Classified transform coding of images using two-channel conjugate vector quantization

Jae Yeal Nam; K. R. Rao

doi:10.1117/12.50277

1 November 1991 Classified transform coding of images using two-channel conjugate vector quantization

Jae Yeal Nam, K. R. Rao

Proceedings Volume 1605, Visual Communications and Image Processing '91: Visual Communication; (1991) https://doi.org/10.1117/12.50277
Event: Visual Communications, '91, 1991, Boston, MA, United States

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.

Citation Download Citation

Jae Yeal Nam and K. R. Rao "Classified transform coding of images using two-channel conjugate vector quantization", Proc. SPIE 1605, Visual Communications and Image Processing '91: Visual Communication, (1 November 1991); https://doi.org/10.1117/12.50277

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