An Anti-interfering Reconstruction Algorithm Based on Compressed Sensing
- DOI
- 10.2991/eeic-13.2013.104How to use a DOI?
- Keywords
- anti-interference; compressed sensing; image reconstruction; Gaussian random interference
- Abstract
When images compressed by traditional transformation-based compression algorithms are transmitted over wireless channels, if the gaussian random interference causes the loss of the crucial transformation coefficients, the contents of the reconstructed images will be lost obviously and this will reduce the accuracy of the subsequent detection and recognition results greatly. In order to solve this problem, this paper proposed an anti-interfering image reconstruction algorithm based on compressed sensing. This algorithm first confirmed the new compressed sensing signals and the new reconstruction matrix based on the locations of the compressed sensing signal components corresponding to the gaussian-interfered bit stream, and then reconstructed the original images employing the iterative threshold algorithm. The simulation results demonstrated that the new algorithm reconstructed exact images at low bit error rates, and reconstructed inexact images whose qualities were slightly lowered without loss of local contents at high bit error rates. As a result, our algorithm is able to overcome the deficiencies of compression algorithms based on diverse transformations and the iterative threshold algorithm, thus proposes a feasible solution scheme for the anti-interfering problem that arises in wireless image transmission.
- Copyright
- © 2013, 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 - Mei Du AU - Huaici Zhao AU - Chunyang Zhao AU - Bo Li PY - 2013/12 DA - 2013/12 TI - An Anti-interfering Reconstruction Algorithm Based on Compressed Sensing BT - Proceedings of the 3rd International Conference on Electric and Electronics PB - Atlantis Press SP - 441 EP - 445 SN - 1951-6851 UR - https://doi.org/10.2991/eeic-13.2013.104 DO - 10.2991/eeic-13.2013.104 ID - Du2013/12 ER -