2-D block Kalman filter with colored driving source for image restoration using adaptive image modeling

This paper presents a fast image restoration method using the 2-D block Kalman filter with colored driving source. The remarkable feature of the proposed method is reduced computational complexity using the high correlation pixels of current region and reference region, while the conventional 2-D block Kalman filter methods performed image restoration without considering the relationship between the reference region and the current region. We have shown the effectiveness of the proposed method by numerical results and subjective evaluation results.