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Proceedings Paper

Traffic video compression system using wavelet analysis
Author(s): Tzu-Hung Cheng; Chi Hau Chen
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Paper Abstract

Transmission and storage of traffic video are important to traffic video, algorithms that will take advantage of these properties to ease the video compression should be explored. In this paper, we propose a video compression algorithm that takes advantage of still background of traffic video. By applying the wavelet transform to the compression algorithm, the reconstructed video shows no blocking artifacts as in the discrete cosine transform based approach. A wavelet- based de-blurring preprocessing can also be merged into the video compression algorithm for better reconstructed results if the original video was blurred or foggy.

Paper Details

Date Published: 8 January 1999
PDF: 6 pages
Proc. SPIE 3525, Mobile Robots XIII and Intelligent Transportation Systems, (8 January 1999); doi: 10.1117/12.335716
Show Author Affiliations
Tzu-Hung Cheng, Univ. of Massachusetts/Dartmouth (United States)
Chi Hau Chen, Univ. of Massachusetts/Dartmouth (United States)

Published in SPIE Proceedings Vol. 3525:
Mobile Robots XIII and Intelligent Transportation Systems
Howie M. Choset; Pushkin Kachroo; Mikhail A. Kourjanski; Douglas W. Gage; Pushkin Kachroo; Marten J. de Vries; Mikhail A. Kourjanski; Marten J. de Vries, Editor(s)

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