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An effective fractal image compression algorithm based on plane fitting 被引量:2

An effective fractal image compression algorithm based on plane fitting
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摘要 A new method using plane fitting to decide whether a domain block is similar enough to a given range block is proposed in this paper. First, three coefficients are computed for describing each range and domain block. Then, the best-matched one for every range block is obtained by analysing the relation between their coefficients. Experimental results show that the proposed method can shorten encoding time markedly, while the retrieved image quality is still acceptable. In the decoding step, a kind of simple line fitting on block boundaries is used to reduce blocking effects. At the same time, the proposed method can also achieve a high compression ratio. A new method using plane fitting to decide whether a domain block is similar enough to a given range block is proposed in this paper. First, three coefficients are computed for describing each range and domain block. Then, the best-matched one for every range block is obtained by analysing the relation between their coefficients. Experimental results show that the proposed method can shorten encoding time markedly, while the retrieved image quality is still acceptable. In the decoding step, a kind of simple line fitting on block boundaries is used to reduce blocking effects. At the same time, the proposed method can also achieve a high compression ratio.
出处 《Chinese Physics B》 SCIE EI CAS CSCD 2012年第9期149-155,共7页 中国物理B(英文版)
基金 Project supported by the National Natural Science Foundation of China (Grant Nos. 61173183, 60973152, and 60573172) the Special Scientific Research Fund for the Doctoral Program of Higher Education of China (Grant No. 20070141014) the Natural Science Foundation of Liaoning Province, China (Grant No. 20082165)
关键词 fractal image compression plane fitting peak signal to noise ratio gray image fractal image compression, plane fitting, peak signal to noise ratio, gray image
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  • 1Barnsley M F 1988 Fractal Everywhere (New York: Aca- demic) p. 34.
  • 2Jacquin A E 1992 IEEE Trans. Image Process. 1 18.
  • 3Fisher Y 1995 Fractal Image Compression: Theory and Application (New York: Springer-Verlag) p. 121.
  • 4Duan L M, Shao C F, Yue H and Guan H Z 2010 Acta Phys. Sin. 59 4499 (in Chinese).
  • 5Sze C J, Liao H Y, Fan K C, Chern M Y and Tsao C K 1996 Image Vision Comput. 14 401.
  • 6Zhang X, Ren W, Tang D N and Tang G N 2010 Acta Phys. Sin. 59 5281 (in Chinese).
  • 7Truong T K, Jeng J H, Reed I S, Lee P C and Li A Q 2000 IEEE Trans. Image Process. 9 529.
  • 8Yue H, Shao C F and Yao Z S 2009 Acta Phys. Sin. 58 4523 (in Chinese).
  • 9Lai C M, Lam K M and Siu W C 2003 IEEE Trans. Image Process. 12 1398.
  • 10Song Y R and Jiang G P 2009 Acta Phys. Sin. 58 5911 (in Chinese).

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