Estimation of Linear Homogeneous Distorting Operator from Observed Image Spectrum
In the paper, we consider the problem of assessing the type and parameters of distortions from the observed image analysis (the “blind estimation” task). We explore the questions of diagnostics of the linear homogeneous distorting operators of three defocus types: circular form with rectangular profile, circular form with Gaussian profile, and motion blur ones. The so-called average radial profile and average directional profile of spectrum density are used for distortion identification. The diagnostics and parameters estimation algorithms for every considered distortion types are proposed and researched. The influence of noise and data accuracy to the reliability of the results is demonstrated.