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Single-Valued Neutrosophic Set With Quaternion Information: A Promising Approach To Assess Image Quality

Author

Listed:
  • JIA-BAO LIU

    (School of Mathematics and Physics, Anhui Jianzhu University, Hefei 230601, P. R. China)

  • NADEEM SALAMAT

    (Institute of Mathematics, Khwaja Fareed University of Engineering & Information Technology, Rahim Yar Khan 64200, Punjab, Pakistan)

  • MUHAMMAD KAMRAN

    (Institute of Mathematics, Khwaja Fareed University of Engineering & Information Technology, Rahim Yar Khan 64200, Punjab, Pakistan)

  • SHAHZAIB ASHRAF

    (Institute of Mathematics, Khwaja Fareed University of Engineering & Information Technology, Rahim Yar Khan 64200, Punjab, Pakistan)

  • RIAZ HUSSAIN KHAN

    (Institute of Mathematics, Khwaja Fareed University of Engineering & Information Technology, Rahim Yar Khan 64200, Punjab, Pakistan)

Abstract

Diminished estimate techniques for image quality assessment examine the overall quality using only partially retrieved features from the reference image. The main goal of these methods is to make objective evaluation flexible enough to accommodate the influence of any new visual distortion. The research provides a rapid approach for quality assessment of color photographs based on this concept by altering the structural similarity index measure (SSIM) index in a neutrosophic environment. The SSIM family is a set of parameters that have demonstrated a promising approach in the analysis of reference picture tasks. The current study deals with the exploitation of the concept to use Single-Valued Neutrosophic Sets (SVNSs) for evaluating image quality. Neutrosophic divergence was being constructed for an image and its comparison with other SSIM is presented. Resultantly, a correlation was observed between the proposed divergence and SSIM, which gave accurate informatics. Additionally, the results were presented on a real line which reflects clear information on image convergence and divergence. The uncertainty in the allocation of membership is called the hesitation degree, fuzzy sets have gained a lot of traction in numerous domains of signal and image processing. Based on generalized exponential fuzzy entropy, a trustworthy Image Quality Assessment is proposed.

Suggested Citation

  • Jia-Bao Liu & Nadeem Salamat & Muhammad Kamran & Shahzaib Ashraf & Riaz Hussain Khan, 2023. "Single-Valued Neutrosophic Set With Quaternion Information: A Promising Approach To Assess Image Quality," FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 31(06), pages 1-10.
    • Handle: RePEc:wsi:fracta:v:31:y:2023:i:06:n:s0218348x23400741
    DOI: 10.1142/S0218348X23400741
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