Analysis of some common scanning techniques for lossless image coding

Nasir Memon, David Neuhoff, Sunil Shende

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

The context based predictive techniques usually employed for lossless image compression are inherently designed with respect to a raster scan and are difficult to extend in a natural and consistent manner to work in conjunction with a Hilbert scan. On the other hand, it may be that the raster scan is inherently superior in the framework typically employed by practical losses image compression techniques. The performance of context-based lossless image coding techniques in conjunction with the Hilbert and raster scans is analyzed. Under certain assumptions, the raster scan is better than the Hilbert scan, dispelling the popular notion that using a Hilbert scan would always lead to improved performance.

Original languageAmerican English
Pages (from-to)1446-1450
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
Volume2
StatePublished - 1998
Externally publishedYes
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

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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