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An Effective Fast Algorithm of BCS-SPL Decoding Mechanism for Smart Imaging Devices
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 Title & Authors
An Effective Fast Algorithm of BCS-SPL Decoding Mechanism for Smart Imaging Devices
Ryu, Jung-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. A block compressed sensing with projected Landweber (BCS-SPL) framework is most widely known, but, it has high computational complexity at decoder side. In this paper, by introducing adaptive exit criteria instead of fixed exit criteria to SPL framework, an effective fast algorithm is designed in such a way that it can utilize efficiently the sparsity property in DCT coefficients during the iterative thresholding process. Experimental results show that the proposed algorithm results in the significant reduction of the decoding time, while providing better visual qualities than conventional algorithm.
 Keywords
Compressed Sensing;BCS-SPL;Fast BCS-SPL;Iterative Thresholding;Sparsity;DCT;
 Language
Korean
 Cited by
1.
복원 블록 크기 변화에 따른 BCS-SPL기법의 이미지 복원 성능 비교,류중선;김진수;

한국산업정보학회논문지, 2016. vol.21. 3, pp.21-28 crossref(new window)
2.
구조화된 측정 행렬에 따른 블록 기반 압축 센싱 기법의 성능 비교,류중선;김진수;

한국정보통신학회논문지, 2016. vol.20. 8, pp.1452-1459 crossref(new window)
1.
Performance Comparison of Structured Measurement Matrix for Block-based Compressive Sensing Schemes, Journal of the Korea Institute of Information and Communication Engineering, 2016, 20, 8, 1452  crossref(new windwow)
2.
Performance Comparison of BCS-SPL Techniques Against a Variety of Restoring Block Sizes, Journal of the Korea Industrial Information Systems Research, 2016, 21, 3, 21  crossref(new windwow)
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