Blind deconvolution by using phase spectral constraints and natural gradient

Abstract

A new natural gradient-based algorithm for a blind deconvolution of blurred images is proposed. In the proposed algorithm, phase spectral constraint condition is newly introduced, and a natural gradient descent method on an amplitude spectrum is applied. The effectiveness of the proposed algorithm is confirmed by comparing with the conventional method. © 2005, The Institute of Electronics, Information and Communication Engineers. All rights reserved.