ChristineHitha
Introduction
Images captured under low-light conditions suffer from degradation, such as low visibility, low contrast, and high-level noise. Although they can be alleviated by professional devices and advanced photographic skills to a certain extent, the inherent cause of the noise is unavoidable and cannot be addressed at the hardware level. Without sufficient amount of light, the output of camera sensors is often buried in the intrinsic noise in the system. Longer exposure time can effectively increase the signal-to-noise ratio (SNR) and generate a noise-free image, however it breeds new problems such as motion blur. Thus, low-light image enhancement technique at the software level is highly desired in consumer photography. Moreover, such technique can also benefit many computer vision algorithms (object detection, tracking, etc.) since their performance highly relies on the visibility of the target scene.
Background
Methods
[[File::method_low_light.png|500px|thumb|center|Figure 2. Overall methods pipeline]]
