Comparative Analysis of Edge Based Single Image Superresolution
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International Journal of Computer Trends and Technology (IJCTT) | 
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| © 2014 by IJCTT Journal | ||
| Volume-10 Number-5 |
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| 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. www.ijcttjournal.org. 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.
References
[1] R. Y. Tsai and T. S. Huang, “Multiframe image restoration and registration,” Adv. Comput. Vis. Image Process., vol. 1, pp. 317–339, 1984.
[2] J. Yang and T. S. Huang, “Image super-resolution: Historical overview and future challenges”.
[3] M. Irani and S. Peleg, “Motion analysis for image enhancement: Resolution, occlusion, and transparency,” J. Vis. Commun. Image Represent,vol. 4, no. 4, pp. 324–335, Dec. 1993
[4] J. Sun, N. N. Zheng, H. Tao, and H. Y. Shum Generic, “Image Hallucination with primal sketch prior,” In CVPR, 2003.
[5] D. Glasner, S. Bagon, and M. Irani, “Super-resolution from a single image,” In ICCV, 2009.
[6] Erik Meijering and Michael Unser, “A Note on Cubic Convolution Interpolation,” IEEE Transactions on image processing, vol.12, No. 4, April 2003.
[7] Andrea Giachetti and Nicola Asuni, “Real-Time Artifact-Free Image Upscaling,” IEEE Transactions on Image Processing, vol. 20, No. 10, October 2011
[8] Heng Su, Liang Tang, Ying Wu, “Spatially Adaptive Block-Based Super-Resolution,” IEEE Transactions on Image Processing, Vol. 21, No. 3, March 2012.
[9] X. Li and M. T. Orchard, “New edge-directed interpolation,” IEEE Trans. Image Process., vol. 10, no. 10, pp. 1521–1527, Oct. 2001.
[10] N. Asuni and A. Giachetti, “Accuracy improvements and artifacts removal in edge based image interpolation,” In Proc. 3rd Int. Conf. Comput. Vis. Theory Appl. (VISAPP), pp. 58–65, 2008
Keywords
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).