NDLI: Neural modeling of polynomial image interpolation

Content Provider	IEEE Xplore Digital Library
Author	Awad, M. El Khamy, S.E. Abd Elnaby, M.M.
Copyright Year	2009
Description	Author affiliation: Department of Electrical Engineering, Faculty of Engineering, Alexandria University, Egypt (El Khamy, S.E.) \|\| Department of Electronics and Electrical Communications, Faculty of Engineering, Tanta University, Egypt (Awad, M.; Abd Elnaby, M.M.)
Abstract	In this paper, a neural implementation is suggested for polynomial based image interpolation techniques such as bilinear, bicubic and cubic Spline techniques. The performance of the suggested neural image interpolation algorithm is compared to those of traditional polynomial based image interpolation techniques and to warped distance image interpolation techniques. In this implementation, the modeling of the polynomial interpolation algorithm is performed with a fixed number of neurons contrary to the traditional interpolation techniques, which depend on the order of the interpolation basis function. The proposed approach is efficient from the mean square error (MSE) point of view and the computation complexity point of view by reducing the number of computations required. Simulation results show that the suggested implementation has approximately the same peak signal-to-noise ratio (PSNR) as the traditional techniques with a less computational burden due to the fixed size of the neural networks implemented.
Starting Page	469
Ending Page	474
File Size	757649
Page Count	6
File Format	PDF
ISBN	9781424458424
DOI	10.1109/ICCES.2009.5383218
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-14
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interpolation PSNR Image resolution Computational modeling Neural networks Neurons Mean square error methods Polynomials Polynomial Image Spline Pixel Neural
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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