Traffic video compression system using wavelet analysis

Tzu-Hung Cheng; Chi Hau Chen

doi:10.1117/12.335716

8 January 1999 Traffic video compression system using wavelet analysis

Tzu-Hung Cheng, Chi Hau Chen

Proceedings Volume 3525, Mobile Robots XIII and Intelligent Transportation Systems; (1999) https://doi.org/10.1117/12.335716
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States

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.

Citation Download Citation

Tzu-Hung Cheng and Chi Hau Chen "Traffic video compression system using wavelet analysis", Proc. SPIE 3525, Mobile Robots XIII and Intelligent Transportation Systems, (8 January 1999); https://doi.org/10.1117/12.335716

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