Open AccessHilbert vibration decomposition based image fusion
Author(s) -
Saxe.,
Sharma K.K.
Publication year - 2016
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2016.2270
Subject(s) - image fusion , vibration , decomposition , fusion , image (mathematics) , computer science , hilbert transform , artificial intelligence , computer vision , mathematics , acoustics , physics , ecology , linguistics , philosophy , biology , filter (signal processing)
The image fusion plays a crucial role in many fields such as remote sensing, medical and robotics applications. In this Letter, a novel Hilbert vibration decomposition (HVD) based image fusion scheme is proposed. The HVD decomposes the source images into instantaneous amplitude and frequency components with decreasing energy values. Amplitude components of the first and second signals in the decomposition of the source images are used to generate the fused images using appropriate fusion rule. Performance evaluation of fused images is done by computing fusion quality metrics and the fusion results are compared with other existing fusion schemes. It is seen that the performance of the proposed scheme is better as compared with the existing fusion schemes.