Transform coding of monochrome and color images using trellis coded quantization

Kai Loong Tong, Michael W Marcellin

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

Abstract

Trellis coded quantization (TCQ) is incorporated into a transform coding structure for encoding monochrome and color images at 1 bit/pixel. Both fixed-rate and entropy-constrained designs are considered. 256-pixel × 256-pixel, 8-b gray-level images and 24-b color images were encoded using both TCQ-based and scalar-quantizer-based schemes to provide comparisons on the basis of peak-signal-to-noise ratio and subjective image quality. Comparisons are also provided for several image coding schemes in the literature. The subjective quality of the images produced by the TCQ-based systems was significantly better than that of the scalar quantizer-based systems. The high frequency background noise, fuzziness, and block artifacts produced by the scalar-quantizer-based systems are virtually eliminated by the TCQ-based systems.

Original languageEnglish (US)
Title of host publicationConference Record - Asilomar Conference on Circuits, Systems & Computers
PublisherPubl by Maple Press, Inc
Pages446-450
Number of pages5
Volume1
ISBN (Print)0818624701
Publication statusPublished - 1991
Externally publishedYes
Event25th Asilomar Conference on Signals, Systems & Computers Part 1 (of 2) - Pacific Grove, CA, USA
Duration: Nov 4 1991Nov 6 1991

Other

Other25th Asilomar Conference on Signals, Systems & Computers Part 1 (of 2)
CityPacific Grove, CA, USA
Period11/4/9111/6/91

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Tong, K. L., & Marcellin, M. W. (1991). Transform coding of monochrome and color images using trellis coded quantization. In Conference Record - Asilomar Conference on Circuits, Systems & Computers (Vol. 1, pp. 446-450). Publ by Maple Press, Inc.