期刊
IEEE TRANSACTIONS ON IMAGE PROCESSING
卷 26, 期 2, 页码 982-993出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIP.2016.2639450
关键词
Illumination estimation; illumination (light) transmission; low-light image enhancement
资金
- National Natural Science Foundation of China [61402467]
- U.S. National Science Foundation [CNS-1618398, IIS-1350521]
- Div Of Information & Intelligent Systems
- Direct For Computer & Info Scie & Enginr [1350521] Funding Source: National Science Foundation
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 enhancement can be achieved accordingly. Experiments on a number of challenging low-light images are present to reveal the efficacy of our LIME and show its superiority over several state-of-the-arts in terms of enhancement quality and efficiency.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据