Adaptive Sampling Rate Assignment for Block Compressed Sensing of Images Using Wavelet Transform

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dc.contributor.authorXin, L.en_US
dc.contributor.authorJunguo, Z.en_US
dc.contributor.authorChen, Chenen_US
dc.contributor.authorFantao, L.en_US
dc.contributor.utdAuthorChen, Chen
dc.date.accessioned2018-02-14T23:24:20Z
dc.date.available2018-02-14T23:24:20Z
dc.date.created2015-06-06en_US
dc.date.issued2018-02-14
dc.description.abstractCompressed sensing theory breaks through the limit that two times the bandwidth of the signal sampling rate in Nyquist theorem, providing a guideline for new methods for image acquisition and compression. For still images, block compressed sensing (BCS) has been designed to reduce the size of sensing matrix and the complexity of sampling and reconstruction. However, BCS algorithm assigns the same sampling rate for all image blocks without considering the structures of the blocks. In this paper, we present an adaptive sampling rate assignment method for BCS of images using wavelet transform. Wavelet coefficients of an image can reflect the structure information. Therefore, adaptive sampling rates are calculated and assigned to image blocks based on their wavelet coefficients. Several standard test images are employed to evaluate the performance of the proposed algorithm. Experimental results demonstrate that the proposed algorithm provides superior performance on both the reconstructed image quality and the visual effect.en_US
dc.description.sponsorship"This work was funded by Beijing Higher Education Young Elite Teacher Project (Grant No.YETP0760), Fundamental Research Funds for the Central Universities (Grant No.TD2013-3) and Import Project under China State Forestry Administration (Grant No.2014-4-05).en_US
dc.identifier.bibliographicCitationXin, L., Z. Junguo, C. Chen, and L. Fantao. 2015. "Adaptive sampling rate assignment for block compressed sensing of images using wavelet transform." Open Cybernetics and Systemics Journal 9: 683-689.en_US
dc.identifier.issn1874-110Xen_US
dc.identifier.urihttp://hdl.handle.net/10735.1/5639
dc.identifier.volume9en_US
dc.language.isoenen_US
dc.publisherBentham Science Publishers B.V.en_US
dc.rightsCC BY-NC 4.0 (Attribution-NonCommercial)en_US
dc.rights©2015 The Authors. All Rights Reserved.en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/en_US
dc.source.journalOpen Cybernetics and Systemics Journalen_US
dc.subjectAdaptive sampling (Statistics)en_US
dc.subjectCompressed sensing (Telecommunication)en_US
dc.subjectDigital imagesen_US
dc.subjectWavelets (Mathematics)en_US
dc.titleAdaptive Sampling Rate Assignment for Block Compressed Sensing of Images Using Wavelet Transformen_US
dc.type.genrearticleen_US

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