全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

改进的两步迭代阈值的遥感图像恢复算法

DOI: 10.11834/jig.20100915

Keywords: 小波变换,Contourlet变换,两步迭代阈值算法,遥感图像恢复

Full-Text   Cite this paper   Add to My Lib

Abstract:

结合小波变换和Contourlet变换的多尺度、多分辨的共性及这两种变换分别适合处理点奇异和线奇异的特点,提出了一种新的联合使用小波正则项和Contourlet正则项的遥感图像恢复算法。算法中逆问题的求解等价于一个无约束凸规划的求解问题,目标函数由观测图像的拟合优度和正则项组成,传统的正则项是一个函数,本文使用两个正则项函数,能更好地利用图像的先验知识。然后根据Besov空间的半范数等价于小波系数的范数这一原理,提出了基于小波变换的联合使用小波正则项和Contourlet正则项的两步迭代阈值算法。对遥感图像的恢复结果表明,该算法在改善的信噪比(ISNR)和相关系数(CORR)等评价指标上都有显著的改善。

References

[1]  Bioucas-Dias JM.Figueiredo MAT.Oliveira JP Adaptive total variation image deconvolution:A majorization-minimization approach 2009
[2]  Bioucas-Dias JM,Figueiredo MAT,A new TwIST:two-step iterative shrinkage thresholding algorithms for image restoration,IEEE Transactions on Image Processing,2007(12).
[3]  Li Chen,Kim-hui Yap,A soft double regularization approach to parametric blind image deconvolution,IEEE Transactions on Image Processing,2005(5).
[4]  Dirk A.Lorenz,Wavelet shrinkage in signal and image processing-an investigation of relations and equivalences,Beremer Modell,Germany:University of Bremen,2004.
[5]  Po D D Y,Do M N,Directional multiscale modeling of images using the contourlet transform,IEEE Transactions on Image Processing,2006(6).
[6]  Chambolle A,Devore RA,Lee NY,Nonlinear wavelet image processing:variational problems,compression,and noise removal through wavelet shrinkage,IEEE Transactions on Image Processing,1998(3).
[7]  Cunha AL,Zhou J,Do MN,The nonsubsampled contourlet transform:theory,design,and applications,IEEE Transactions on Image Processing,2006(10).
[8]  Liu Weihua,He Mingyi,Shui Penglang,Residue-based fusion of denoised images by different filter banks,New York:IEEE Press,2009.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133