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Quadratic trigonometric B-spline for image interpolation using GA

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  • Malik Zawwar Hussain
  • Samreen Abbas
  • Misbah Irshad

Abstract

In this article, a new quadratic trigonometric B-spline with control parameters is constructed to address the problems related to two dimensional digital image interpolation. The newly constructed spline is then used to design an image interpolation scheme together with one of the soft computing techniques named as Genetic Algorithm (GA). The idea of GA has been formed to optimize the control parameters in the description of newly constructed spline. The Feature SIMilarity (FSIM), Structure SIMilarity (SSIM) and Multi-Scale Structure SIMilarity (MS-SSIM) indices along with traditional Peak Signal-to-Noise Ratio (PSNR) are employed as image quality metrics to analyze and compare the outcomes of approach offered in this work, with three of the present digital image interpolation schemes. The upshots show that the proposed scheme is better choice to deal with the problems associated to image interpolation.

Suggested Citation

  • Malik Zawwar Hussain & Samreen Abbas & Misbah Irshad, 2017. "Quadratic trigonometric B-spline for image interpolation using GA," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-14, June.
    • Handle: RePEc:plo:pone00:0179721
    DOI: 10.1371/journal.pone.0179721
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    Cited by:

    1. Nur Atiqah Binti Zulkifli & Samsul Ariffin Abdul Karim & A’fza Binti Shafie & Muhammad Sarfraz & Abdul Ghaffar & Kottakkaran Sooppy Nisar, 2019. "Image Interpolation Using a Rational Bi-Cubic Ball," Mathematics, MDPI, vol. 7(11), pages 1-18, November.

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