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Proceedings Paper

PLT: a new class of low-complexity optimal transform coders
Author(s): See-May Phoong; Yuan-Pei Lin
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Paper Abstract

Transform coding and differential pulse code modulation (DPCM) are two of the most important techniques for signal compression. The Karhunen-Loeve transform (KLT) is the optimal unitary transform that maximizes the coding gain. For DPCM coder, the optimal linear predictor maximizes its coding gain. In this paper, we will provide a connection between KLT and DPCM. A new class of nonunitary transform called Prediction-based Lower triangular Transform (PLT) is introduced. We will show that PLT is a special case of vector prediction, when the predictor is a lower triangular matrix. PLT has the same coding gain as KLT but its design and computational cost is much lower. In addition, it has many other desired features that make it a good choice for signal compression.

Paper Details

Date Published: 26 October 1999
PDF: 10 pages
Proc. SPIE 3813, Wavelet Applications in Signal and Image Processing VII, (26 October 1999); doi: 10.1117/12.366791
Show Author Affiliations
See-May Phoong, National Taiwan Univ. (Taiwan)
Yuan-Pei Lin, National Chiao Tung Univ. (Taiwan)


Published in SPIE Proceedings Vol. 3813:
Wavelet Applications in Signal and Image Processing VII
Michael A. Unser; Akram Aldroubi; Andrew F. Laine, Editor(s)

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