SINGLE-VALUED NEUTROSOPHIC SET WITH QUATERNION INFORMATION: A PROMISING APPROACH TO ASSESS IMAGE QUALITY

Jia-Bao Liu (), Nadeem Salamat, Muhammad Kamran (), Shahzaib Ashraf () and Riaz Hussain Khan ()
Additional contact information
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

FRACTALS (fractals), 2023, vol. 31, issue 06, 1-10

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.

Keywords: Image Quality Evaluation; Structural Similarity; Fuzzy Entropy (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0218348X23400741
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:fracta:v:31:y:2023:i:06:n:s0218348x23400741

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0218348X23400741

Access Statistics for this article

FRACTALS (fractals) is currently edited by Tara Taylor

More articles in FRACTALS (fractals) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().