Design and Analysis of Fusion Algorithm for Multi-Frame Super-Resolution Image Reconstruction using Framelet

  • K. Joseph Abraham Sundar School of Computing, SASTRA University, Thanjavur
  • V. Vaithiyanathan School of Computing, SASTRA University, Thanjavur
  • G. Raja Singh Thangadurai Defence Research and Development Laboratory, Hyderabad
  • Naveen Namdeo Defence Research and Development Laboratory, Hyderabad
Keywords: Framelet, super resolution, image registration, tight frames

Abstract

A enhanced fusion algorithm for generating a super resolution image from a sequence of low-resolution images captured from identical scene apparently a video, based on framelet have been designed and analyzed. In this paper an improved analytical method of image registration is used which integrates nearest neighbor method and gradient method. Comparing to Discrete Wavelet Transform (DWT) the Framelet Transform (FrT) have tight frame filter bank that offers symmetry and permits shift in invariance. Therefore using framelet this paper also present a framelet based enhanced fusion for choosing the fused framelet co-efficient that provides detailed edges and good spatial information with adequate de-noising. The proposed algorithm also has high advantage and computationally fast which are most needed for satellite imaging, medical imaging diagnosis, military surveillance, remote sensing etc.

Defence Science Journal, Vol. 65, No. 4, July 2015, pp. 292-299, DOI: http://dx.doi.org/10.14429/dsj.65.8265

Published
2015-07-20
How to Cite
Abraham SundarK. J., VaithiyanathanV., ThangaduraiG. R. S., & NamdeoN. (2015). Design and Analysis of Fusion Algorithm for Multi-Frame Super-Resolution Image Reconstruction using Framelet. Defence Science Journal, 65(4), 292-299. https://doi.org/10.14429/dsj.65.8265
Section
Computers & Systems Studies

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