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Low Complexity Integer Transform and Adaptive Quantization Optimization

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Abstract

In this paper, a new low complexity integer transform is proposed, which has been adopted by AVS1-P7. The proposed transform can enable AVS1-P7 to share the same quantization/dequantization table with AVS1-P2. As the bases of the proposed transform coefficients are very close, the transform normalization can be implemented only on the encoder side and the dequantization table size can be reduced compared with the transform used in H.264/MPEG-4 AVC. Along with the feature of the proposed transform, adaptive dead-zone quantization optimization for the proposed transform is studied. Experimental results show that the proposed integer transform has similar coding performance compared with the transform used in H.264/MPEG-4 AVC, and would gain near 0.1dB with the adaptive dead-zone quantization optimization.

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Authors and Affiliations

  1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100080, P.R. China

    Si-Wei Ma & Wen Gao

  2. Department of Computer Science, Harbin Institute of Technology, Harbin, 150001, P.R. China

    Wen Gao

Authors
  1. Si-Wei Ma
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  2. Wen Gao
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Corresponding author

Correspondence to Si-Wei Ma.

Additional information

Supported by the National Natural Science Foundation of China under Grant No. 60333020, and the National Basic Research 973 Program of China under Grant No. 2001CCA03300.

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Ma, SW., Gao, W. Low Complexity Integer Transform and Adaptive Quantization Optimization. J Comput Sci Technol 21, 354–359 (2006). https://doi.org/10.1007/s11390-006-0354-8

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  • DOI: https://doi.org/10.1007/s11390-006-0354-8

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