@article{cc51f911-28e2-4688-9403-ef3ff6036fb5,
author = {Krzysztof Misztal, Przemysław Spurek, Jacek Tabor},
title = {Image Stitching Based on Entropy Minimization},
journal = {Schedae Informaticae},
volume = {2018},
number = {Volume 27},
year = {2018},
issn = {1732-3916},
pages = {129-141},keywords = {entopry; stiching; optimization},
abstract = {In this paper we present a method with closed analytic formula of stitching aligned images.

	It is obtained by choosing a statistically optimal global color change of one part of image.  This approach, due to its numerical efficiency, is especially well-suited for merging big amount of satellite images into a single map.

	Moreover, we present solution of a general problem, how to find an optimal shift by v of data Y with respect to v from V, so that the dataset  X, Y+v is maximally statistically consistent. We show that the solution is given in a closed analytic form.},
doi = {10.4467/20838476SI.18.010.10415},
url = {https://ejournals.eu/en/journal/schedae-informaticae/article/image-stitching-based-on-entropy-minimization}
}