It is a new research direction to realize infrared (IR) image reconstruction using compressed sensing
(CS) theory. In the field of CS, the construction of measurement matrix is very principal. At present, the types of
measurement matrices are mainly random and deterministic. The random measurement matrix can well satisfy
the property of measurement matrix, but needs a large amount of storage space and has an inconvenient in
hardware implementation. Therefore, a deterministic measurement matrix construction method is proposed for
IR image reconstruction in this paper. Firstly, a series of points are collected on Archimedes spiral to construct
a definite sequence; then the initial measurement matrix is constructed; finally, the deterministic measurement
matrix is obtained according to the required sampling rate. Simulation results show that the IR image could
be reconstructed by the measured values obtained through the proposed measurement matrix. Moreover, the
proposed measurement matrix has better reconstruction performance compared with the Gaussian and Bernoulli
random measurement matrices.
JIANG Yilin* (蒋伊琳), WANG Haiyan (王海艳), SHAO Ran (邵然), ZHANG Jianfeng (张建峰)
. Infrared Image Reconstruction Based on Archimedes Spiral Measurement Matrix[J]. Journal of Shanghai Jiaotong University(Science), 2019
, 24(2)
: 204
-208
.
DOI: 10.1007/s12204-018-2011-0
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