TUBITAK Elektrik Journal of Electrical Engineering and Computer Sciences, vol. 5, no. 1, pp. 79-97, Fall 1997.

Multi-Channel Blind Image Restoration

Hung-ta Pai, Alan C. Bovik, and Brian L. Evans

Department of Electrical and Computer Engineering, Engineering Science Building, The University of Texas at Austin, Austin, TX 78712-1084 USA
bevans@ece.utexas.edu - bovik@ece.utexas.edu


Images may be degraded for many reasons. For example, out-of-focus optics produce blurred images, and variations in electronic imaging components introduce noise. Reducing blur and noise in images is known as image restoration. In this paper, we first highlight methods for image restoration and then discuss methods for image restoration given multiple degraded copies (multiple channels) of the same original image. We focus on the blind case in which the blurring functions are unknown. We review several recently proposed algorithms for multichannel blind image restoration and present a new technique based on subspace decomposition.

Last Updated 11/07/04.