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Proceedings Paper

Real-time wavelet based blur estimation on cell BE platform
Author(s): Nemanja Lukic; Ljiljana Platiša; Aleksandra Pižurica; Wilfried Philips; Miodrag Temerinac
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Paper Abstract

We propose a real-time system for blur estimation using wavelet decomposition. The system is based on an emerging multi-core microprocessor architecture (Cell Broadband Engine, Cell BE) known to outperform any available general purpose or DSP processor in the domain of real-time advanced video processing solutions. We start from a recent wavelet domain blur estimation algorithm which uses histograms of a local regularity measure called average cone ratio (ACR). This approach has shown a very good potential for assessing the level of blur in the image yet some important aspects remain to be addressed in order for the method to become a practically working one. Some of these aspects are explored in our work. Furthermore, we develop an efficient real-time implementation of the novelty metric and integrate it into a system that captures live video. The proposed system estimates blur extent and renders the results to the remote user in real-time.

Paper Details

Date Published: 4 February 2010
PDF: 11 pages
Proc. SPIE 7535, Wavelet Applications in Industrial Processing VII, 75350C (4 February 2010); doi: 10.1117/12.839501
Show Author Affiliations
Nemanja Lukic, Novi Sad Univ. (Serbia)
Ljiljana Platiša, Ghent Univ. (Belgium)
Aleksandra Pižurica, Ghent Univ. (Belgium)
Wilfried Philips, Ghent Univ. (Belgium)
Miodrag Temerinac, Novi Sad Univ. (Serbia)


Published in SPIE Proceedings Vol. 7535:
Wavelet Applications in Industrial Processing VII
Frédéric Truchetet; Olivier Laligant, Editor(s)

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