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A research on fractal image compression based on fuzzy theory

  • Rui Yang
  • , Xiao Yuan Yang
  • , Bo Li
  • Key Laboratory of Precision Opto-Mechatronics Technology (Ministry of Education)

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We present an entirely new fuzzy-theory-based fractal image compression algorithm. Based on Jacquin's fractal image compression algorithm, we utilize the fuzzy mathematics theory in this algorithm, and for the first time set up an image-based fuzzy integrate judgment model in which the relevant quantity of the image block is designed. The model can reflect the edge degree in the image block. When performing range-domain blocks matching, the model can significantly save the searching time. Experimental results show that the coding time can be reduced approximately by 60-70% while the PSNR of the most reconstructed images is nearly the same. Therefore this algorithm has obvious advantage in increasing the coding speed, it has wide application prospect.

Original languageEnglish
Title of host publicationProceedings of the International Computer Conference 2006 on Wavelet Active Media Technology and Information Processing, ICWAMTIP 2006
PublisherWorld Scientific Publishing Co. Pte Ltd
Pages305-310
Number of pages6
ISBN (Print)9812700420, 9789812700421
StatePublished - 2006
Event2006 International Computer Conference on Wavelet Active Media Technology and Information Processing, ICWAMTIP 2006 - Chongqing, China
Duration: 29 Aug 200631 Aug 2006

Publication series

NameProceedings of the International Computer Conference 2006 on Wavelet Active Media Technology and Information Processing, ICWAMTIP 2006

Conference

Conference2006 International Computer Conference on Wavelet Active Media Technology and Information Processing, ICWAMTIP 2006
Country/TerritoryChina
CityChongqing
Period29/08/0631/08/06

Keywords

  • Fractal image compression

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