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Image super resolution and Enhancement using E-splines

Research Abstract
E-splines (Exponential spline) polynomials represent the best smooth transition between continuous and discrete domains. As they are constructed from convolution of exponential segments, there are many degrees of freedom to optimally choose the most convenient E-spline, suitable for a specific application. In this paper, the parameters of these E-splines were optimally chosen, to enhance the performance of image zooming and interpolation schemes. The proposed technique is based on minimizing the total variation function of the detail coefficients of the E-spline based wavelet decomposition. In zooming applications, the quality of interpolated images are further improved and sharpened by applying ICA technique to them, in order to remove any dependency. Illustrative examples are given to verify image enhancement of the proposed E-spline scheme, when compared with the existing approaches.
Research Authors
G. Fahmy
Research Department
Research Journal
Journal of Communications and Computers
Research Pages
1497-1501
Research Publisher
David Publishing
Research Rank
1
Research Vol
10 (2013)
Research Website
http://www.davidpublishing.com/journals/J4/cc2011/tongxun2011/496.html
Research Year
2013