LIME: Low-Light Image Enhancement via Illumination Map Estimation

When one captures images in low-light conditions, the images often suffer from low visibility. Besides degrading the visual aesthetics of images, this poor quality may also significantly degenerate the performance of many computer vision and multimedia algorithms that are primarily designed for high-quality inputs. In this paper, we propose a simple yet effective low-light image enhancement (LIME) method. More concretely, the illumination of each pixel is first estimated individually by finding the maximum value in R, G, and B channels. Furthermore, we refine the initial illumination map by imposing a structure prior on it, as the final illumination map. Having the well-constructed illumination map, the…

• NS
  National Science Foundation

  Awards: CNS-1618398, IIS-1350521
• NN
  National Natural Science Foundation of China

  Award: 61402467