Advances in multifocus color image fusion
Multifocus color image fusion is an active research area in image processing, and many fusion algorithms have been developed. However, the existing techniques can hardly deal with the problem of image blur. In order to improve the fusion quality and overcome blur effect, a novel fusion algorithm based on quaternion curvelet transform was achieved in CIOMP.
Post-Doc Liqiang Guo, Prof. Ming Dai and Prof. Ming Zhu proposed the definition of quaternion curvelet transform (QCT) for color image, which was the generalization of traditional curvelet transform from real and complex numbers to quaternion algebra. The proposed fusion algorithm uses a multiresolution analysis procedure based on the QCT. In comparison with the typical DWT based algorithm, the advantage of the p... |
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