Hierarchical bilevel image compression based on cutset sampling

Shengxin Zha*, Thrasyvoulos N Pappas, David L. Neuhoff

*Corresponding author for this work

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

7 Scopus citations

Abstract

We propose a hierarchical lossy bilevel image compression method that relies on adaptive cutset sampling (along lines of a rectangular grid with variable block size) and Markov Random Field based reconstruction. It is an efficient encoding scheme that preserves image structure by using a coarser grid in smooth areas of the image and a finer grid in areas with more detail. Experimental results demonstrate that the proposed method performs as well as or better than the fixed-grid approach, and outperforms other lossy bilevel compression methods in its rate-distortion performance.

Original languageEnglish (US)
Title of host publication2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings
Pages2517-2520
Number of pages4
DOIs
StatePublished - Dec 1 2012
Event2012 19th IEEE International Conference on Image Processing, ICIP 2012 - Lake Buena Vista, FL, United States
Duration: Sep 30 2012Oct 3 2012

Other

Other2012 19th IEEE International Conference on Image Processing, ICIP 2012
CountryUnited States
CityLake Buena Vista, FL
Period9/30/1210/3/12

Keywords

  • arithmetic coding
  • MRF
  • rate-distortion
  • structurally lossless compression

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

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