Interferometric image processing/enhancing image quality

Hello All,

I believe it will be long shot but this is a call for some Image processing experts.

Problem: Need to enhance/improve the quality of images.

Details: I am working with a data set containing 1024 interferometric images from a camera. To put simply, images showing interference pattern. The sample taken is three glass slides. And, as a final result I should see three different lines separated by a distance. The things I have done: 1. Took all 1024 and stacked them in a matrix as a volume of images. 2. Made two loops which are user entered numbers and can cut the Cube/Volume of images in any row and column cross-section to see it from a different angle/perspective. E.g Think of it as a cardboard cube box which I am seeing from top view but if I need to see the different layers of the box then I will take a knife and cut it from top in half and seeing it from front which will show me the layers of the box. 3. After doing this, I simply applied the hilbert transform to demodulate the images as they are taken in time domain and supposed to be demodulated.

Result: Yayy....I got some results. See attached, you'll understand what I am mentioning it too. The image attached shows three different lines on the cross sectional image but to see those HORIZONTAL lines(sample) clearly, I need to remove the noise(vertical) lines shown in the image. It will enhance the quality of the image and probably produce much clearer image of it.

Question: Any idea on I can improve this image?

Thanks

[Image Analyst]

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