Gegenbauer Polynomial Convolution for Bi-Univalent Functions with Applications to Image Enhancement
This paper introduces a new subclass of bi-univalent functions defined via Gegenbauer polynomial convolution to derive coefficient bounds and Fekete-Szegö inequalities, which are then utilized to develop a GCEA algorithm that effectively enhances digital images by improving edge detection, preserving structural features, and increasing contrast.