Poisson Informed Retinex Network for Extreme Low-Light Image Enhancement
PositiveArtificial Intelligence
A new study introduces a Poisson Informed Retinex Network aimed at enhancing images captured in extreme low-light conditions. This innovative approach tackles the challenges of traditional noise assumptions, which often fail in real-world scenarios where noise is signal-dependent. By focusing on Poisson noise, the research promises significant improvements in image quality, making it a valuable advancement for fields like photography and surveillance. This development is crucial as it opens up new possibilities for clearer imaging in low-light environments.
— via World Pulse Now AI Editorial System
