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An implementation for noise model estimation method of "A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising", CVPR 2020.

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PBNFM

This code implements the noise model estimation method described in "A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising" paper. Since the original project,ELD, only provides the denoising process and some key details are missing, the project is made for throughly understand the process of noise estimation method from the paper.

Codes update

Since the "func.py" code and estimation code are under cleaning, a "func.pyc" file is provided for testing purpose. And the rest of the code will update as soon as the code clean is done.

If you are interesting in this project and have some suggestions on this code, please feel free to contact me.

Sample Results

The K and f in test code is set to 27 and 20,separately.

input_ clean synthesis noise
1in 1out
2in 2out

Noise Estimation Code

The code clean job has done and I will upload the code at the middle of the April. Many thanks for the generous starring when you clone this code.

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An implementation for noise model estimation method of "A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising", CVPR 2020.

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