Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer

A Mix Block Compressive Sensing Algorithm for Image Processing

Authors
Ruipeng Luan
Corresponding Author
Ruipeng Luan
Available Online June 2016.
DOI
10.2991/mmebc-16.2016.426How to use a DOI?
Keywords
Mix Block; Compressive Sensing; Reconstruction; Image Processing
Abstract

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.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
978-94-6252-210-7
ISSN
2352-5401
DOI
10.2991/mmebc-16.2016.426How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ruipeng Luan
PY  - 2016/06
DA  - 2016/06
TI  - A Mix Block Compressive Sensing Algorithm for Image Processing
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 2133
EP  - 2136
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.426
DO  - 10.2991/mmebc-16.2016.426
ID  - Luan2016/06
ER  -