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Improved Single Image Super-resolution Based on Compact Dictionary Formation and Neighbor Embedding Reconstruction

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Data Science

Part of the book series: Transactions on Computer Systems and Networks ((TCSN))

Abstract

Single image super-resolution is one of the evolving areas in the field of image restoration. It involves reconstruction of a high-resolution image from available low-resolution image. Although lot of researches are available in this field, still there are many issues related to existing problems those are still unresolved. Here, this research work focuses on two aspects of image super-resolution. The first aspect is that the process of dictionary formation is improved by using lesser number of images while preserving maximum structural variations. The second aspect is that pixel value estimation of high-resolution image is improved by considering only those overlapping patches which are more relevant from the characteristics of image point of view. For this, all overlapping pixels corresponding to a particular location are classified whether they are part of smooth region or an edge. Simulation results clearly prove the efficacy of the algorithm proposed in this paper.

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Authors and Affiliations

  1. National Institute of Technology Kurukshetra, Kurukshetra, India

    Garima Pandey & Umesh Ghanekar

Authors
  1. Garima Pandey
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  2. Umesh Ghanekar
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Corresponding author

Correspondence to Garima Pandey .

Editor information

Editors and Affiliations

  1. Department of Computer Engineering, National Institute of Technology Kurukshetra, Kurukshetra, India

    Gyanendra K. Verma

  2. Department of Computer Science and Engineering, National Institute of Technology Silchar, Silchar, India

    Badal Soni

  3. Multidimensional Signal Processing Group, Ecole Centrale Marseille, MARSEILLE, France

    Salah Bourennane

  4. Mathematics and Computing Institute, Universidade Federal de Itajuba, Itajuba, Brazil

    Alexandre C. B. Ramos

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Pandey, G., Ghanekar, U. (2021). Improved Single Image Super-resolution Based on Compact Dictionary Formation and Neighbor Embedding Reconstruction. In: Verma, G.K., Soni, B., Bourennane, S., Ramos, A.C.B. (eds) Data Science. Transactions on Computer Systems and Networks. Springer, Singapore. https://doi.org/10.1007/978-981-16-1681-5_7

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  • DOI: https://doi.org/10.1007/978-981-16-1681-5_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-1680-8

  • Online ISBN: 978-981-16-1681-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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