MULTICHANNEL REGULARIZED ITERATIVE RESTORATION OF MOTION-COMPENSATED IMAGE SEQUENCES

Restoration of image sequences is an important problem that can be enc ountered in many image processing applications, such as visual communi cations, robot guidance, and target tracking, The independent restorat ion of each frame in an image sequence is a suboptimal approach becaus e the between-frame correlations are not explicitly taken into conside ration, In this paper we address this problem by proposing a multichan nel restoration approach. The multiple time-frames (channels) of the i mage sequence are restored simultaneously by using a multichannel regu larized least-squares formulation of the problem. The regularization o perator captures both within- and between-frame (channel) properties o f the image sequence with the explicit use of the displacement vector held, We propose a number of different approaches to obtain the multic hannel regularization operator, as well as an algorithm to iteratively compute the restored images, We present experiments that demonstrate the value of the proposed multichannel approach. (C) 1996 Academic Pre ss, Inc.