研究论文
Comments on ‘Information measure for performance of image fusion’
Mohammed Hossny, Saeid Nahavandi, Douglas Creighton
Deakin University
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摘要与影响
摘要 · 完整
The unsuitability of using classic mutual information measure as a performance measure for image fusion is discussed. Analytical proof that classic mutual information cannot be considered a measure for image fusion performance is provided.
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学术脉络
学科主题
工程Advanced Image Fusion Techniques
Remote-Sensing Image Classification · Infrared Target Detection Methodologies
参考文献 5
Information measure for performance of image fusion
被引 1,425Qu Guihong, Dali Zhang, Yan Pingfan · Electronics Letters · 2002
Entropy and correlation
被引 62Yasuichi Horibe · IEEE Transactions on Systems Man and Cybernetics · 1985
Entropy and Correlation: Some Comments
被引 256Tarald O. Kvålseth · IEEE Transactions on Systems Man and Cybernetics · 1987
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引用本文 506
Image Fusion With Guided Filtering
被引 1,772Shutao Li, Xudong Kang, Jianwen Hu · IEEE Transactions on Image Processing · 2013
Infrared and visible image fusion methods and applications: A survey
被引 1,702Jiayi Ma, Yong Ma, Chang Li · Information Fusion · 2018
IFCNN: A general image fusion framework based on convolutional neural network
被引 1,510Yu Zhang, Yü Liu, Peng Sun · Information Fusion · 2019
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