title: On eigenstructure-based direct multichannel blind image restoration.
abstract: Existing eigenstructure-based direct multichannel blind image restoration techniques include nullspace-based and direct deconvolver estimation techniques. The nullspace-based approach can be formulated as an optimization problem. We show that this formulation implies a new subspace-based approach that uses matrix operations. This new approach has the same advantages as the nullspace-based one but requires less computational complexity. Under some mild conditions, its complexity is equal to that of the FFT. Furthermore, the relation among the nullspace-based approach, the direct deconvolver estimation and the new subspace-based approach is studied.
authors.affiliation: Dept. of Electr. and Comput. Eng., Texas Univ., Austin, TX 78712-1084, USA. pai@vision.ece.utexas.edu
authors.forename: H T
authors.initials: HT
authors.lastname: Pai
authors.forename: A C
authors.initials: AC
authors.lastname: Bovik