Estimation of Image Quality in Visual Aided Navigation System
M. P. Mukhina, Svitlana I. Ilnytska, Dmytro O. Shevchuk · 2020
The problem of image interpolation and restoring has been considered in terms of image quality estimation by peak signal-to-noise ratio and structural similarity index measure. For investigation the datasets of texture images have been used from open resources. Polynomial based interpolation methods have been compared with probabilistic method known as Gaussian Process Regression. The recommendation of what method to be used from the point of view of the quality, computing time and stability have been given.