Researchers from NVIDIA, MIT and Aalto University showed how to reduce the noise level in photos using AI. The team trained its Noise2Noise system for 50,000 images from the ImageNet suite, using NVIDIA Tesla P100 graphics processors and the TensorFlow framework with cuDNN acceleration.
Usually, neural networks look for the difference between two kinds of photographs: noisy and "clean". The new method does not require the preparation of such pairs, the system only provides shots with different levels of interference for training. It determines how to improve the quality of the image, while not inferior to the old methods of correction.
"Noise" is most often found in MRI images, as well as in astronomical photos. Researchers are confident that their method will help improve the quality of such visualization.
The scientists presented their work at the International Conference on Machine Learning in Stockholm (ICML).