A Mix Block Compressive Sensing Algorithm for Image Processing

被引:0
作者
Luan, Ruipeng [1 ]
机构
[1] Chinese Peoples Liberat Army, Unit 91550, Dalian 116023, Peoples R China
来源
PROCEEDINGS OF THE 2016 6TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS, ENVIRONMENT, BIOTECHNOLOGY AND COMPUTER (MMEBC) | 2016年 / 88卷
关键词
Mix Block; Compressive Sensing; Reconstruction; Image Processing;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In order to solve the problem of high cost and high time consuming in the traditional algorithm of compressed sensing technology, a mix block compressive sensing algorithm for image processing is proposed in this paper. Image is divided into sub images by mixed block strategy in the process of scanning, and then the sub images obtain parallel independent compression sampling. The proposed algorithm improves the sampling efficiency greatly, and provides a scheme to real time processing for compressive sensing. The effectiveness of the proposed algorithm is illustrated by the experimental data.
引用
收藏
页码:2133 / 2136
页数:4
相关论文
共 8 条
[1]  
Candes E. J., 2006, ACAD SCI, V346, P598
[2]  
Davenport M. A, 2011, COMPRESSED SENSING T, P1
[3]  
Gan L, 2007, PROCEEDINGS OF THE 2007 15TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING, P403
[4]  
Miralles Francois, 2012, J ELECTRON IMAGING, V19, P1
[5]  
Mun S, 2009, IEEE IMAGE PROC, P3021, DOI 10.1109/ICIP.2009.5414429
[6]  
Romberg J, 2008, IEEE SIGNAL PROC MAG, V25, P14, DOI 10.1109/MSP.2007.914729
[7]  
Willett R M, 2014, P IEEE ICIP HONG KON, P4177
[8]   POISSON IMAGE RECONSTRUCTION WITH TOTAL VARIATION REGULARIZATION [J].
Willett, Rebecca M. ;
Harmany, Zachary T. ;
Marcia, Roummel F. .
2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, 2010, :4177-4180