MATLAB Code Implementation for Image Enhancement

In this documentation, I will discuss an image enhancement program developed using MATLAB, specifically designed to address issues of overexposure and underexposure in images. This program is exceptionally user-friendly and well-suited for beginners. By leveraging this tool, users can effortlessly improve the quality of overexposed or underexposed images, resulting in clearer and brighter outputs. The implementation involves basic image processing techniques such as histogram equalization or gamma correction to adjust pixel intensity values. The program operates through a simple three-step workflow: First, import the target image into the MATLAB environment using functions like imread(). Second, select an appropriate enhancement method from available options—such as brightness adjustment using arithmetic operations, contrast stretching through normalization, or color saturation modification via HSV conversion. Finally, execute the enhancement by calling the processing function (e.g., imadjust() or custom gamma mapping), which automatically generates an enhanced image file exportable via imwrite(). This practical tool is valuable for both educational purposes in image processing and personal photo refinement, enabling efficient quality improvement with minimal coding effort.