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The details of image analysis are given in Methods section.
In Image registration section, details of image registration have been discussed.
The details of image tiles generation can be found in [22].
At last, the texture details of image are enhanced by emphasizing the high-frequency components of image using multichannel decomposition of Cortex Transform.
We have used low-level image, where LL1 represents the approximation of original image and is further decomposed to second-level approximation and details of image.
At last, the texture details of image are enhanced by emphasizing the high-frequency components of image using multi-channel decomposition of Cortex Transform [11].
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The details of images processed by the proposed method can be preserved relatively complete and the denoising effect is satisfactory.
Last but not least, the details of images which correspond to high-frequency components of images are enhanced by multi-channel decomposition of Cortex Transform.
Numerical experiments show that the proposed methods with varying scale parameter can efficiently remove noise, reduce the number of iteration, and well preserve the details of images.
With respect to the unique imaging technique, the resolution and detail of image data a consensus staging was reasonable.
Now the fused image is having all the necessary details of CT image and MRI image.
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