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Elevation data compression using IFS-based three-dimensional fractal interpolation

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【作者】 吴思源周源华

【Author】 Siyuan Wu and Yuanhua Zhou Institute of Image Communication & Information Processing, Shanghai Jiaotong University, Shanghai 200030

【机构】 Institute of Image Communication & Information ProcessingShanghai Jiaotong UniversityShanghai 200030Shanghai 200030

【摘要】 <正> This letter presents a novel application of iterated function system (IFS) based three-dimensional (3D) fractal interpolation to compression elevation data. The parameters of contractive transformations axe simplified by a concise fractal iteration form with geometric meaning. A local iteration algorithm is proposed, which can solve the non-separation problem when Collage Theorem is applied to find the appropriate fractal parameters. The elevation data compression is proved experimentally to be effective in reconstruction quality and time-saving.

【Abstract】 This letter presents a novel application of iterated function system (IFS) based three-dimensional (3D) fractal interpolation to compression elevation data. The parameters of contractive transformations axe simplified by a concise fractal iteration form with geometric meaning. A local iteration algorithm is proposed, which can solve the non-separation problem when Collage Theorem is applied to find the appropriate fractal parameters. The elevation data compression is proved experimentally to be effective in reconstruction quality and time-saving.

  • 【文献出处】 Chinese Optics Letters ,中国光学快报(英文版) , 编辑部邮箱 ,2004年10期
  • 【分类号】TN911.73
  • 【下载频次】39
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