Adaptive preprocessing scheme using rank for lossless indexed image compression

  • Authors:
  • Kang-Soo You;Tae-Yoon Park;Euee S. Jang;Hoon-Sung Kwak

  • Affiliations:
  • Dept. of Image Engineering, Chonbuk National University, Jeonju, Korea;Dept. of Electrical & Computer Engineering, Virginia Tech, Blacksburg, VA;College of Information & Communication, Hanyang University, Seoul, Korea;Dept. of Image Engineering, Chonbuk National University, Jeonju, Korea

  • Venue:
  • ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
  • Year:
  • 2005

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Abstract

This paper proposes a brand-new preprocessing scheme using the ranking of co-occurrence count about indices in neighboring pixels. Original indices in an index image are substituted by their ranks. Arithmetic coding, then, is followed. Using this proposed algorithm, a better compression efficiency can be expected with higher data redundancy because the indices of the most pixels are concentrated to the relatively few rank numbers. Experimental results show that the proposed algorithm achieves a better compression performance up to 26–48% over GIF, arithmetic coding and Zeng's scheme.