Low Light Imaging Algorithm

Images captured in low-light environments are prone to low visibility issues, such as reduced contrast, faint colors, and blurred scenes. This is a major problem for most applications of computational photography and computer vision, which are primarily designed for high-quality inputs. Therefore, unveiling the scene details hidden within the dark regions to further enhance the overall visual quality, which is often referred to as “low-light image enhancement”, is highly desired and has strong implications.

Download the brochure to learn more about the enhancement of low light imaging algorithm.