Locally-adaptive perceptual quantization without side information for DCT coefficients

Ingo S. Hontsch, Lina Karam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Existing JPEG/MPEG compliant perceptual coding methods do not fully exploit the local variation of perceptual masking thresholds. This work demonstrates that, for natural images with the same perceptual quality, the first-order entropy of the quantizer outputs can be reduced by 15 to 40 percent when optimal locally-adaptive perceptual quantization is used. Locally-adaptive perceptual quantization requires the perceptual thresholds to be available at the decoder. However, transmitting the thresholds is prohibited by the large amount of side information required. In this paper, a DCT-based method is introduced that performs locally-adaptive perceptual quantization without side information based on estimates of the perceptual thresholds from the already quantized data. Since no additional side information is required, this method is compliant with the bit stream syntax of the above mentioned standards.

Original languageEnglish (US)
Title of host publicationConference Record of the Asilomar Conference on Signals, Systems and Computers
EditorsM.P. Farques, R.D. Hippenstiel
PublisherIEEE Comp Soc
Pages995-999
Number of pages5
Volume2
StatePublished - 1998
EventProceedings of the 1997 31st Asilomar Conference on Signals, Systems & Computers. Part 1 (of 2) - Pacific Grove, CA, USA
Duration: Nov 2 1997Nov 5 1997

Other

OtherProceedings of the 1997 31st Asilomar Conference on Signals, Systems & Computers. Part 1 (of 2)
CityPacific Grove, CA, USA
Period11/2/9711/5/97

ASJC Scopus subject areas

  • Hardware and Architecture
  • Signal Processing
  • Electrical and Electronic Engineering

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    Hontsch, I. S., & Karam, L. (1998). Locally-adaptive perceptual quantization without side information for DCT coefficients. In M. P. Farques, & R. D. Hippenstiel (Eds.), Conference Record of the Asilomar Conference on Signals, Systems and Computers (Vol. 2, pp. 995-999). IEEE Comp Soc.