Optimal stopping condition for iterative image deconvolution by new orthogonality criterion

The stopping condition is a common problem for non-regularised deconvolution methods. Introduced is an automatic procedure for estimating the ideal stopping point based on a new measure of independence, checking an orthogonality criterion of the estimated signal and its gradient at a given iteration. An effective lower bound estimate than the conventional ad hoc methods is provided, proving its superiority to the others at a wide range of different noise models.