TY - JOUR
TI - Image Stitching Based on Entropy Minimization
AU - Misztal, Krzysztof
AU - Spurek, Przemysław
AU - Tabor, Jacek
TI - Image Stitching Based on Entropy Minimization
AB - 
	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.
VL - 2018
IS - Volume 27
PY - 2018
SN - 1732-3916
C1 - 2083-8476
SP - 129
EP - 141
DO - 10.4467/20838476SI.18.010.10415
UR - https://ejournals.eu/en/journal/schedae-informaticae/article/image-stitching-based-on-entropy-minimization
KW - entopry
KW - stiching
KW - optimization