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The filtered image is then obtained by using the inverse wavelet transformation.
A method using the inverse wavelet transform is proposed to generate artificial wind velocity fluctuations.
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Features were modified, and the inverse wavelet analysis using the same db4, order 5 was performed which produced the modeled sound [56].
After applying the inverse wavelet transform, the wavelet-filtered image should contain less eyelashes than the original image.
The synthesis step of the inverse wavelet transform W −1 starts with the lowest resolution r=0.
This limits, after applying the inverse wavelet transform, the resolution of the signal.
The quantization in the spatial domain, after the inverse wavelet transform, is less disturbing.
Afterwards, the HR image can be obtained by applying the inverse wavelet transform.
The fused image is finally constructed by the inverse wavelet transform with all composite coefficients.
Concerned with the inverse wavelet transform, we also get the following.
Finally the fused image is obtained by performing the inverse wavelet transform.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com