Hybrid fractal image coding with quadtree-based progressive structure

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

8 Scopus Citations
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Author(s)

  • Ching Hung Yuen
  • Oi Yan Lui
  • Kwok Wo Wong

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)1328-1341
Journal / PublicationJournal of Visual Communication and Image Representation
Volume24
Issue number8
Publication statusPublished - 2013

Abstract

A progressive structure which takes the quadtree depth into consideration is proposed for fractal image coding. Simulation results show that its image quality at different received data rates is better than that without considering the quadtree level. Then, a hybrid fractal image coding scheme based on traditional and no-search fractal image coding with the proposed progressive structure is suggested. The image quality and compression ratio can be controlled by a threshold, which makes it downward compatible to the no-search fractal image coding. Experimental results justify that the progressive performance of the proposed scheme is better than that of traditional fractal image coding. © 2013 Elsevier Inc. All rights reserved.

Research Area(s)

  • Domain block and range block, Fractal image coding, Image compression, Iterated function system, No-search encoding, Progressive image transmission, Quadtree partitioning, SSIM measure