Novel fractal image compression method with non-iterative decoder

Chang Su Kim, Rin Chul Kim, Sang Uk Lee

Research output: Contribution to conferencePaper

6 Citations (Scopus)

Abstract

In this paper, we propose a novel fractal image compression technique, which does not require iteration at the decoder. The main problem relating to the conventional non-iterative algorithm is that the smooth region cannot be coded efficiently, since the size of the range block is limited to be less than 8 × 8. We alleviate this problem by generating two codebooks from planarly approximated image. In other words, the first codebook is generated by the smoothing operator for large and smooth range blocks and the second codebook is generated by the spatial contraction operator for small and active range blocks, respectively. The computer simulation results on the real images demonstrate that the proposed algorithm provides much better performance than most other fractal-based coders, in terms of the subjective quality as well as the objective quality (PSNR). Moreover, the proposed algorithm is very fast in decoding, since it does not require iteration at the decoder.

Original languageEnglish
Pages268-271
Number of pages4
Publication statusPublished - 1995
Externally publishedYes
EventProceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3) - Washington, DC, USA
Duration: 1995 Oct 231995 Oct 26

Other

OtherProceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3)
CityWashington, DC, USA
Period95/10/2395/10/26

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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  • Cite this

    Kim, C. S., Kim, R. C., & Lee, S. U. (1995). Novel fractal image compression method with non-iterative decoder. 268-271. Paper presented at Proceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3), Washington, DC, USA, .