Processing low-light images with minimal noise
Researchers with the University of Illinois Urbana–Champaign and Intel have developed a deep neural network that brightens ultra-low light images without adding noise and other artefacts. The network was trained using 5,094 raw short-exposure low-light and long-exposure image pairs—the end result is a system that automatically brightens images at a much higher quality than traditional processing options.
Traditional methods to process low light images result typically in high levels of noise that is absent using the machine learning process:
These almost unbelievable examples of machine learning are revealed in the video below:
Project Page: HERE