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基于有限Ridgelet变换的图像去噪
引用本文:唐永茂,施鹏飞.基于有限Ridgelet变换的图像去噪[J].计算机应用与软件,2006,23(1):82-84.
作者姓名:唐永茂  施鹏飞
作者单位:上海交通大学图像处理与模式识别研究所,上海,200030
摘    要:Ridgelet变换是一种新的图像多尺度几何分析(MGA)方法,它能有效地对图像进行多尺度,多方向的描述。M.N.Do提出一种可逆的,正交化的,极好重建性的Ridgelet变换实现一有限Ridgelet变换(FRIT)。本文将有限Ridgelet变换应用到线状边界明显的图像去噪中,实验结果表明,它比小波去噪取得更好的效果。

关 键 词:Ridgelet变换  Wavelet变换  Radon变换  图像去噪
收稿时间:06 15 2004 12:00AM
修稿时间:2004-06-15

IMAGE DENOISING BASED ON FINITE RIDGELET TRANSFORM
Tang Yongmao,Shi Pengfei.IMAGE DENOISING BASED ON FINITE RIDGELET TRANSFORM[J].Computer Applications and Software,2006,23(1):82-84.
Authors:Tang Yongmao  Shi Pengfei
Abstract:Ridgelet transform is one novel method of image multiscal geometric analysis,which can suitable for describing the image in multiscal and multi-directional.M.N.Do proposed a invertible,orthogonal and achieves perfect reconstruction Ridgelet transform implement - Finite Ridgelet Transform(FRIT).In this paper,we apply FRIT to image with obvious line boundary denoising.Experiments show that it is more effective than the normal Wavlet transform.
Keywords:Ridgelet transform Wavelet transform Radon transform Image denoising
本文献已被 CNKI 维普 万方数据 等数据库收录!
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