A Biological Vision Inspired Framework for Image Enhancement in Poor Visibility Conditions

• Published in: IEEE transactions on image processing Vol. 29; pp. 1493 - 1506
• Main Authors: Yang, Kai-Fu, Zhang, Xian-Shi, Li, Yong-Jie
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.01.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptation models; Computer vision; Datasets; Dynamic range; HDR image; Image enhancement; low-light image; Luminance; Mapping; Nighttime image; Noise reduction; noise suppression; Task analysis; Visibility; visual adaptation; Visual systems; Visual tasks; Visualization

Image enhancement is an important pre-processing step for many computer vision applications especially regarding the scenes in poor visibility conditions. In this work, we develop a unified two-pathway model inspired by the biological vision, especially the early visual mechanisms, which contributes...