Pseudogradient optimization of objective function in estimation of geometric interframe image deformations

Abstract

An optimization criterion is suggested for the plan of counts in a local sample used to determine the pseudogradient of the objective function of estimation quality. The use of the criterion is considered in the case when the object functions are defined as the interframe difference mean square, the covariance, and the interframe correlation coefficient. The optimization is directed at increasing the convergence rate of esti mates of the parameters of geometric interframe image deformations.

Accurate and Rapid Auto-Focus Methods Based on Image Quality Assessment for Telescope Observation

“…Currently, the most commonly used image intelligibility estimation functions (IEF) are mainly performed in the spatial and frequency domains. Spatial domain IEFs include the Tenengrad function [25], Brenner function [26], variance function, and Laplace function [27], while the frequency domain IEFs mainly include the wavelet function and statistical gray level entropy functions [28]. Compared to blurred images, clear images have more detailed information in the spatial domain, and the gray scale gradients of adjacent pixels are relatively large.…”