Multi-resolution visually lossless image coding using JPEG2000

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

8 Scopus citations

Abstract

The visibility threshold is the maximum contrast where a stimulus remains invisible. This value varies with the spatial frequency and orientation of the stimulus and is often used in determining the quantization step size of a subband for visually lossless coding. When an image is displayed at a different resolution level, the spatial frequency of each subband is also changed. Previous JPEG2000 visually lossless algorithms have a single set of quantization step sizes optimized for the full display resolution. This implies that if the image is rendered at reduced resolution there are significant amounts of extraneous information in the codestream. In this paper we present a new coding method which effectively incorporates multiple quantization step sizes into the JPEG2000 framework. This allows for visually lossless decoding at a variety of resolutions, using only a portion of the full resolution codestream.

Original languageEnglish (US)
Title of host publication2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
Pages2581-2584
Number of pages4
DOIs
StatePublished - Dec 1 2010
Event2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong
Duration: Sep 26 2010Sep 29 2010

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2010 17th IEEE International Conference on Image Processing, ICIP 2010
CountryHong Kong
CityHong Kong
Period9/26/109/29/10

Keywords

  • JPEG2000
  • JPIP
  • Scalability
  • Visibility threshold
  • Visually lossless coding

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    Oh, H., Bilgin, A., & Marcellin, M. W. (2010). Multi-resolution visually lossless image coding using JPEG2000. In 2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings (pp. 2581-2584). [5651762] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2010.5651762