期刊文献+

一种快速分形图像压缩编码 被引量:4

Julia Images'and Fractal Image Compression Coding
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摘要 根据统计规律建立一个小型固定字典 ,用以加速分形图像的压缩编码 ;然后 ,用Julia图像的生成的图像块作为分形图像压缩编码字典的补充 ;还建立一个编码和解码都相同的平均值字典·因此 ,使用的压缩方法改变了由常规设计的传统分形图像压缩编码使用编码和解码不相同字典进行编码和解码的缺点·实验结果表明 ,所使用的方法能很好地对图像进行分形压缩编码和解码 ,和常规分形编码方法相比还具有较高的PSNR· A small fixed compression dictionary was built according to statistical law to speed up fractal image compression coding. Many 8×8 image blocks were then created by the escaping method to produce Julia images by using the image blocks in fractal image compression coding. Finally, a mean image compression dictionary was created that is the same as the image decompression dictionary. Therefore, the compression algorithm can correct the defect of using an image compression dictionary that is not same as the image decompression dictionary in the conventional fractal image compression coding. The experimental results show that the algorithm can realize fractal image coding and decoding very well and also it has better PSNR than the conventional fractal image compression coding.
出处 《东北大学学报(自然科学版)》 EI CAS CSCD 北大核心 2002年第9期825-828,共4页 Journal of Northeastern University(Natural Science)
基金 国家自然科学基金资助项目 (69973 0 3 3 )
关键词 分形图像 压缩编码 固定压缩字典 统计规律 图像编码 图像解码 JULIA集 图像处理 fixed compression dictionary statistical law image coding image decoding fractal Julia set
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参考文献13

  • 1[1]Jacquin A E. Image coding based on a fractal theory of iterated contractive image transformations[J]. IEEE Transactions on Image Processing, 1992,1(1):18-30.
  • 2[2]Falconer K J. Fractal geometry:mathematical foundation and application[M]. New York: Wiley, 1990.90-120.
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  • 10[10]Chang S K, Rin C K, Sang U L. A fractal vector quantizer for image coding[J]. IEEE Transactions on Image Processing, 1998,7(11):445-453.

二级参考文献5

共引文献9

同被引文献36

  • 1Jacquin A E. Image coding based on a fractal theory of iterated contractive image transformations [ J ]. IEEE Transactions on Image Processing, 1992,1 ( 1 ) : 18 - 30.
  • 2Popeseu D C, Dimca A, Hong Y. A nonlinear model for fractal image coding [ J ]. IEEE Transactions on Image Processing, 1997,6(3) :373 - 382.
  • 3Barnsley M F. Fractals Everywhere [ M]. New York:Academic Press, 1993. 118- 138.
  • 4Fisher Y. Fractal image compression[J]. Fractals, 1994,2(3) :321 - 329.
  • 5Jacobs E W, Fisher Y,Boss R D. Image compression: a studyof the iterated transform method [ J ]. Signal Processing,1992,2(9) : 127 - 142.
  • 6Christopher J W, Blake F B. On the performance of fractal compression with clustering [ J ]. IEEE Transactions on Image Processing, 1996,5 (3) :522 - 526.
  • 7Chang H T, Kuo C J. Iteration-free fractal image coding based on efficient domain pool design [ J ]. IEEE Transactions on Image Processing, 2000,9(3) : 329 - 339.
  • 8Truong T K, Jeng J H, Reed I S, et al. A fast encoding algorithm for fractal image compression using the DCT inner product[J ]. IEEE Transactions on Image Processing, 1999,9(4) : 529 - 535.
  • 9Hamzaoui R, Saupe D, Combining fractal image compression and vector quantition [ J ]. IEEE Transactions on Image Processing, 2000,9(2) : 134 - 142.
  • 10Chang S K,Rin C K,Sang U L. A fractal vector quantlzer for image coding[J]. IEEE Transactions on Image Processing,1998,7 ( 11 ) : 445 - 453.

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