Employing Feedback to Filter Caustic Waves in Underwater Scenes in Motion
- Autores
- Trabes, Emanuel; Jordán, Mario A.
- Año de publicación
- 2015
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- A real-time approach for removing sunlight flickers from subaquatic scenarios captured in videos is presented. For this end, a de-flickering filter is designed. The start point is a moving landscape scene. Essentially, the filtering approach is based on morphological characteristics of the caustic waves. It constructs an a-priori de-flickered image which is afterwards enhanced. The algorithm employs feedback of optical flow fields and brightness in order to predict a one-step-ahead value of the brightness.
Sociedad Argentina de Informática e Investigación Operativa (SADIO) - Materia
-
Ciencias Informáticas
underwater images
image filter
Filtering - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-sa/3.0/
- Repositorio
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/52165
Ver los metadatos del registro completo
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Employing Feedback to Filter Caustic Waves in Underwater Scenes in MotionTrabes, EmanuelJordán, Mario A.Ciencias Informáticasunderwater imagesimage filterFilteringA real-time approach for removing sunlight flickers from subaquatic scenarios captured in videos is presented. For this end, a de-flickering filter is designed. The start point is a moving landscape scene. Essentially, the filtering approach is based on morphological characteristics of the caustic waves. It constructs an a-priori de-flickered image which is afterwards enhanced. The algorithm employs feedback of optical flow fields and brightness in order to predict a one-step-ahead value of the brightness.Sociedad Argentina de Informática e Investigación Operativa (SADIO)2015info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf240-247http://sedici.unlp.edu.ar/handle/10915/52165enginfo:eu-repo/semantics/altIdentifier/url/http://44jaiio.sadio.org.ar/sites/default/files/asai240-247.pdfinfo:eu-repo/semantics/altIdentifier/issn/2451-7585info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-sa/3.0/Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-11-12T10:29:23Zoai:sedici.unlp.edu.ar:10915/52165Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-11-12 10:29:23.582SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
Employing Feedback to Filter Caustic Waves in Underwater Scenes in Motion |
| title |
Employing Feedback to Filter Caustic Waves in Underwater Scenes in Motion |
| spellingShingle |
Employing Feedback to Filter Caustic Waves in Underwater Scenes in Motion Trabes, Emanuel Ciencias Informáticas underwater images image filter Filtering |
| title_short |
Employing Feedback to Filter Caustic Waves in Underwater Scenes in Motion |
| title_full |
Employing Feedback to Filter Caustic Waves in Underwater Scenes in Motion |
| title_fullStr |
Employing Feedback to Filter Caustic Waves in Underwater Scenes in Motion |
| title_full_unstemmed |
Employing Feedback to Filter Caustic Waves in Underwater Scenes in Motion |
| title_sort |
Employing Feedback to Filter Caustic Waves in Underwater Scenes in Motion |
| dc.creator.none.fl_str_mv |
Trabes, Emanuel Jordán, Mario A. |
| author |
Trabes, Emanuel |
| author_facet |
Trabes, Emanuel Jordán, Mario A. |
| author_role |
author |
| author2 |
Jordán, Mario A. |
| author2_role |
author |
| dc.subject.none.fl_str_mv |
Ciencias Informáticas underwater images image filter Filtering |
| topic |
Ciencias Informáticas underwater images image filter Filtering |
| dc.description.none.fl_txt_mv |
A real-time approach for removing sunlight flickers from subaquatic scenarios captured in videos is presented. For this end, a de-flickering filter is designed. The start point is a moving landscape scene. Essentially, the filtering approach is based on morphological characteristics of the caustic waves. It constructs an a-priori de-flickered image which is afterwards enhanced. The algorithm employs feedback of optical flow fields and brightness in order to predict a one-step-ahead value of the brightness. Sociedad Argentina de Informática e Investigación Operativa (SADIO) |
| description |
A real-time approach for removing sunlight flickers from subaquatic scenarios captured in videos is presented. For this end, a de-flickering filter is designed. The start point is a moving landscape scene. Essentially, the filtering approach is based on morphological characteristics of the caustic waves. It constructs an a-priori de-flickered image which is afterwards enhanced. The algorithm employs feedback of optical flow fields and brightness in order to predict a one-step-ahead value of the brightness. |
| publishDate |
2015 |
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2015 |
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eng |
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