Cellular automata based encoding technique for wavelet transformed data targeting still image compression

  • Authors:
  • Chandrama Shaw;Sukanta Das;Biplab K. Sikdar

  • Affiliations:
  • Dept of Information Technology, Bengal Engineering & Sc University, Shibpur, Howrah, India;Dept of Information Technology, Bengal Engineering & Sc University, Shibpur, Howrah, India;Dept of Computer Sc & Technology, Bengal Engineering & Sc University, Shibpur, Howrah, India

  • Venue:
  • ACRI'06 Proceedings of the 7th international conference on Cellular Automata for Research and Industry
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper reports cellular automata (CA) based efficient encoding technique for wavelet transformed data of still image The encoding technique handles wavelet coefficients, in transformed domain, and then simulates different classes of transforms with the introduction of CA framework It ideally suits for low cost implementation of the compression technology for still images Reported experimental results establish the effectiveness of the proposed scheme.