Multisensor image fusion (e.g. IR with visual) is the process of combining relevant information from two or more images
into a single image. The aim is to find an objective quality measure, which can be used in automatic applications, that
correlates best with subjective observer trials. Not all combinations of image, algorithm, and test observer can be worked
out. In this paper R. Fisher’s Design of Experiments approach based on Latin Squares is used for thinning out the
number of experiments for each observer in such observer trials while preserving exactness and reliability of the result.
Eckart Michaelsen, Gabriele Schwan, and Norbert Scherer-Negenborn, "Designing observer trials for image fusion experiments with Latin Squares," Proc. SPIE 10200, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVI, 1020015 (Presented at SPIE Defense + Security: April 12, 2017; Published: 2 May 2017); https://doi.org/10.1117/12.2262488.
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