Development of blind image deconvolution and its applications

Abstract

This paper is a supplement and update to the reviews by Kundur and Hatzinakos [7,8] on blind image deconvolution. Most of the methods reviewed in [7,8] require that the PSF and the original image must be irreducible. However, this irreducibility assumption is not true in some important types of applications, such as when the PSF is Gaussian, which is a good model for many imaging systems. After a brief summary of existing blind deconvolution methods, we report the recent development in this field with an emphasis on Gaussian blind deconvolution and its clinical applications.