NDLI: On using complex homotopy for impulse noise cancellation in images

Content Provider	IEEE Xplore Digital Library
Author	Vaidik, D.P. Chandra, M.G. Adiga, B.S. Thaskani, S.
Copyright Year	2014
Description	Author affiliation: Innovation Labs., TATA Consultancy Services, Bangalore, India (Chandra, M.G.; Adiga, B.S.; Thaskani, S.) \|\| Dept. of Electr. Eng., Indian Inst. of Technol. Madras, Chennai, India (Vaidik, D.P.)
Abstract	The area of Compressive Sensing (CS) has been witnessing a flurry of research activity, bringing out solid theoretical results and its usefulness in different applications. With the need to address practicalities, fast reconstruction algorithms are being proposed quite recently. Towards studying their effectiveness in different applications, we have chosen one attractive candidate, the complex homotopy, for CS-based impulse-noise cancellation in images. Compared to popular Compressive Sampling Matching Pursuit (CoSaMP), complex homotopy demonstrated its superiority both in terms of speed of execution and reconstructed image quality. The paper, apart from presenting the supporting results, identifies some useful product codes for the selected application. An attempt is also made towards providing pointers for further examination.
Starting Page	1
Ending Page	5
File Size	606745
Page Count	5
File Format	PDF
ISBN	9781479923618
DOI	10.1109/NCC.2014.6811315
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-02-28
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	PSNR Product codes Matching pursuit algorithms Homotopy Noise cancellation Vectors Compressive Sensing Impulse Noise Complex Product Code Image reconstruction Compressed sensing
Content Type	Text
Resource Type	Article

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