Abstract An adaptive low-illumination image enhancement algorithm based on the weighted least squares optimization is proposed to solve difficulty of detailed feature recognition in images that collected by visible light imaging equipment. First, converted from RGB channel LAB channel. Second, we use an edge-preserving smoothing operator coarsen smooth base layer and extract multi-scale details...
