Face Image Illumination Normalization Using Integral Images

This implementation provides face image illumination normalization based on integral image computation. The program effectively standardizes lighting conditions across facial images to achieve more uniform brightness distribution. The package includes comparative result displays that visually demonstrate the transformation effects. Users can observe clear improvements through before-and-after comparison charts. The program operates through efficient integral image calculations that enable rapid processing of illumination adjustments. Implementation involves computing cumulative pixel sums for efficient local brightness analysis and applying normalization filters. The straightforward interface requires users to simply input target facial images, after which the system automatically generates both normalized images and comparison diagrams. This tool serves as a valuable resource for users engaged in facial image processing applications, particularly in preprocessing stages for computer vision and biometric systems. The algorithm employs integral image techniques to compute local statistics efficiently, enabling real-time processing suitable for practical applications.