Enhance dark images in new untrained domain by simulating image pipeline for training

Towards Robust Low Light Image Enhancement
arXiv paper abstract https://arxiv.org/abs/2205.08615v1
arXiv PDF paper https://arxiv.org/pdf/2205.08615v1.pdf

… study the problem of making brighter images from dark images found in the wild.

… suffer from color shifts caused by quantization and from sensor noise.

… don’t know the true camera reponse function for such images and they are not RAW.

… use a supervised learning method, relying on a straightforward simulation of an imaging pipeline to generate usable dataset for training and testing.

… approach outperforms the state of the art quantitatively.

Qualitative comparisons suggest strong improvements in reconstruction accuracy.

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I apply innovative technologies like machine learning, computer vision, and physics to further an organization's goals. Am recognized innovator with 66 patents.