燕山大学学报2017，Vol.41Issue(6)：516-520,527,6.DOI:10.3969/j.issn.1007-791X.2017.06.006
基于近似消息传递的小波域图像压缩感知
Image compressive sensing in wavelet field based on approximate message passing
摘要
Abstract
Since existing image compressive sensing algorithms based on approximate message passing ( AMP ) measure the image as a whole,very large measurement matrix would be stored and transmitted. When the coefficient matrix is measured column by column,dependencies among columns would be ignored. Facing these problems, the image compressive sensing algorithm in the wavelet field based on AMP was studied in this paper.A new measurement scheme in the wavelet field based on the dependencies among both columns and rows was proposed.Further,a new scheme was designed to reconstruct wavelet coefficients based on AMP, which does not need the sparsity in advance.Thus,wavelet coefficients of the image are reconstructed based on the spatial correlation and AMP.Simulations results show that,this scheme can achieve higher image reconstruction quality and shorter run time,compared to existing reconstruction schemes in the wavelet field.关键词
压缩感知/图像重构/近似消息传递/小波变换Key words
compressive sensing/image reconstruction/approximate message passing/wavelet transform分类
信息技术与安全科学引用本文复制引用
程银波,司菁菁..基于近似消息传递的小波域图像压缩感知[J].燕山大学学报,2017,41(6):516-520,527,6.基金项目
国家自然科学基金资助项目(61701429) （61701429）
秦皇岛市科学技术研究与发展计划项目(201602A031) （201602A031）
