Image Stitching Based on Entropy Minimization
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Publication date: 2018
Schedae Informaticae, 2018, Volume 27, pp. 129 - 141
https://doi.org/10.4467/20838476SI.18.010.10415Authors
Image Stitching Based on Entropy Minimization
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.
Information: Schedae Informaticae, 2018, Volume 27, pp. 129 - 141
Article type: Original article
Titles:
Image Stitching Based on Entropy Minimization
Image Stitching Based on Entropy Minimization
Faculty of Mathematics and Computer Science, Jagiellonian University, Krakow, Poland
Faculty of Mathematics and Computer Science, Jagiellonian University, Krakow, Poland
Faculty of Mathematics and Computer Science, Jagiellonian University ul. Łojasiewicza 6, 30-348 Kraków, Poland
Published at: 2018
Article status: Open
Licence: CC BY-NC-ND
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English