Real-time wavelet based blur estimation on cell BE platform

Nemanja Lukic; Ljiljana Platiša; Aleksandra Pižurica; Wilfried Philips; Miodrag Temerinac

doi:10.1117/12.839501

4 February 2010 Real-time wavelet based blur estimation on cell BE platform

Nemanja Lukic, Ljiljana Platiša, Aleksandra Pižurica, Wilfried Philips, Miodrag Temerinac

Proceedings Volume 7535, Wavelet Applications in Industrial Processing VII; 75350C (2010) https://doi.org/10.1117/12.839501
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States

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.

Citation Download Citation

Nemanja Lukic, Ljiljana Platiša, Aleksandra Pižurica, Wilfried Philips, and Miodrag Temerinac "Real-time wavelet based blur estimation on cell BE platform", Proc. SPIE 7535, Wavelet Applications in Industrial Processing VII, 75350C (4 February 2010); https://doi.org/10.1117/12.839501

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