Enforcing Temporal Consistency for Color Constancy in Video Sequences

This paper focuses on enhancing temporal color constancy in video sequences, ensuring that the result not only achieves color accuracy frame-by-frame but is also consistent over time. Our approach consists of a three-step process: per-frame illuminant estimation and correction, video stabilization to ensure temporal consistency, and consensus-based illuminant correction. By employing consensus-driven illuminant estimation over the result of temporal stabilization, we effectively mitigate spatial artifacts and concurrently enhance the overall stability of the sequence. Our method is tested using the Gray Ball and BCC datasets, showing the potential of integrating temporal stabilization with color correction processes to enhance the visual continuity of video content. While our primary objective is to reduce temporal flickering, a significant side effect of our approach is the improvement of color constancy accuracy across frames.