MATLAB Code Implementation for Color Image Enhancement

This documentation presents how to implement color image enhancement using MATLAB programming. Color image enhancement serves as a vital technique for improving image quality and visual effects. Through MATLAB programming, we can efficiently process and refine images with built-in functions like imadjust for contrast enhancement, histeq for histogram equalization, and rgb2hsv/rgb2lab for color space conversions. Experimental results demonstrate that MATLAB-based implementation achieves remarkable enhancement effects by significantly boosting image brightness, contrast, and color saturation. Key algorithmic approaches include adaptive histogram equalization in HSV/LAB color spaces to preserve natural color balance while enhancing details. The method produces clearer, more vivid, and visually appealing images, making it an ideal solution for straightforward yet effective color image enhancement. Therefore, if you seek a simple and efficient approach to enhance color images, we highly recommend utilizing MATLAB programming with its comprehensive image processing toolbox functions.