Unconstrained Iris Image Super Resolution in Transform Domain

  • Anand DeshpandeEmail author
  • Prashant P. Patavardhan
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 4)


In this paper, a method for super resolution of unconstrained or long-range captured iris images in discrete cosine transform domain is proposed. This method combines iterated back projection approach with the Papoulis-Gerchberg (PG) method to super resolute the iris images in discrete cosine transform domain. The method is tested on CASIA long-range iris database by comparing and analyzing the structural similarity index matrix, peak signal-to-noise ratio, visual information fidelity in pixel domain, and execution time of bicubic, Demirel, and Nazzal state-of-the-art algorithms. The result analysis shows that the proposed method is well suited for super resolution of unconstrained iris images in transform domain.


Super resolution Papoulis-Gerchberg Iris images SSIM PSNR VIFp 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Electronics and Communication EngineeringAngadi Institute of Technology and ManagementBelagaviIndia
  2. 2.Department of Electronics and Communication EngineeringGogte Institute of TechnologyBelagaviIndia

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