Comparative Analysis of Edge Based Single Image Superresolution

International Journal of Computer Trends and Technology (IJCTT)          
© 2014 by IJCTT Journal
Volume-10 Number-5
Year of Publication : 2014
Authors : Sonali Shejwal , Prof. A. M. Deshpande
DOI :  10.14445/22312803/IJCTT-V10P146


Sonali Shejwal , Prof. A. M. Deshpande. "Comparative Analysis of Edge Based Single Image Superresolution". International Journal of Computer Trends and Technology (IJCTT) V10(5):257-261 Apr 2014. ISSN:2231-2803. Published by Seventh Sense Research Group.

Abstract -
Super-resolution image reconstruction provides an effective way to increase image resolution from a single or multiple low resolution images. There exists various single image super-resolution based on different assumptions, amongst which edge adaptive algorithms are particularly used to improve the accuracy of the interpolation characterizing the edge features in a larger region. A recent algorithm for image iterative curvature based interpolation (ICBI) performs iterative procedure of the interpolated pixels obtained by the 2nd order directional derivative of the image intensity. ICBI in comparison with bicubic interpolation and the other interpolation algorithm such as improved new edge directed interpolation (INEDI) provides notably higher values in terms of qualitative and quantitative analysis. Comparative analysis of these algorithms performed on number of test images on the basis of PSNR and RMSE metrics show effectiveness of edge based techniques.

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Interpolation, Iterative curvature based interpolation (ICBI), improved new edge directed interpolation (INEDI), Peak Signal to Noise Ratio (PSNR), Root Mean Square Error (RMSE), Super-resolution (SR).