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/).
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 -