Sharp Coefficient Estimates for Analytic Functions Subordinate to the Cusp Domain: Theory and Image Processing Applications

This article proposes a new type of analytic function called Mtan and introduces a new geometric structure that blends exponential and trigonometric properties. In addition, it obtains exact bounds for all second- and third-order Hankel determinants and establishes extremal results for the Fekete–Szegö and Zalcman functionals. Moreover, it discusses the validity of the Krushkal inequality. Furthermore, it applies the developed methodology to improve the contrast and quality of color images and demonstrates that the proposed enhancement filters yield notable improvements in contrast and quality compared to other filters, based on the PSNR, SSIM, MSE, RMSE, PCC, and MAE metrics. This article demonstrates its dual nature, namely advances in geometric function theory and practical advantages in digital image processing.

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Publication Details

Journal
Mathematics
Published
2026-03-22
DOI
https://doi.org/10.3390/math14061075
Primary Topic
Analytic and geometric function theory
Type
article
Field-Weighted Citation Impact
0.00
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article

Sharp Coefficient Estimates for Analytic Functions Subordinate to the Cusp Domain: Theory and Image Processing Applications

Alina Alb Lupas, Basem Aref Frasin, Mohammad El-Ityan, Adel Salim Tayyah et al.
Mathematics
Analytic and geometric function theory
article

Sharp Coefficient Estimates for Analytic Functions Subordinate to the Cusp Domain: Theory and Image Processing Applications

Alina Alb Lupas, Basem Aref Frasin, Mohammad El-Ityan, Adel Salim Tayyah, Mohammed Hamzah Alsalihi
article en

Abstract

This article proposes a new type of analytic function called Mtan and introduces a new geometric structure that blends exponential and trigonometric properties. In addition, it obtains exact bounds for all second- and third-order Hankel determinants and establishes extremal results for the Fekete–Szegö and Zalcman functionals. Moreover, it discusses the validity of the Krushkal inequality. Furthermore, it applies the developed methodology to improve the contrast and quality of color images and demonstrates that the proposed enhancement filters yield notable improvements in contrast and quality compared to other filters, based on the PSNR, SSIM, MSE, RMSE, PCC, and MAE metrics. This article demonstrates its dual nature, namely advances in geometric function theory and practical advantages in digital image processing.

MathematicsVol. 14(6)
University of Oradea (RO), Budapest University of Technology and Economics (HU), Al al-Bayt University (JO), Al-Balqa Applied University (JO), University of Al-Qadisiyah (IQ), Bournemouth University (GB)
Openalex Percentile: Top 10%
Analytic and geometric function theory
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