[1]黄涛[][],薛丰昌[],钱洪亮[],等. 基于 NSCT 和自适应模糊阈值遥感图像去噪算法[J].计算机技术与发展,2016,26(01):65-69.
　HUANG Tao[][],XUE Feng-chang[],QIAN Hong-liang[],et al. Remote Sensing Image Denoising Algorithm Based on NSCT and Adaptive Fuzzy Threshold[J].,2016,26(01):65-69.
点击复制

 基于 NSCT 和自适应模糊阈值遥感图像去噪算法()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年01期
页码:
65-69
栏目:
智能、算法、系统工程
出版日期:
2016-01-10

文章信息/Info

Title:
 Remote Sensing Image Denoising Algorithm Based on NSCT and Adaptive Fuzzy Threshold
文章编号:
1673-629X（2016)01-0065-05
作者:
 黄涛[1][2]； 薛丰昌[3] ; 钱洪亮[3];  周明[1]
 1.上海市嘉定区气象局；2. 南京信息工程大学 计算机与软件学院；3.南京信息工程大学 遥感学院,
Author(s):
 HUANG Tao[1][2];  XUE Feng-chang[3] ; QIAN Hong-liang[3] ; ZHOU Ming[1]
关键词:
 ; 非下采样Contourlet变换; 模糊阈值; 遥感图像; 去噪算法
Keywords:
 ; NSCT; fuzzy threshold; remote sensing images; denoising algorithm
分类号:
TP301.6
文献标志码:
A
摘要:
 针对遥感图像去噪过程中硬阈值去噪的伪吉布斯(Gibbs)现象带来的视觉失真、软阈值去噪对图像细节造成的“过扼杀”现象以及峰值信噪比(PSNR)较低等问题,提出一种基于非下采样 Contourlet 变换(Non-Subsampled Contourlet Transform,NSCT)和自适应模糊阈值的遥感图像去噪算法。该算法通过对含噪图像进行 NSCT 变换,从而得到不同尺度与方向上的 NSCT 域系数,然后结合噪声的分布特点,基于贝叶斯萎缩法,对 BayesShrink 阈值进行了改进,并结合模糊理论,构造模糊阈值函数,实现对变化域内的系数进行处理,最后将处理后的系数进行 NSCT 反变换,以得到去噪后的图像。实验结果表明,该方法不仅很好地克服了硬阈值去噪的伪吉布斯现象带来的视觉失真、软阈值去噪对图像细节造成的“过扼杀”现象,而且能有效地提高峰值信噪比,保持遥感图像丰富的纹理信息。
Abstract:
 In order to overcome the visual distortion caused by Gibbs phenomenon of hard thresholding,the " over strangle" phenomenon caused by processing image detail of soft thresholding,the lower PSNR and other issues in the process of image denoising,an algorithm of denoising for remote sensing images based on NSCT and adaptive fuzzy threshold was proposed. First,transform the noisy image by NSCT to get the NSCT domain coefficients of different scales and different directions. Then improve the BayesShrink threshold with the characteristics of the noise distribution based on Bayesian shrinkage method,constructing a fuzzy threshold function with fuzzy theory to process the coefficients within the changing domain. Last,inversely transform the processed coefficients by NSCT to get the denoised ima-ges. Experimental results show that the proposed algorithm can not only overcome the visual distortion caused by Gibbs phenomenon of hard thresholding,the " over strangle" phenomenon caused by processing image detail of soft thresholding well,but also improve PSNR effectively,keeping the rich texture information of remote sensing images.

相似文献/References:

[1]欧书琴 李新华 孔颉 陈军.基于非下采样Contourlet变换的彩色图像拼接算法[J].计算机技术与发展,2010,(11):37.
　OU Shu-qin,LI Xin-hua,KONG Jie,et al.Color Image Mosaicing Algorithm Based on Nonsubsampled Contourlet Transform[J].,2010,(01):37.
[2]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
　ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(01):1.
[3]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
　LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(01):5.
[4]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
　HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(01):13.
[5]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
　HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(01):21.
[6]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
　LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(01):25.
[7]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
　WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(01):29.
[8]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
　LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(01):34.
[9]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
　SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(01):38.
[10]叶偲,李良福,肖樟树. 一种去除运动目标重影的图像镶嵌方法研究[J].计算机技术与发展,2014,24(07):43.
　YE Si,LI Liang-fu,XIAO Zhang-shu. Research of an Image Mosaic Method for Removing Ghost of Moving Targets[J].,2014,24(01):43.

更新日期/Last Update: 2016-04-12