| 采用局部分形相似变换的图像插值 |
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| 引用本文： | 刘小平,彭嘉雄,丁明跃.采用局部分形相似变换的图像插值[J].华中科技大学学报(自然科学版),1996(2). |
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| 作者姓名： | 刘小平 彭嘉雄 丁明跃 |
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| 作者单位： | 华中理工大学图像识别与人工智能研究所 |
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| 摘 要： | 提出了适用于复杂自然景物图像的基于局部分形自相似变换的图像插值方法，在常用的局部分形自相似变换基础上增加了矩形图像块的自相似变换，并采用二元函数的极值方法求最佳相似变换．实验表明所提出的方法能够克服传统的线性或样条插值所产生的方块效应，并且比一些随机插值算法如随机中点偏移插值算法失真度小．
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| 关 键 词： | 分形，自相似分形变换，图像插值，最佳相似变换，矩形块变换 |
Application of Local Fractal Similarity Transformationto Image Interpolation |
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| Liu Xiaoping, Peng Jiaxiong,Ding Mingyue.Application of Local Fractal Similarity Transformationto Image Interpolation[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,1996(2). |
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| Authors: | Liu Xiaoping Peng Jiaxiong Ding Mingyue |
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| Abstract: | An approach to image interpolation based on local fractal similarity transformation suitablefor complex images in natural scenes is described. Similarity transformation of rectangular image blocks are added and the extremem method in the function with two variables is used to obtain the optical similarity transformation. Experimental results show that the method proposed can overcomethe block effect caused by the linear or spline interpolation method, and the error is less than that inlinear, spline and random midpoint interpolation. |
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| Keywords: | fractal fractal similarity transformation image interpolationl optimal similarity transformation rectangular block transformation |
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