LIME

This page provides a demo for the novel method for enhancing low-light images. 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 work, we propose a very simple yet effective method, named as LIME, to enhance low-light images. More concretely, the illumination of each pixel is first estimated individually by finding the maximum value in R, G and B channels. Further, 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 enhancement can be achieved accordingly.

The picture below shows several examples of low-light image enhancement. The top row gives five natural images captured under dim light conditions, the middle row contains the illuminate maps estimated by our method, while the bottom row shows the results enhanced by our LIME.