Illumination Compensation for Color Images Using an Enhanced Reference Algorithm

This study presents an enhanced reference algorithm designed for illumination compensation in color images. The algorithm operates by analyzing the lighting distribution within the input image and performing adjustments based on a reference image to achieve effective illumination restoration. Key implementation aspects include calculating illumination maps through channel-wise intensity analysis and applying histogram matching techniques between the target and reference images. Through this approach, we effectively enhance the lighting conditions in color images, resulting in more realistic and clearer visual outputs. The experimental validation demonstrates robust performance across diverse scenarios, with metrics evaluating color consistency and perceptual quality. The algorithm incorporates adaptive weighting functions to handle varying lighting conditions and employs color space transformations to preserve chromatic information during compensation. We believe this enhanced reference algorithm provides an effective solution for color image illumination compensation, particularly useful in computer vision applications requiring consistent lighting conditions.