吉首大学学报（自然科学版）2016，Vol.37Issue(5)：27-31,5.DOI:10.3969/j.cnki.jdxb.2016.05.007
基于DWT的图像分块压缩感知重构算法
An Improved Image Blocking Compressed Sensing Algorithm Based on DWT
摘要
Abstract
Reconstruction of full image of large size by applying compressed sensing theory requires a long period of time,the observation matrix of linear measurement requires large space,and there is obvious block effect in the reconstructed image.According to the characteristics of the wavelet transformation co-efficients of the image,the image block is combined with the DWT transformation,and an improved DWT based image compressed algorithm is proposed.After the DWT transformation,the low frequency coefficients of each image block are preserved,and only the high frequency coefficients are observed.The high frequency coefficients are recovered by the orthogonal matching pursuit algorithm (OMP).Matlab simulation experiment shows that,compared with the non-block compressed sensing algorithm,the al-gorithm proposed increases the PSNR value of the reconstructed image by 2~4 dB and decreases the re-constructing time significantly;and compared with the two-dimensional discrete cosine transformation (DCT)block compressed sensing algorithm,this algorithm decreases the block effect and improves re-construction quality significantly.关键词
压缩感知/图像分块/采样率/峰值信噪比Key words
compressed sensing/image blocking/sampling rate/peak signal to noise ratio分类
信息技术与安全科学引用本文复制引用
邓波,徐庆,崔金鸽,李必云..基于DWT的图像分块压缩感知重构算法[J].吉首大学学报（自然科学版）,2016,37(5):27-31,5.基金项目
湖南省教育厅科学研究项目（14C0920，14C0923）；吉首大学校级课题资助项目 （）
