Title :
An objective image fusion performance index: Normalized edge mutual information
Author :
Xiao Bo ; Yan Liping
Author_Institution :
Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
Image fusion performance evaluation indices are studied in this paper, and an objective measure is presented, which is the normalized edge mutual information (NEMI). NEMI is defined in view of information transmission and human vision system, and is used to evaluate the performance of pixel level image fusion algorithms. Several valuable properties of it are shown. The effectiveness of the NEMI is illustrated through experiments.
Keywords :
entropy; image fusion; performance evaluation; performance index; NEMI; human vision system; image fusion performance evaluation indices; information transmission; normalized edge mutual information; objective image fusion performance index; objective measure; pixel level image fusion algorithms; valuable property; Entropy; Humans; Image edge detection; Image fusion; Mutual information; Performance evaluation; Image fusion; entropy; human vision system; normalized edge mutual information; performance measure;
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768
