Multisensor image fusion using the wavelet transform
Graphical Models and Image Processing
Multifocus image fusion using artificial neural networks
Pattern Recognition Letters
Objective Image Fusion Performance Characterisation
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
A region-based multi-sensor image fusion scheme using pulse-coupled neural network
Pattern Recognition Letters
A filter bank for the directional decomposition of images: theoryand design
IEEE Transactions on Signal Processing
The discrete wavelet transform: wedding the a trous and Mallatalgorithms
IEEE Transactions on Signal Processing
Gradient-based multiresolution image fusion
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
The contourlet transform: an efficient directional multiresolution image representation
IEEE Transactions on Image Processing
The Nonsubsampled Contourlet Transform: Theory, Design, and Applications
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Image fusion using self-constraint pulse-coupled neural network
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part III
Biological image fusion using a NSCT based variable-weight method
Information Fusion
Similarity-based multimodality image fusion with shiftable complex directional pyramid
Pattern Recognition Letters
A regional image fusion based on similarity characteristics
Signal Processing
Human visual system inspired multi-modal medical image fusion framework
Expert Systems with Applications: An International Journal
A prototype device for concealed weapon detection using IR and CMOS cameras fast image fusion
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
Image matting for fusion of multi-focus images in dynamic scenes
Information Fusion
Simultaneous image fusion and super-resolution using sparse representation
Information Fusion
Tunable-Q contourlet-based multi-sensor image fusion
Signal Processing
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A novel image fusion algorithm based on the nonsubsampled contourlet transform (NSCT) is proposed in this paper, aiming at solving the fusion problem of multifocus images. The selection principles of different subband coefficients obtained by the NSCT decomposition are discussed in detail. Based on the directional vector normal, a 'selecting' scheme combined with the 'averaging' scheme is presented for the lowpass subband coefficients. Based on the directional bandlimited contrast and the directional vector standard deviation, a selection principle is put forward for the bandpass directional subband coefficients. Experimental results demonstrate that the proposed algorithm cannot only extract more important visual information from source images, but also effectively avoid the introduction of artificial information. It significantly outperforms the traditional discrete wavelet transform-based and the discrete wavelet frame transform-based image fusion methods in terms of both visual quality and objective evaluation, especially when the source images are not perfectly registered.