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A FPGA implementation of low-complexity noise removal

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3 Author(s)
Matsubara, T. ; Dept. of Electron. Eng. Comput. Sci., Fukuoka Univ., Fukuoka, Japan ; Moshnyaga, V.G. ; Hashimoto, K.

Impulse noise removal is a very important preprocessing operation in many computer vision applications. This paper presents a low-complexity noise removal based on a conditional technique and outlines its FPGA implementation for window sizes of (3×3) and (5×5). As the experiments show, the proposed technique performs significantly better than standard median filter and achieves superior image quality. The FPGA implementations are very compact, fast and consume low-power.

Published in:
Electronics, Circuits, and Systems (ICECS), 2010 17th IEEE International Conference on

Date of Conference: 12-15 Dec. 2010

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