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Single-Image Super-Resolution Using Rational Fractal Interpolation and Adaptive Wiener Filtering

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Proceedings of First International Conference on Computational Electronics for Wireless Communications

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 329))

Abstract

In this paper, we have propounded a neoteric procedure for the super-resolution of an image using a single image. An image of low resolution is given as input which is upscaled to an image while preserving the information that is stored in textural and structural details of an image. The image provided as input which is of low resolution is segregated into two sections, namely textured and non-textured according to the features of the image. Rational fractal interpolation is employed in the section of the image considered as textured and rational interpolation is employed in the remaining image which is considered to be non-textured. Thereafter, pixel mapping is performed. The result obtained from interpolation is found to contain Gaussian noise. To subdue the effect of this noise, an adaptive Wiener filter is applied. Finally, an image of high resolution is obtained. Profound simulations and assessments demonstrate that competitive performance is achieved by our algorithm. The mean square error reduces approximately up to \(5\%\), whereas the structural similarity index improves marginally.

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Authors and Affiliations

  1. Department of Electronics and Communication, National Institute of Technology, Kurukshetra, Kurukshetra, Haryana, 136119, India

    Ruchika Dhawan & Umesh Ghanekar

Authors
  1. Ruchika Dhawan
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  2. Umesh Ghanekar
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Corresponding author

Correspondence to Ruchika Dhawan .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Manipal University Jaipur, Jaipur, Rajasthan, India

    Sanyog Rawat

  2. Department of Electronics and Communication Engineering, National Institute of Technology Kurukshetra, Kurukshetra, Haryana, India

    Arvind Kumar

  3. Department of Electronics and Communication Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India

    Pramod Kumar

  4. Telecommunication Engineering, Ramon Llull University, Barcelona, Spain

    Jaume Anguera

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Dhawan, R., Ghanekar, U. (2022). Single-Image Super-Resolution Using Rational Fractal Interpolation and Adaptive Wiener Filtering. In: Rawat, S., Kumar, A., Kumar, P., Anguera, J. (eds) Proceedings of First International Conference on Computational Electronics for Wireless Communications. Lecture Notes in Networks and Systems, vol 329. Springer, Singapore. https://doi.org/10.1007/978-981-16-6246-1_40

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  • DOI: https://doi.org/10.1007/978-981-16-6246-1_40

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-6245-4

  • Online ISBN: 978-981-16-6246-1

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