NDLI: Research on image processing with compressed sensing algorithm: Base on the improved layered discrete cosine transform

Content Provider	IEEE Xplore Digital Library
Author	Baoju Zhang Xiaohui Yin Wei Wang Qing Lei
Copyright Year	2012
Description	Author affiliation: Dept. College of Physics & Electronic Information, Tianjin Normal University, Tianjin, China (Baoju Zhang; Xiaohui Yin; Wei Wang; Qing Lei)
Abstract	A compressed sensing algorithm based on improved layered discrete cosine transform (DCT) was proposed, which only measured the high-pass coefficients of the other layers but preserving the top layer coefficients. For the reconstruction, high-pass coefficients could be recovered by the measurements. Then the image could be reconstructed by the inverse DCT transform. Simulation results demonstrated that the proposed algorithm improved the quality of the recovered image significantly. For the same compression ratio, the peak signal to noise ratio of the proposed algorithm is improved about 2∼4 dB.
Starting Page	6357
Ending Page	6361
File Size	147646
Page Count	5
File Format	PDF
ISBN	9781457720529
ISSN	15503607
e-ISBN	9781457720536
e-ISBN	9781457720512
DOI	10.1109/ICC.2012.6364661
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-10
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Compressed sensing Discrete cosine transforms Image coding Signal processing algorithms Image reconstruction Matching pursuit algorithms image coding compressed sensing improved layered-DCT image processing
Content Type	Text
Resource Type	Article

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