A MODIFIED WIENER FILTER FOR MULTI-FRAME RESTORATION OF BLURRED AND NOISY IMAGES
Said E. El‐Khamy, El-Sayed Mostafa Saad, Mohiy Mohammed Hadhoud, Moawad Ibrahim Dessouky, Alaa M. Abbas, Fathi E. Abd El‐Samie · International Journal of Information Acquisition · 2005
This paper proposes the use of a modified Wiener digital restoration technique for multi-frame image sequences that are degraded by both blur and noise. The proposed multi-channel Wiener restoration filter accounts for both intra-frame (spatial) and inter-frame (temporal) correlation. A modified cross-correlation formula between consecutive frames, which directly utilizes the motion vectors in the calculation of correlation among frames is derived and implemented in a multi-frame Wiener filter. Our modification estimates the motion vectors (horizontal and vertical) between consecutive frames using the three-step method, and then uses the estimated motion vectors to modify the cross-correlation terms in the formula for restoration. The performed simulations verified that the multi-frame restoration algorithm, that uses the motion information among different frames in restoration, gives improved results than both of the single frame independent restoration and the multi-channel restoration without considering the motion vectors.