A Trigonometric Function-Based Algorithm for CT-Scan Image Color Enhancement

Abstract

The rapid advancement of medical technologies has led to a substantial increase in the acquisition and storage of medical images, particularly through techniques such as computed tomography (CT). This growth highlights the need for effective image processing algorithms that can support physicians in diagnosing and evaluating medical conditions more efficiently. Among these approaches, medical image colorization has attracted growing interest in recent years. Unlike traditional grayscale images, synthesized color images can provide enhanced visual information about organs and tissues, thereby improving image interpretation. In this study, a novel mathematical approach is proposed to enhance the quality of CT scan images using trigonometric functions governed by three main parameters, using MATLAB software. The experimental results demonstrate that improving color contrast contributes to a more accurate distinction between different tissues and organs, offering clearer visual representation and supporting analytical as well as diagnostic processes. The evaluation by radiology experts indicated a significant improvement in the quality of the enhanced images, supporting the quantitative assessment results and confirming the effectiveness of the proposed method.