Description: Abstract：According to the law that the contour fuzziness of the low-frequency sub-band and the detail information of the high-frequency
sub-band increase with the growth of the wavelet decomposition levels, an effect selection method of the optimal decomposition level is
proposed. Firstly, the difference of original image entropy is calculated. Then, the differences of the low-frequency sub-image entropy
based on different decomposition level are calculated. Finally, the decomposition level which makes the difference of the low-frequency
sub-image entropy closest to the difference of original image entropy is found. This level is the optimal decomposition level. To fuse
two groups of medical images, simulation experiments are done by use of the wavelet transform and the PCA transform based on wavelet.
The experimental result indicates that the fusion image used by the proposed method has the best subjective feeling of human being, and
it has very good compatibility to objective
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医学图像融合中最佳小波分解层数的选择.pdf
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