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Image fusion technique based on non-subsampled contourlet transform and adaptive unit-fast-linking pulse-coupled neural network

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4 Author(s)
Kong, W.W. ; Dept. of Comput. Eng., Air Force Eng. Univ., Xi'an, China ; Lei, Y.J. ; Lei, Y. ; Lu, S.

A new image fusion technique based on non-subsampled contourlet transform (NSCT) and adaptive unit-fast-linking pulse-coupled neural network (PCNN) is presented. By using NSCT, multi-scale and multi-direction sparse decompositions of the source images are performed. Then, the basic PCNN model is improved to be an adaptive unit-fast-linking PCNN model, which synthesises the advantages of both unit-linking PCNN and fast-linking PCNN. The novel PCNN model utilises the clarity of each pixel in images as the linking strength β; moreover, the time matrix T of the sub-images can be obtained via the synchronous pulse burst property. Finally, the sub-images are fused by analysing the time matrix T and linking strength β. The experimental results show that the proposed approach is better than some current methods.

Published in:

Image Processing, IET  (Volume:5 ,  Issue: 2 )