Quantitative measure for mosaics with dynamic elements using dense optical flow and the structure similarity index measure.

Abstract

Image mosaicking is a combination of multiple algorithms that use a series of images or a video to obtain as a result a single image with a larger field of view. However, in some cases the input data contains dynamic elements that change their position from a frame to another and this results in the appearance of errors like ghosting and parallax effects. In this paper, we will present a method to obtain a quantitative measure for mosaics with dynamic elements and how to determine the areas that create these errors. In fact, this was done by using dense optical flow to estimate the motion of all pixels and by comparing the Structure Similarity Index Measure of these areas obtained between the result mosaic and the input images. The obtained quantitative measures show better results and reflect better the obtained visual results.