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Proceedings Paper

Classified transform coding of images using two-channel conjugate vector quantization
Author(s): Jae Yeal Nam; K. R. Rao
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Paper Abstract

An adaptive image coding technique, called two-channel conjugate classified discrete cosine transform/vector quantization (TCCCDCT/VQ), is proposed to efficiently exploit correlation in large image blocks by taking advantage of discrete cosine transform and vector quantization, while overcoming the suboptimalities of transform coding and reducing the complexity of vector quantization. In transform domain, a classified discrete cosine transform/vector quantization (CDCT/VQ) scheme is proposed and TCCCDCT/VQ is developed based on the CDCT/VQ scheme. These two techniques are applied to encode test images at about 0.51 BPP and 0.73 BPP.

Paper Details

Date Published: 1 November 1991
PDF: 12 pages
Proc. SPIE 1605, Visual Communications and Image Processing '91: Visual Communication, (1 November 1991); doi: 10.1117/12.50277
Show Author Affiliations
Jae Yeal Nam, Univ. of Texas/Arlington (United States)
K. R. Rao, Univ. of Texas/Arlington (United States)


Published in SPIE Proceedings Vol. 1605:
Visual Communications and Image Processing '91: Visual Communication
Kou-Hu Tzou; Toshio Koga, Editor(s)

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