citation | 2024 IEEE Biennial Congress of Argentina (ARGENCON) | |
| dc.identifier.doi | 10.1109/ARGENCON62399.2024.10735832 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12272/14681 | |
| dc.language.iso | es | |
| dc.publisher | IEEE | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.rights.use | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Ruido Speckle, Imágenes SAR, entropía de Tsallis, Filtro de imagen | |
| dc.title | Despeckling Filter Based on the Tsallis Entropy of the GI0 Distribution | |
| dc.type | info:eu-repo/semantics/conferenceObject | |
| dc.type.version | publisherVersion |