[1] M. Elad and A. Feuer, Dec 1997, “Restoration of single super-resolution image from several blurred, noisy and down-sampled measured images”, IEEE Trans. Image Processing, vol. 6, pp. 1646–1658.
[2] S. Borman and R. L. Stevenson, Apr. 1998, “Super-resolution from image sequences—A review,” in Proc. Midwest Symp, Circuits and Systems, vol. 5, Notre Dame, IN.
[3] N. Nguyen, P. Milanfar, and G. H. Golub, Apr. 2001, “A computationally efficient image super resolution algorithm,” IEEE Trans. Image Processing, vol. 10, pp. 573–583.
[4] Y. Altunbasak, A. Patti, and R. Mersereau, Apr. 2002 “Super-resolution still and video reconstruction from mpeg-coded video,” IEEE Trans. Circuits Syst. Video Technol., vol. 12, no. 4, pp. 217–226.
[5] S Farsiu, M D Robinson, M Elad, P Milanfar, 2004, “Fast and robust multi frame super resolution”, IEEE Trans. Image Process.13 (10), 1327–1344.
[6] Qiang He1, Richard R. Schultz2 and Itta Bena, 2010, “Super-Resolution Reconstruction by Image Fusion and Application to Surveillance Videos Captured by Small Unmanned Aircraft Systems”, Department of Mathematics, Computer and Information Sciences Mississippi Valley State University, , Department of Electrical Engineering University of North Dakota, Grand Forks, ND 58202-7165.
[7] Nagaraj, B., and P. Vijayakumar. “Soft Computing Based PID Controller Tuning and Application to the Pulp and Paper Industry.” Sensors & Transducers 133.10 (2011): 30.
[8] Rajendran, Arunkumar, Nagaraj Balakrishnan, and Mithya Varatharaj. “Malleable Fuzzy Local Median C Means Algorithm for Effective Biomedical Image Segmentation.” Sensing and Imaging 17.1 (2016): 24.
[9] A Buades, B Coll, J-M Morel, 2011, “Non-local means denoising. Image Processing” Online.1.http://dl.acm.org/citation.cfm?id=1069066
[10] M Protter, M Elad, H Takeda, P Milanfar, 2011, “Generalizing the non local-means to super-resolution reconstruction” .IEEE Trans.ImageProcess.18 (1), 36–51.
[11] Sina Farsiua, Dirk Robinsona, Michael Eladb, Peyman Milanfara, 2012 “Robust Shift and Add Approach to Super-Resolution”. Department of Electrical Engineering, University of California, Santa Cruz CA. 95064 USA. Department of Computer Science (SCCM), Stanford University, Stanford CA. 94305-9025 USA
[12] C-H Chu, 2013, “Super-resolution image reconstruction for mobile devices”. Multimedia Syst.19 (4), 315–337.[13] T Yoshida, T Murakami, MIkehara, 2013, ”Image super-resolution method based on non-local means and self similarity” in Intelligent Signal Processing and Communications Systems (ISPACS),2013 International SymposiumOn.,(2013),pp.509-512.doi:10.1109/ISPACS. 2013.6704604
[14] R Timofte, V DeSmet, L VanGool, I Reid , HSaito , M-HYang , 2015, “A+:Adjusted anchored neighborhood regression for fast super-resolution” in Computer Vision- ACCV2014:12th Asian Conference on Computer Vision, pp.111–126.
[15] Vaishali Patel1, Prof. Kinjal Mistree2, December 2013, “A Review on Different Image Interpolation Techniques for Image Enhancement”, www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 3, Issue 12
[16] Dianyuan Han, 2013, “Comparison of Commonly Used Image Interpolation Methods”, Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013).
[17] Angelos Amanatiadis and Ioannis Andreadis, 2009, “A survey on evaluation methods for image interpolation”, measurement science and technology, Meas. Sci. Technol. 20, 104015 (9pp).
[18] Jiahui Pan, December 6, 2003, “Image Interpolation using Spline Curves”, MEC572 term paper.
Vinitha S, Deepa PVinitha S, Deepa P
Government College of Technology,
Coimbatore, India
Indiavinithasurendran3@gmail.com, deepap05@gmail.com