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http://dx.doi.org/10.9723/jksiis.2016.21.3.021

Performance Comparison of BCS-SPL Techniques Against a Variety of Restoring Block Sizes  

Ryu, Joong-seon (한밭대학교 멀티미디어공학과)
Kim, Jin-soo (한밭대학교 정보통신공학과)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.21, no.3, 2016 , pp. 21-28 More about this Journal
Abstract
Compressed sensing is a signal processing technique for efficiently acquiring and reconstructing in an under-sampled (i.e., under Nyquist rate) representation. Specially, a block compressed sensing with Smoothed Projected Landweber (BCS-SPL) framework is one of the most widely used schemes. Currently, a variety of BCS-SPL schemes have been actively studied. However, when restoring, block sizes have effects on the reconstructed visual qualities, and in this paper, both a basic scheme of BCS-SPL and several modified schemes of BCS-SPL with structured measurement matrix are analyzed for the effects of the block sizes on the performances of reconstructed image qualities. Through several experiments, it is shown that a basic scheme of BCS-SPL provides superior performance in block size 4.
Keywords
Compressed Sensing; BCS-SPL; Structural Measurement Matrix; Block Size;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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