Name: fuzzy logic-based algorithms for video de-interlacing (en Inglés)
Price: 151600.00 CLP
Availability: InStock
Author: Brox, Piedad ; Castillo, Iluminada Baturone ; Solano, Santiago Sánchez
ISBN: 9783642262623

portada fuzzy logic-based algorithms for video de-interlacing (en Inglés)

Formato

Libro Físico

Autor

Piedad Brox

Iluminada Baturone Castillo

Santiago Sánchez Solano

Editorial

Springer

Año

2012

Idioma

Inglés

N° páginas

174

Encuadernación

Tapa Blanda

Dimensiones

22.9 x 15.5 x 1.0 cm

Peso

0.27 kg.

ISBN

3642262627

ISBN13

9783642262623

Categorías

Ingeniería de las comunicaciones y las telecomunicaciones
Aplicaciones gráficas y multimedia
Inteligencia artificial

fuzzy logic-based algorithms for video de-interlacing (en Inglés)

Piedad Brox (Autor) · Iluminada Baturone Castillo (Autor) · Santiago Sánchez Solano (Autor) · Springer · Tapa Blanda

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Reseña del libro "fuzzy logic-based algorithms for video de-interlacing (en Inglés)"

The 'Fuzzy Logic' research group of the Microelectronics Institute of Seville is composed of researchers who have been doing research on fuzzy logic since the beginning of the 1990s. Mainly, this research has been focused on the microel- tronic design of fuzzy logic-based systems using implementation techniques which range from ASICs to FPGAs and DSPs. Another active line was the development of a CAD environment, named Xfuzzy, to ease such design. Several versions of Xfuzzy have been and are being currently developed by the group. The addressed applications had basically belonged to the control ?eld domain. In this sense, s- eral problems without a linear control solution had been studied thoroughly. Some examples are the navigation control of an autonomous mobile robot and the level control of a dosage system. The research group tackles a new activity with the work developed in this book: the application of fuzzy logic to video and image processing. We addressed our interest to problems related to pixel interpolation, with the aim of adapting such interpolation to the local features of the images. Our hypothesis was that measures and decisions to solve image interpolation, which traditionally had been done in a crisp way, could better be done in a fuzzy way. Validation of this general hypothesis has been done speci?cally in the interpolation problem of video de-interlacing. - interlacing is one of the main tasks in video processing.