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Proceedings Paper

Real-time wavelet domain video denoising implemented in FPGA
Author(s): Mihajlo Katona; Aleksandra Pizurica; Vladimir Zlokolica; Nikola Teslic; Wilfried R. Philips
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Paper Abstract

In this paper we develop an advanced spatio-temporal wavelet domain filtering algorithm which is suitable for hardware implementation, we implement it in the Field Programmable Gate Arrays (FPGA) and report the results of real-time processing. The wavelet decomposition in our implementation is non-decimated with three decomposition levels and with a Daubechies' minimum phase orthogonal wavelet. Noise reduction is implemented with spatially adaptive Bayesian wavelet shrinkage. In the next filtering stage, a motion detector controls selective, recursive averaging of pixel intensities over time. The algorithm is customized for the hardware implementation and is realized in FPGA. The standard composite television video stream is digitalized and used as source for real-time video sequences. The results demonstrate the effectiveness of the developed scheme for real time video processing.

Paper Details

Date Published: 1 November 2004
PDF: 8 pages
Proc. SPIE 5607, Wavelet Applications in Industrial Processing II, (1 November 2004); doi: 10.1117/12.573783
Show Author Affiliations
Mihajlo Katona, Univ. of Novi Sad (Serbia and Montenegro)
Aleksandra Pizurica, Ghent Univ. (Belgium)
Vladimir Zlokolica, Ghent Univ. (Belgium)
Nikola Teslic, Univ. of Novi Sad (Serbia and Montenegro)
Wilfried R. Philips, Ghent Univ. (Belgium)

Published in SPIE Proceedings Vol. 5607:
Wavelet Applications in Industrial Processing II
Frederic Truchetet; Olivier Laligant, Editor(s)

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