| 基于压缩感知的图片压缩与加密GUI系统 |
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| 引用本文： | 吕军,陈烁,李秀梅.基于压缩感知的图片压缩与加密GUI系统[J].计算机系统应用,2017,26(1):96-100. |
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| 作者姓名： | 吕军 陈烁 李秀梅 |
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| 作者单位： | 杭州师范大学 信息科学与工程学院, 杭州 311121,杭州师范大学 信息科学与工程学院, 杭州 311121,杭州师范大学 信息科学与工程学院, 杭州 311121 |
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| 基金项目： | 国家自然科学基金(61571174)；浙江省自然科学基金(LY15F010010) |
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| 摘 要： | 利用Matlab平台设计了基于压缩感知的图片压缩和加密GUI系统,主要解决海量图片的存储空间利用率低和图片数据安全问题.本系统采用小波变换基将图片系数稀疏化,将使用高斯随机矩阵进行压缩测量后得到的数据存储在服务器中,以减少存储空间,提高服务器空间利用率；同时将测量矩阵作为密钥进行加密,增加了图片信息的安全性,在需要访问时使用密钥矩阵和重构算法重构出原始图片.该GUI系统能够直观反映基于压缩感知的图片压缩与加密系统的工作过程.并且通过MCC将代码独立化为可执行exe文件,以便于直接对图片进行压缩、加密、存取和重构.
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| 关 键 词： | 压缩感知 高斯随机矩阵 正交匹配追踪算法 图片加密 |
| 收稿时间： | 2016/4/23 0:00:00 |
| 修稿时间： | 2016/5/30 0:00:00 |
Compressive Sensing Based Image Compression and Encryption GUI System |
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| LV Jun,CHEN Shuo and LI Xiu-Mei.Compressive Sensing Based Image Compression and Encryption GUI System[J].Computer Systems& Applications,2017,26(1):96-100. |
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| Authors: | LV Jun CHEN Shuo and LI Xiu-Mei |
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| Affiliation: | School of Information Science and Engineering, Hangzhou Normal University, Hangzhou 311121, China,School of Information Science and Engineering, Hangzhou Normal University, Hangzhou 311121, China and School of Information Science and Engineering, Hangzhou Normal University, Hangzhou 311121, China |
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| Abstract: | In this paper, we design an image compression and encryption GUI system based on compressive sensing with Matlab platform, to improve the image storage space utilization and to increase the security of the image data.The system adopts the wavelet transform to decompose the data of images into sparse coefficients, uses Gaussian random matrix to sample the coefficients and stores in the server, to improve server space utilization;meanwhile the system takes the measurement matrix as a key to encryption, increasing security of the image information.The key matrix and reconstruction algorithm are used to reconstruct the original image when needed.The GUI can help to illustrate the process of the image compression and encryption system based on compressive sensing.Additionally, we compile the code into independent executable file, in order to run directly on the image compression, encryption, access and reconstruction. |
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| Keywords: | compressive sensing Gaussian random matrix orthogonal matching pursuit algorithm (OMP) image encryption |
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