A filter bank for the directional decomposition of images: theoryand design
IEEE Transactions on Signal Processing
The curvelet transform for image denoising
IEEE Transactions on Image Processing
The contourlet transform: an efficient directional multiresolution image representation
IEEE Transactions on Image Processing
Biological image fusion using a NSCT based variable-weight method
Information Fusion
Image fusion algorithm based on local correlation in wavelet domain
ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
Image fusion algorithm using the multiresolution directional-oriented hermite transform
MCPR'11 Proceedings of the Third Mexican conference on Pattern recognition
Similarity-based multimodality image fusion with shiftable complex directional pyramid
Pattern Recognition Letters
Computer Methods and Programs in Biomedicine
A study on convex optimization approaches to image fusion
SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
Multimodality image fusion by using both phase and magnitude information
Pattern Recognition Letters
Human visual system inspired multi-modal medical image fusion framework
Expert Systems with Applications: An International Journal
Multisensor video fusion based on spatial-temporal salience detection
Signal Processing
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As a novel multiscale geometric analysis tool, contourlet has shown many advantages over the conventional image representation methods. In this paper, a new fusion algorithm for multimodal medical images based on contourlet transform is proposed. All fusion operations are performed in contourlet domain. A novel contourlet contrast measurement is developed, which is proved to be more suitable for human vision system. Other fusion rules like local energy, weighted average and selection are combined with ''region'' idea for coefficient selection in the lowpass and highpass subbands, which can preserve more details in source images and further improve the quality of fused image. The final fusion image is obtained by directly applying inverse contourlet transform to the fused lowpass and highpass subbands. Extensive fusion experiments have been made on three groups of multimodality CT/MR dataset, both visual and quantitative analysis show that comparing with conventional image fusion algorithms, the proposed approach can provide a more satisfactory fusion outcome.