Locally-adaptive image coding based on a perceptual target distortion

Ingo Hontsch, Lina Karam

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

4 Citations (Scopus)

Abstract

This paper presents a perceptual-based image coder, which discriminates between image components based on their perceptual relevance for achieving increased performance in terms of quality and bit-rate. The new coder uses a locally-adaptive perceptual quantization scheme based on a tractable perceptual distortion metric. Our strategy is to exploit human visual masking properties by deriving visual masking thresholds in a locally-adaptive fashion. The derived masking thresholds are used in controlling the quantization stage by adapting the quantizer reconstruction levels in order to meet a desired target perceptual distortion. The proposed coding scheme is flexible in that it works with any subband-based decomposition and with block-based transform methods. Compared to the existing perceptual transform-based and block-based methods, the proposed perceptual coding method exhibits superior performance in terms of bit rate and distortion control. Coding results are presented to illustrate the performance of the presented coding scheme.

Original languageEnglish (US)
Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
PublisherIEEE
Pages2569-2572
Number of pages4
Volume5
StatePublished - 1998
Externally publishedYes
EventProceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP. Part 1 (of 6) - Seattler, WA, USA
Duration: May 12 1998May 15 1998

Other

OtherProceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP. Part 1 (of 6)
CitySeattler, WA, USA
Period5/12/985/15/98

Fingerprint

Image coding
coding
masking
coders
thresholds
Mathematical transformations
Decomposition
counters
decomposition

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Acoustics and Ultrasonics
  • Software

Cite this

Hontsch, I., & Karam, L. (1998). Locally-adaptive image coding based on a perceptual target distortion. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Vol. 5, pp. 2569-2572). IEEE.

Locally-adaptive image coding based on a perceptual target distortion. / Hontsch, Ingo; Karam, Lina.

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 5 IEEE, 1998. p. 2569-2572.

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

Hontsch, I & Karam, L 1998, Locally-adaptive image coding based on a perceptual target distortion. in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. vol. 5, IEEE, pp. 2569-2572, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP. Part 1 (of 6), Seattler, WA, USA, 5/12/98.
Hontsch I, Karam L. Locally-adaptive image coding based on a perceptual target distortion. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 5. IEEE. 1998. p. 2569-2572
Hontsch, Ingo ; Karam, Lina. / Locally-adaptive image coding based on a perceptual target distortion. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 5 IEEE, 1998. pp. 2569-2572
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