Video compression based on enhanced EZW scheme and Karhunen-Loeve transform

Olexandr M. Soloveyko; Yurij S. Musatenko; Vitalij N. Kurashov; Vladislav A. Dubikovskiy

doi:10.1117/12.390483

29 June 2000 Video compression based on enhanced EZW scheme and Karhunen-Loeve transform

Olexandr M. Soloveyko, Yurij S. Musatenko, Vitalij N. Kurashov, Vladislav A. Dubikovskiy

Proceedings Volume 4041, Visual Information Processing IX; (2000) https://doi.org/10.1117/12.390483
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

The paper presents a new method for video compression based on the enhanced embedded zerotree wavelet (EZW) scheme. Recently, video codecs from the EZW family which use a 3D version of EZW or SPIHT algorithms showed better performance than the MPEG-2 compression algorithm. These algorithms have many advantages inherent for wavelet based schemes and EZW- like coders. Their most important advantages are good compression performance and scalability. However, they still allow improvement in several ways. First, as we recently showed, using Karhunen-Loeve (KL) transform instead of wavelet transform along the time axis improves compression ratio. Second, instead of the 3D EZW quantization scheme, we offer to use a convenient 2D quantization for every decorrelated frame adding one symbol `Strong Zero Tree', which means that every frame from a chosen set has a zero tree in the same location. The suggested compression algorithm based on KL transform, wavelet transform, and a new quantization scheme with strong zerotrees is free from some drawbacks of the plain 3D EZW codec. The presented codec shows 1 - 6 dB better results compared to the MPEG-2 compression algorithm on video sequences with small and medium motion.

Citation Download Citation

Olexandr M. Soloveyko, Yurij S. Musatenko, Vitalij N. Kurashov, and Vladislav A. Dubikovskiy "Video compression based on enhanced EZW scheme and Karhunen-Loeve transform", Proc. SPIE 4041, Visual Information Processing IX, (29 June 2000); https://doi.org/10.1117/12.390483

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