International Journal of Scientific & Technology Research

Home About Us Scope Editorial Board Blog/Latest News Contact Us
10th percentile
Powered by  Scopus
Scopus coverage:
Nov 2018 to May 2020


IJSTR >> Volume 2- Issue 11, November 2013 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Survey On Multi-Frame Image Super-Resolution

[Full Text]



Niyanta Panchal, Bhailal Limbasiya, Ankit Prajapati



Index Terms: Multi-frame Image Super-resolution, Super-Resolution, Image Registration, Image Quality, PSNR



Abstract: Multi-frame Image Super-Resolution is to generate the high-resolution (HR) image from multiplelow-resolution images perspectives of a same scene and also increase spatial resolution by fusing information. In that first, Image registration which is most important part of multi-frame Super-resolution, they have give accurate alignment using the registration parameter. In this paper, we are going to review the different image registration methods and compare all the methods. Then next using various Super resolution methods which is generate high-resolution(HR) image from one or more low resolution images and lastly different image quality metrics reviewed as measure the original image and reconstructed image.



[1] Nan Zhao; Cuihua Li; Hua Shi; Chen Lin, "Multi-Frame Image Super-Resolution Based on Regularization Scheme," Control, Automation and Systems Engineering (CASE), 2011 International Conference on , vol., no., pp.1,4, 30-31 July 2011

[2] Sasatani, S.; Xian-Hua Han; Yen-wei Chen, "Image registration using PCA and gradient method for super-resolution imaging," Software Engineering and Data Mining (SEDM), 2010 2nd International Conference on , vol., no., pp.631,634, 23-25 June 2010

[3] Lan Zhang; Hua Zhang; Simiao Zhang; YanbingXue, "Multi-frame image super-resolution reconstruction based on GPOF registration and L1-norm," Natural Computation (ICNC), 2010 Sixth International Conference on , vol.7, no., pp.3601,3604, 10-12 Aug. 2010

[4] S. Farsiu, M. D. Robinson, M. Elad, and P. Milanfar, “Fast and robust Multi-frame super resolution”, IEEE Trans. Image Process., vol. 13, no.10, pp. 1327-1344, 2004.

[5] Vishal R. Jaiswal, Suhas H. Patil, Girish P. Potdar, ShrishailT.Patil,” Multi-frame Image Super-Resolution-A Comparison”,(IJCSE) International Journal On Computer Science and Engineering, Vol. 02, No. 09, 2010, ISSN 0975-3397

[6] Xuelong Li, Yanting Hu, Xinbo Gao, et.al, “A multi-frame image super-resolution method”. IEEE Transactions on Signal Processing 90, pp.405-414, 2010.

[7] Z. Wang, A. C. Bovik, H. R. Sheikh and E. P. Simoncelli, “Image quality assessment: From error visibility to structural similarity”, IEEE Trans. Image Process., vol. 13, no. 4, pp. 600-612, 2004.

[8] Yusra A. Y. Al-Najjar, Dr. Der Chen Soong,“ Comparison of Image Quality Assessment: PSNR, HVS, SSIM, UIQI ”, International Journal of Scientific & Engineering Research, Volume 3, Issue 8, August-2012 1 ISSN 2229-5518

[9] Turgay Celik, Kai-Kuang Ma, “Fast Object-based Image Registration Using Principal Component Analysis for Super-resolution Imaging”, 5th International Conference on Visual Information Engineering, pp.705-710, 2008.

[10] Simon Baker, Takeo Kanade, ”Super-resolution optical flow”, Technical Report CMU-RI-TR99-36, Carnegie Mellon University,1999