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Fuzzy logic-based embedded system for video de-interlacing

 

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Author: Brox Jiménez, Piedad
Baturone Castillo, María Iluminada
Sanchez Solano, Santiago
Department: Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo
Date: 2014
Published in: Applied Soft Computing Journal, 14 (PART C), 338-346.
Document type: Article
Abstract: Video de-interlacing algorithms perform a crucial task in video processing. Despite these algorithms are developed using software implementations, their implementations in hardware are required to achieve real-time operation. This paper describes the development of an embedded system for video de-interlacing. The algorithm for video de-interlacing uses three fuzzy logic-based systems to tackle three relevant features in video sequences: motion, edges, and picture repetition. The proposed strategy implements the algorithm as a hardware IP core on a FPGA-based embedded system. The paper details the proposed architecture and the design methodology to develop it. The resulting embedded system is verified on a FPGA development board and it is able to de-interlace in real-time
Size: 880.4Kb
Format: PDF

URI: http://hdl.handle.net/11441/56518

DOI: 10.1016/j.asoc.2013.01.015

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