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基于FDCT的图像消噪算法
引用本文:杨华莉,王瑶.基于FDCT的图像消噪算法[J].西南民族学院学报(自然科学版),2007,33(4):897-900.
作者姓名:杨华莉  王瑶
作者单位:西南交通大学峨眉校区计算机系,西南交通大学峨眉校区计算机系 四川峨眉山,614202,四川峨眉山,614202
摘    要:由于曲波(Curvelet)变换可以很好的逼近含线奇异的高维函数,近年来日益受到研究人员的普遍关注.传统的数字曲波变换是非正交的、冗余度较高,而本文采用的快速曲波变换(Fast Discrete Curvelet Trans form,FDCT)对物体边缘信息具有最优稀疏表示.通过实验表明,基于FDCT的图像消噪算法可以很好的保持图像边缘,使消噪后的图像获得较好的视觉效果,同时峰值信噪比(PSNR)也得到很大提高.

关 键 词:图像消噪  快速离散曲波变换  峰值信噪比
文章编号:1003-2843(2007)04-0897-04
收稿时间:2007-03-19
修稿时间:2007年3月19日

Image denoising algorithm based on fast discrete curvelet transform
YANG Hua-li,WANG Yao.Image denoising algorithm based on fast discrete curvelet transform[J].Journal of Southwest Nationalities College(Natural Science Edition),2007,33(4):897-900.
Authors:YANG Hua-li  WANG Yao
Abstract:Curvelet transform has received more and more attention in recent years because it can better represent anisotropy of objects with discontinuities along edges, but the original digital curvelet transform is redundant. The Fast Discrete Curvelet Transform which has the optimally sparse representation of objects with edges is applied in this paper. Experiments show that the image denoising algorithm based on FDCT not only keeps the edge of image but also obtain better visual quality and yields denoised images with higer PSNR.
Keywords:image denoising  fast discrete curvelet transform  power signal-to-noise ratio
本文献已被 CNKI 维普 等数据库收录!
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