How can you 'quantify' IFFT of 2D image?
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Hello,
I have 2D electron microscopy images that can be transform to multiple frequencies using FFT.
I think that the easiest way to analyse these complex images (i.e. spacial domain images) would be to look on multiple frequency domains; thus, I've applied masks on specific freqencies and took the IFFT2 function
Now, I look for a quantitative way to measure how 'imperfect' the image is (see the images attached side by side as an example).
I'm wondering whether there are tools in Matlab that can help me do it?
P.S. I've looked on the different functions under 'image analysis', e.g. entropy, but haven't found something suitable.
Any ideas?
Thanks!![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/530144/image.png)
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/530144/image.png)
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回答(1 个)
Drishan Poovaya
2021-3-24
I understand you want to quantify the imperfections in your image compared to your pristine reference image. I suggest you look at the functions in the link below. Particularly, since you have a pristine reference image, the Full-Reference Quality Metrics functions should be appropriate. You can read more about them in the link below
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