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应用科学学报 >

2011 , Vol. 29 >Issue 2: 169 - 175

DOI: https://doi.org/10.3969/j.issn.0255-8297.2011.02.010

信号与信息处理

基于二次模糊相关性的单通道置换图像盲分离

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  • 1. 上海大学通信与信息工程学院特种光纤与光接入网重点实验室，上海200072
    2. 上海大学新型显示技术与应用集成教育部重点实验室，上海200072
作者简介：王伟，博士生，研究方向：图像处理、盲信号分离，E-mail:wwang.shu@163.com；方勇，教授，博导，研究方向：盲信号处理、通信信号处理和智能信息系统，E-mail: yfang@staff.shu.edu.cn

收稿日期: 2010-04-20

  修回日期: 2010-11-04

  网络出版日期: 2011-03-23

基金资助

国家自然科学基金(No.60872114)；上海市重点学科基金(No.S30108)；上海市科委重点实验室基金(No.08DZ2231100)；上海大
学研究生创新基金(No.SHUCX101086)资助

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Blind Separation of Single Channel Permuted Image Based on Double Blur Correlation

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  • 1. School of Communication and Information Engineering, Key Laboratory of Specialty Fiber Optics and
    Optical Access Networks, Shanghai University, Shanghai 200072, China
    2. Key Laboratory of Advanced Display and System Applications, Ministry of Education,
    Shanghai University, Shanghai 200072, China

Received date: 2010-04-20

  Revised date: 2010-11-04

  Online published: 2011-03-23

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摘要

关键词：中图分类号：文章编号： 针对模糊处理后的置换图像，提出一种基于二次模糊相关性的单通道盲分离方法. 该方法通过对置换图像进行二次模糊，估计二次模糊前后对应子块的相关系数来构造一个映射空间，利用映射空间内参数的不同分类完成置换混合矩阵的估计，从而实现置换源图像子块的分离. 实验表明，该方法对经历不同模糊处理的置换图像均能达到较高的检测正确率，同时，算法对高斯噪声和有损JPEG压缩都具有较好的鲁棒性.

关键词： 置换图像; 盲源分离; 二次模糊相关性; 映射空间; 单通道

本文引用格式

王伟1， 方勇1;2 . 基于二次模糊相关性的单通道置换图像盲分离[J]. 应用科学学报, 2011 , 29(2) : 169 -175 . DOI: 10.3969/j.issn.0255-8297.2011.02.010

Abstract

This paper proposes a single-channel blind separation scheme using double blur correlation for blurring permuted images. The permuted image is blurred again and the correlation coefficients of image blocks are estimated before and after double blurring. Using the estimated correlation coefficients, a mapping space is constructed. The permutation mixing matrixes can be accurately estimated by classifying the parameters in
the mapping space, thus the source images can be separated. Simulation results show high detection accuracy for permuted images with various blurring operations. The proposed method has good robustness against Gaussian noise and lossy JPEG compression.

Key words：  permuted image; blind source separation; double blur correlation; mapping space; single-channel

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