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Proceedings Paper

Syntax-constrained rate-distortion optimization for DCT-based image encoding methods
Author(s): Guobin Shen; Alexis Michael Tourapis; Ming Lei Liou
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Paper Abstract

In this paper, we presented a novel and effective optimization method to achieve better trade-off between rate and distortion. The optimization is done at the encoder side alone and is transparent to the decoder. That is the quantized DCT coefficient set it optimized with full syntax compliance and decoder compatibility. The proposed method determines both the positions and the retained values of quantized DCT coefficients according to the rate-distortion performance measured by the associating Lagrangian cost. Fast dynamic programming technique was developed to release the computation burden. All the experiments show that the proposed method consistently outperforms other existing optimization methods.

Paper Details

Date Published: 30 May 2000
PDF: 9 pages
Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); doi: 10.1117/12.386704
Show Author Affiliations
Guobin Shen, Hong Kong Univ. of Science and Technology (Hong Kong)
Alexis Michael Tourapis, Hong Kong Univ. of Science and Technology (Cyprus)
Ming Lei Liou, Hong Kong Univ. of Science and Technology (Hong Kong)

Published in SPIE Proceedings Vol. 4067:
Visual Communications and Image Processing 2000
King N. Ngan; Thomas Sikora; Ming-Ting Sun, Editor(s)

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