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Performance Comparison of BCS-SPL Techniques Against a Variety of Restoring Block Sizes
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 Title & Authors
Performance Comparison of BCS-SPL Techniques Against a Variety of Restoring Block Sizes
Ryu, Joong-seon; Kim, Jin-soo;
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 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;
 Language
Korean
 Cited by
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