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RSS FeedsEntropy, Vol. 21, Pages 1135: A Novel Infrared and Visible Image Information Fusion Method Based on Phase Congruency and Image Entropy (Entropy)


21 november 2019 19:02:48

Entropy, Vol. 21, Pages 1135: A Novel Infrared and Visible Image Information Fusion Method Based on Phase Congruency and Image Entropy (Entropy)

In multi-modality image fusion, source image decomposition, such as multi-scale transform (MST), is a necessary step and also widely used. However, when MST is directly used to decompose source images into high- and low-frequency components, the corresponding decomposed components are not precise enough for the following infrared-visible fusion operations. This paper proposes a non-subsampled contourlet transform (NSCT) based decomposition method for image fusion, by which source images are decomposed to obtain corresponding high- and low-frequency sub-bands. Unlike MST, the obtained high-frequency sub-bands have different decomposition layers, and each layer contains different information. In order to obtain a more informative fused high-frequency component, maximum absolute value and pulse coupled neural network (PCNN) fusion rules are applied to different sub-bands of high-frequency components. Activity measures, such as phase congruency (PC), local measure of sharpness change (LSCM), and local signal strength (LSS), are designed to enhance the detailed features of fused low-frequency components. The fused high- and low-frequency components are integrated to form a fused image. The experiment results show that the fused images obtained by the proposed method achieve good performance in clarity, contrast, and image information entropy. Digg Facebook Google StumbleUpon Twitter
25 viewsCategory: Informatics, Physics
Entropy, Vol. 21, Pages 1136: A Framework to Secure the Development and Auditing of SSL Pinning in Mobile Applications: The Case of Android Devices (Entropy)
Entropy, Vol. 21, Pages 1140: Erratum: Siddagangaiah, S., Chen, C.-F., Hu, W.-C., Pieretti, N. A Complexity-Entropy Based Approach for the Detection of Fish Choruses. Entropy 2019, 21(10), 977 (Entropy)
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