Comparative Analysis of Image Fusion Performance Evaluation Methods for the Real-Time Environment Monitoring System
Maciej Wielgus , Barbara Putz
AbstractWe 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.
|Publication size in sheets||0.5|
|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 English||Artificial Intelligence (incl. Robotics), Communications Engineering, Networks, Computational Intelligence, Image Processing and Computer Vision, Signal, Image and Speech Processing|
|Score||= 5.0, 01-01-2020, MonographChapterAuthor|
|Publication indicators||= 1|
|Citation count*||2 (2020-09-15)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.