[Image Processing] Looking for non-reference based image quality check, BRISQUE results seems untrustworthy on small patch.

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Shubham
Shubham 2024-1-22
编辑： Image Analyst 2024-1-23
Hi,
I'm having a noisy volumetric 3d data[cubical] of a coin with dark background
like 360x360x2048 = image [360x360] = max(data,[],3)
Algo1: get denoisy data A [takes 1hour to run]
Algo2: get denoisy data B [takes 1hour to run]
Algo3: get denoisy data C [takes 1hour to run]
data A looks better compared to rest and brisque value also says the same [brisque ranging from 15-30]
to work faster we tried to work on patch of 60x60, 120x120, 240x240, 256x256 time ranging from [4 mins to 30mins]
Algo1: get denoisy data A
Algo2: get denoisy data B
Algo3: get denoisy data C
data A looks better compared to rest but now brisque value seems to give random numbers [40-120] and not even in ordered way.
We are looking for a non-reference based image comparison thing.
Please help what all we should explore?

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Image Analyst
Image Analyst 2024-1-23
编辑：Image Analyst 2024-1-23
Try niqe and piqe.
And see https://en.wikipedia.org/wiki/Image_quality
And see articles in the Image Processing Literature on it:

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