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一种新型非线性分形图像压缩模型

New Nonlinear Model for Fractal Image Compression Coding
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摘要 HongYan等提出的非线性分形图像压缩模型开辟了分形图像压缩的新领域,部分解决了经典分形图像压缩编码字典较小的缺点,但是,模型比较复杂.针对这一不足之处,提出一个简单的非线性分形压缩模型,简化了在文献[2]中HongYan等提出的模型,并能同样地解决分形压缩字典较小的问题.实验结果表明,这一新的非线性分形压缩模型简单可行,并具有良好的压缩结果和高质量的重建图像. A nonlinear fractal image compression model that were put forward by Hong Yan etc pioneers a new field of nonlinear fractal image compression method. It can partly solve a problem that the compression dictionary is very small, but the model is very complicated. In view of the defect, this paper designs a simple and nonlinear disk model, simplifies the disk model by Hong Yan designed in literature ,and can also solve problem of small compression dictionary. The experimental results show that the new model is very simple and has better compression results and high quality rebuilding image.
出处 《小型微型计算机系统》 CSCD 北大核心 2005年第9期1632-1634,共3页 Journal of Chinese Computer Systems
基金 沈阳市科技局基金(1022038-1-04)资助 沈阳建筑工程学院博士基金资助资助
关键词 分形图像 圆盘模型 压缩字典 分形编码 重建图像 fractal image disk model compression dictionary fractal coding rebuilding image
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参考文献12

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