Modified Wiener filter for multi-frame restoration of blurred and noisy images

Abstract

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 multichannel 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 power, and cross power spectra of the frames is derived and implemented in a multi-frame Wiener filter. Our modification estimates the motion vectors (horizontal & vertical) between consecutive frames (using a three-step method) then uses it in the formula for restoration. The simulation performed verified that the multi-frame restoration algorithm that uses the information contained in other frames (cross-correlation and motion vectors) in restoration gives a better result than processing the frame independently for restoration.