LMSE 해석 및 부블록 특징에 근거한 고속 프랙탈 부호화

Fast fractal coding based on LMSE analysis and subblock feature

  • 김상현 (경북대학교 전자,전기공학부) ;
  • 김남철 (경북대학교 전자,전기공학부)
  • 발행 : 1997.06.01

초록

In this paper, we propose a fast fractal coding method based on LMSE analysis and subblock feature. In the proposed method, scaling paarameter is calculated and whether search for each domain block should be done or not is determined based on the LMSE analysis of fractal approximation, and isometry parameter is chosen based on subblock feature. To investigate the efficiency of the proposed method, we compared it with Jacquin's method on image quality and encoding time. Experimental results show the proposed method yields nearly the same performance as that of Jacquin method in PSNR, and its encoding time is reduced by about 1/7 times.

키워드

참고문헌

  1. Fractals Everywhere M. F. Barnsley
  2. Fractals Image Compression M. F. Barnsley;L. P. Hurd
  3. Proc. IEEE v.81 no.10 Fractal image coding:A review A. E. Jacquin
  4. SPIEVCIP'90 v.1360 Fractal image coding based on a theory of iterated contractive image transformations A. E. Jacquin
  5. Ph.D. dissertation, Georgia Tech. A fractal theory of iterated Markov operators with applications to digital image coding A. E. Jacquin
  6. Fractal Image Compression:Theory and Application Y. Fisher
  7. Navel Ocean Systems Center Technical Report 1408 Iterated transform image compression Y. Fisher;E. W. Facovs;R. D. Boss
  8. SPIEVCIP'96 v.2727 Hybrid fractal image coding method Z. Zhang
  9. 제9회 신호처리합동학술대회 논문집 Affine변환 특성을 이용한 고속 프랙탈 부호화 김상현;김남철