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邻域扩散选择平滑图像放大算法
引用本文:许微,侯正信.邻域扩散选择平滑图像放大算法[J].光电子.激光,2007,18(6):750-752.
作者姓名:许微  侯正信
作者单位:天津大学电子信息工程学院,天津,300072
摘    要:提出了一种新型的各向异性扩散图像放大的邻域扩散选择平滑法(ADASS),将邻域扩散法与选择平滑滤波器相结合,降低了算法的复杂度,并提高了图像的放大质量.该算法在平滑噪声的同时可以有效地增强边缘,使得放大后的图像无论在边缘处还是平滑区域均能达到理想的效果.实验结果的主观质量及峰值信噪比(PSNR)值表明了算法的有效性.

关 键 词:图像放大  各向异性扩散  邻域扩散  选择平滑滤波器
文章编号:1005-0086(2007)06-0750-03
收稿时间:2005/12/30 0:00:00
修稿时间:2005-12-302006-12-11

Adjacent Diffusion and Selective Smoothing Algorithm for Image Enlargement
XU Wei,HOU Zheng-xin.Adjacent Diffusion and Selective Smoothing Algorithm for Image Enlargement[J].Journal of Optoelectronics·laser,2007,18(6):750-752.
Authors:XU Wei  HOU Zheng-xin
Affiliation:School of Electronic and Information Engineering,Tianjin University,Tianjin 300072,China
Abstract:Based on the combination of the adjacent diffusion method and the selective smoothing filter,a new anisotropic diffusion algorithm for image enlargement is proposed,which is called as the adjacent diffusion and selective smoothing algorithm(ADASS).Compared with other methods,ADASS is less complex,and moreover,with its characteristic of reducing noise and enhancing edges simultaneously,the higher quality of an enlarged image can be obtained both on edges and in smooth area.The experimental results and PSNR value verify the validity of the proposed algorithm.
Keywords:image enlargement  anisotropic diffusion  adjacent diffusion  selective smoothing filter
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