基于压缩感知的数字档案信息存储优化策略研究

Research on Optimization Strategy of Digital Archives Information Storage Based on Compressed Sensing

在档案信息实现数字化存储的过程中会产生大量图形、图像文件,数字化管理系统需要消耗大量资源对此类文件进行有效的管理。针对此问题,文章在对图像处理技术中的压缩感知理论进行深入研究与分析的基础上,在数字档案信息的成像、重构以及压缩存储优化策略中探讨了压缩感知理论的应用思路,提出了图像分块、重构图像的逆向观测、二阶锥优化高维线框压缩等优化策略。

In the process of archival information＇s digitalized storage,a large amount of graphics and image files will be generated.The digitalized management system needs to consume a lot of resources to manage effectively such files.To solve this problem,based on the in-depth study and analysis of image processing technology in the compressed sensing theory,discusses the application of optimization strategies in the ideas of the theory of compressed sensing imaging,digital archives information reconstruction and compression,the image block reconstruction,image reverse observation and two order cone optimization dimension line frame compression optimization strategy.