期刊首页 优先出版 当期阅读 过刊浏览 作者中心 关于期刊 English

《中国工程科学》 >> 2008年 第10卷 第11期

复小波的亚像元图像重建及去噪方法

1. 中国航天科技集团公司第五研究院第508研究所,北京100076;

2. 南京理工大学计算机科学与技术系,南京210094;南京理工大学计算机科学与技术系,南京210094

资助项目 :香港特区政府研究资助局项目(CHUK/4180/01E);江苏省教育厅自然科学基金资助项目(04KJD520037) 收稿日期: 2007-12-29 发布日期: 2008-11-13 09:23:21.000

下一篇 上一篇

摘要

通过对亚像元理论的分析,对两帧错半个像元的遥感图像进行复小波插值,引入基于层间的小波自适应阈值方法去除噪声,并通过重构得到更高分辨率的遥感图像,同时,算法对遥感图像的复原效果好于常用的方法。

图片

图1

图2

图3

图4

图5

图6

图7

图8

图9

图10

参考文献

[ 1 ] Vandewalle P, Susstrunk S, Verrerli M.A Frequency Domain Ap- proach to Registration of Alias Images with Application to Super - resolution[ M] .EURASIP Journal on Applied Signal Processing, 2006.1 -14

[ 2 ] Farsiu S, Robinson D M, Elad M, et al.Fast and robust multi- frame super -resolution[ J] .IEEE Transactions on Image Process- ing, 2004 ,13 ( 10 ) :1327 -1344 链接1

[ 3 ] Elad M, Feuer A.Restoration of a single superresolution image form several blurred, noisy and undersampled measured images [ J] .IEEE Transactions on Image Processing, 1997 , 6 ( 12 ) :1646 – 1658 链接1

[ 4 ] Liu Xinping, Wang Hu, Wen Desheng.Optical local plane assem- bly of linear CCD array for subpixel imaging camera [ J ] .Acta Photonica Sinica, 2002 ,31 ( 6 ) :781 -784 链接1

[ 5 ] Castleman K R.Digital Image Processing [ M] .Prentice -Hall In- ternational, Inc,1998.117 -119

[ 6 ] Mallet S.A theory for multiresolution in signal decomposition: The wavelet representation [ J ] .IEEE Trans on Pattern Analysis and Machine Intelligence, 1989 , 11 ( 7 ) : 674 -683

[ 7 ] Kingsbury N G.Image processing with complex wavelets[ R] .Phil Trans Royal Society.London A, 1999

[ 8 ] Kingsbury N G.Complex wavelets for shift invariant analysis and filtering of signals [ J] .Applied Computational and Harmonic A- nalysis, 2000 ,10 ( 3 ) : 234 -253 链接1

[ 9 ] Sendur L, Selesnick I W.Subband adaptive image denoising via bivariate shrinkage[ A] .IEEE ICIP[ C] .2002 , 3 :577 -580 链接1

[10] Daubechies I C.Ten lectures on wavelet [ M ] .SIAM, New York, 1992

[11] Sendur L, Selesnick I W.Bivariate shrinkage function for wave- let based denoising [ J] .IEEE Trans Signal Processing, 2002 , 50 :2744 -2756

[12] Chang S G, Yu B, Vetterli M.Spatially adaptive wavelet thresh- olding with context modeling for image denoising [ J ] .IEEE Trans Image Processing,2000 ,19 :1522 -1531 链接1

[13] Donoho D L, Johnstone I M.Adapting to unknown smoothness via wavelet shrinkage [ J ] .Journal of the American Statistical Association, 1995 , 90 ( 432 ) :1200 -1224 链接1

相关研究