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Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics pp 523–530Cite as

Image Quality Assessment with Structural Similarity Using Wavelet Families at Various Decompositions

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Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 43))

Abstract

Wavelet transform is one of the most active areas of research in the image processing. This paper gives analysis of a very well known objective image quality metric, so called Structural similarity, MSE and PSNR which measures visual quality between two images. This paper presents the joint scheme of wavelet transform with structural similarity for evaluating the quality of image automatically. In the first part of algorithm, each distorted as well as original image are decomposed into three levels and in second part, these coefficient are used to calculate the structural similarity index, MSE and PSNR. The predictive performance of image quality based on the wavelet families like db5, haar (db1), coif1 with one, two and three level of decomposition is figured out. The algorithm performance includes the correlation measurement like Pearson, Kendall, and Spearman correlation between the objective evaluations with subjective one.

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Authors and Affiliations

  1. National Institute of Technology, Silchar, India

    Jayesh Deorao Ruikar, A. K. Sinha & Saurabh Chaudhury

Authors
  1. Jayesh Deorao Ruikar
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  2. A. K. Sinha
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  3. Saurabh Chaudhury
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Corresponding author

Correspondence to Jayesh Deorao Ruikar .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Liverpool Hope University, Liverpool, United Kingdom

    Atulya Nagar

  2. Dept. of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela, Odisha, India

    Durga Prasad Mohapatra

  3. Computer Science & Engineering, University of Calcutta, Kolkata, West Bengal, India

    Nabendu Chaki

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Ruikar, J.D., Sinha, A.K., Chaudhury, S. (2016). Image Quality Assessment with Structural Similarity Using Wavelet Families at Various Decompositions. In: Nagar, A., Mohapatra, D., Chaki, N. (eds) Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics. Smart Innovation, Systems and Technologies, vol 43. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2538-6_54

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  • DOI: https://doi.org/10.1007/978-81-322-2538-6_54

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2537-9

  • Online ISBN: 978-81-322-2538-6

  • eBook Packages: EngineeringEngineering (R0)

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