Comparative Analysis of Image Fusion Performance Evaluation Methods for the Real-Time Environment Monitoring System

Maciej Wielgus , Barbara Putz

Abstract

We discuss and compare several objective measures used for image fusion algorithm performance evaluation. Subjective assessments are given as well. Many of the considered evaluation methods originate from prior literature, we also introduce measure based on Jensen-Shannon divergence and a simple gradient-based measure, particularly well fitted for the real time fusion evaluation issue. Along with several well known fusion methods we put under tests recently developed, promising algorithm based on the fast and adaptive bidimensional empirical mode decomposition.
Author Maciej Wielgus (FM / IMPh)
Maciej Wielgus,,
- The Institute of Micromechanics and Photonics
, Barbara Putz (FM / IACR)
Barbara Putz,,
- The Institute of Automatic Control and Robotics
Pages119-126
Publication size in sheets0.5
Book Choraś Ryszard S. (eds.): Image Processing and Communications Challenges 4, Advances in Intelligent Systems and Computing, vol. 184, part 1, 2013, Heidelberg New York Dordrecht London, Springer-Verlag, ISBN 978-3-642-32383-6, 311 p., DOI:10.1007/978-3-642-32384-3
Keywords in EnglishArtificial Intelligence (incl. Robotics), Communications Engineering, Networks, Computational Intelligence, Image Processing and Computer Vision, Signal, Image and Speech Processing
DOIDOI:10.1007/978-3-642-32384-3_15
URL http://link.springer.com/chapter/10.1007/978-3-642-32384-3_15
Languageen angielski
Score (nominal)5
ScoreMinisterial score = 5.0, 01-01-2020, MonographChapterAuthor
Publication indicators WoS Citations = 1
Citation count*2 (2020-09-15)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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