MATLAB Code Implementation for Illumination Compensation

In this documentation, I present a MATLAB program code implementation for illumination compensation along with corresponding sample images. Illumination compensation is a fundamental image processing technique used to address uneven lighting conditions in digital images. This MATLAB implementation provides a practical approach to enhance image quality by normalizing light distribution across the image plane. The core algorithm typically involves estimating the illumination field using techniques such as Gaussian filtering or homomorphic filtering, followed by compensation through division or subtraction operations. Key MATLAB functions employed may include imread for image input, imfilter for spatial filtering, and various image arithmetic operations for compensation calculations. The program code includes comprehensive comments detailing each processing stage: image preprocessing, illumination estimation model, compensation calculation, and result visualization. Implementation considerations cover parameter optimization for different lighting conditions and image types. Sample images demonstrate the transformation from original unevenly-lit images to compensated results with improved visual consistency. The comparison showcases how the algorithm effectively reduces shadows, highlights, and other illumination artifacts while preserving image details. Please proceed with the documentation to access the complete code implementation, detailed usage instructions, parameter configuration guidelines, and additional technical insights into the compensation methodology.