Low-light Image Enhancement Using Fast Adaptive Binning for Mobile Phone Cameras

The existing low-light enhancement methods provide better enhancement results, and it cannot be implemented on the real-time processing due to the computational load. Also, these methods generate the unnatural artifacts such as noise amplification, color distortion and saturation problem. To solve this problem, this paper presents a fast adaptive binning method using local amplification ratio map and improved cumulative density function (CDF). The experimental results show that the proposed method provides significantly enhanced results than existing methods, and it can be adapted to consumer devices by finite impulse response (FIR) structure.