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Fuzzy logic-based embedded system for video de-interlacing

delete2014-01-01
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OA
AI
P
Piedad Brox *
I
Iluminada Baturone
S
Santiago Sánchez-Solano
DOI:10.1016/j.asoc.2013.01.015delete
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Abstract

Abstract

En 中文
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. (C) 2013 Elsevier B.V. All rights reserved.
Keywords:
Embedded system
Video de-interlacing
Fuzzy system
IP core
AI Summary

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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Applied Soft Computing cover
Applied Soft Computing
IF:
6.6
Papers:
1.4W
Citations:
4.8W

Organization

C
consejo superior de investigaciones cientificas (csic)
Scholars:
8.8W
Papers: 8.5W
Citations: 125