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Intelligent Computing and Applications pp 79–87Cite as

Sparse Denoising in Speckle Noise: A Comparative Study of Dictionaries

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 343))

Abstract

Sparse signal processing appears to be an emerging technology having certain application areas like denoising, deblurring, inpainting, etc. The dictionaries used in sparse signal processing are of much importance as they hold the basic patterns to retrieve the original image. A wide range of complete and overcomplete dictionaries are used for reconstruction of signals in the presence of noise. But no comparative study of these dictionaries is available in the literature till now for indexing their performance. Present work is devoted to carry out such a comparative study which would help in indexing the performance and effectiveness of the dictionaries in sparse signal reconstruction to reduce speckle noise. The results have been compared and analyzed with a set of standard test images.

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Authors and Affiliations

  1. Department of Information Technology, National Institute of Technology, Durgapur, 713209, West Bengal, India

    Suchismita Maiti, Amish Kumar & Debashis Nandi

Authors
  1. Suchismita Maiti
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  2. Amish Kumar
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  3. Debashis Nandi
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Corresponding author

Correspondence to Suchismita Maiti .

Editor information

Editors and Affiliations

  1. Electronics & Communication Engineering, NIT, Durgapur, Durgapur, West Bengal, India

    Durbadal Mandal

  2. Electronics & Communication Engineering, NIT, Durgapur, Durgapur, West Bengal, India

    Rajib Kar

  3. Machine Intelligence Unit, ISI, Kolkata, West Bengal, India

    Swagatam Das

  4. Electrical Engineering, IIT Delhi, New Delhi, India

    Bijaya Ketan Panigrahi

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Maiti, S., Kumar, A., Nandi, D. (2015). Sparse Denoising in Speckle Noise: A Comparative Study of Dictionaries. In: Mandal, D., Kar, R., Das, S., Panigrahi, B. (eds) Intelligent Computing and Applications. Advances in Intelligent Systems and Computing, vol 343. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2268-2_9

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  • DOI: https://doi.org/10.1007/978-81-322-2268-2_9

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2267-5

  • Online ISBN: 978-81-322-2268-2

  • eBook Packages: EngineeringEngineering (R0)

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