Open Access
ARTICLE
Based on Compressed Sensing of Orthogonal Matching Pursuit Algorithm Image Recovery
Caifeng Cheng1,2, Deshu Lin3,*
1 School of Electronics and Information, Yangtze University, Jingzhou, 434023, China
2 College of Engineering and Technology, Yangtze University, Jingzhou, 434020, China
3 School of Computer Science, Yangtze University, Jingzhou, 434023, China
* Corresponding Author: Deshu Lin. Email:
Journal on Internet of Things 2020, 2(1), 37-45. https://doi.org/10.32604/jiot.2020.09116
Received 01 January 2020; Accepted 05 May 2020; Issue published 06 August 2020
Abstract
Compressive sensing theory mainly includes the sparsely of signal
processing, the structure of the measurement matrix and reconstruction
algorithm. Reconstruction algorithm is the core content of CS theory, that is,
through the low dimensional sparse signal recovers the original signal accurately.
This thesis based on the theory of CS to study further on seismic data
reconstruction algorithm. We select orthogonal matching pursuit algorithm as a
base reconstruction algorithm. Then do the specific research for the
implementation principle, the structure of the algorithm of AOMP and make the
signal simulation at the same time. In view of the OMP algorithm reconstruction
speed is slow and the problems need to be a given number of iterations, which
developed an improved scheme. We combine the optimized OMP algorithm of
constraint the optimal matching of item selection strategy, the backwards
gradient projection ideas of adaptive variance step gradient projection method
and the original algorithm to improve it. Simulation experiments show that
improved OMP algorithm is superior to traditional OMP algorithm of
improvement in the reconstruction time and effect under the same condition.
This paper introduces CS and most mature compressive sensing algorithm at
present orthogonal matching pursuit algorithm. Through the program design
realize basic orthogonal matching pursuit algorithms, and design realize basic
orthogonal matching pursuit algorithm of one-dimensional, two-dimensional
signal processing simulation.
Keywords
Cite This Article
C. Cheng and D. Lin, "Based on compressed sensing of orthogonal matching pursuit algorithm image recovery,"
Journal on Internet of Things, vol. 2, no.1, pp. 37–45, 2020.
Citations