On scanning techniques for lossless image coding with limited context supports

Nasir Memon, David Neuhoff, Sunil Shende

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

Abstract

Previously, the performance of context-based lossless image coding techniques was analyzed in conjunction with the Hilbert and raster scans. The analysis revealed that, under certain reasonable assumptions, the raster scan is indeed better than the Hilbert scan. In this paper, the context-based lossless image coding techniques is applied to analyzed a random scan as well as a progressive scan. It is demonstrated that the progressive scan outperforms the raster scan, but that the expected performance of a random scan is inferior to the other three systematic scans considered so far.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Image Processing
PublisherIEEE Comp Soc
Pages503-507
Number of pages5
Volume1
StatePublished - 1998
EventProceedings of the 1998 International Conference on Image Processing, ICIP. Part 2 (of 3) - Chicago, IL, USA
Duration: Oct 4 1998Oct 7 1998

Other

OtherProceedings of the 1998 International Conference on Image Processing, ICIP. Part 2 (of 3)
CityChicago, IL, USA
Period10/4/9810/7/98

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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  • Cite this

    Memon, N., Neuhoff, D., & Shende, S. (1998). On scanning techniques for lossless image coding with limited context supports. In IEEE International Conference on Image Processing (Vol. 1, pp. 503-507). IEEE Comp Soc.