计算机应用与软件2017，Vol.34Issue(4)：213-220,8.DOI:10.3969/j.issn.1000-386x.2017.04.036
基于Kent混沌测量矩阵的压缩感知图像重构算法
COMPRESSED SENSING IMAGE RECONSTRUCTION ALGORITHM BASED ON KENT CHAOTIC MEASUREMENT MATRIX
摘要
Abstract
Image reconstruction is the key technique of image digitisation and restoration of high-quality image signal.The significance of using compressed sensing theory to reconstruct the image is to reduce the sampling times and decrease the consumption of system resources.The structure of measurement matrix is one of the important research contents of compressed sensing.This paper presents a compressed sensing image reconstruction algorithm based on Kent chaotic measurement matrix.We use Kent chaotic sequence as the measurement matrix and adopt sparse method for discrete wavelet transform to measure the original image signal in wavelet domain.Finally, we use the orthogonal matching pursuit method to recover the original image.In simulation experiments, Gaussian random measurement matrix and Logistic chaotic measurement matrix are compared in the reconstruction of different images.Experimental results show that the reconstruction algorithm based on Kent chaotic measurement matrix can reconstruct the original image, its reconstruction performance is superior to Gaussian random measurement matrix and Logistic chaotic measurement matrix, and the defects which random measurement matrix hardware cannot realize are overcome.关键词
混沌矩阵/压缩感知/图像重构/Kent矩阵Key words
Chaotic matrix/Compressed sensing/Image reconstruction/Kent matrix分类
信息技术与安全科学引用本文复制引用
孙宪坤,陈涛,韩华,王裕明..基于Kent混沌测量矩阵的压缩感知图像重构算法[J].计算机应用与软件,2017,34(4):213-220,8.基金项目
国家自然科学基金项目(61305014) （61305014）
上海市教育委员会重点创新项目(14ZZ156). （14ZZ156）
