Syntax-constrained rate-distortion optimization for DCT-based image encoding methods

Guobin Shen; Alexis Michael Tourapis; Ming Lei Liou

doi:10.1117/12.386704

30 May 2000 Syntax-constrained rate-distortion optimization for DCT-based image encoding methods

Guobin Shen, Alexis Michael Tourapis, Ming Lei Liou

Proceedings Volume 4067, Visual Communications and Image Processing 2000; (2000) https://doi.org/10.1117/12.386704
Event: Visual Communications and Image Processing 2000, 2000, Perth, Australia

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.

Citation Download Citation

Guobin Shen, Alexis Michael Tourapis, and Ming Lei Liou "Syntax-constrained rate-distortion optimization for DCT-based image encoding methods", Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); https://doi.org/10.1117/12.386704

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