Multichannel Regularized Iterative Restoration of Motion Compensated Image Sequences

Restoration of image sequences is an important problem that can be encountered in many im age processing applications such as visual communications robot guidance and target tracking The independent restoration of each frame in an image sequence is a suboptimal approach be cause the between frame correlations are not explicitly taken into consideration In this paper we address this problem by proposing a multichannel restoration approach The multiple time frames channels of the image sequence are restored simultaneously by using a multichannel regularized least squares formulation of the problem The regularization operator captures both within and between frame channel properties of the image sequence with the explicit use of the displacement vector eld We propose a number of di erent approaches to obtain the multichannel regulariza tion operator as well as an algorithm to iteratively compute the restored images We present experiments that demonstrate the value of the proposed multichannel approach