title: A no-reference perceptual based contrast enhancement metric for ocean scenes in fog.
abstract: In this paper, we develop a perceptually based contrast enhancement metric as a means to solve the problem of autonomously enhancing images degraded by fog that are perceptually pleasing to humans. A learning based approach is considered to develop the contrast enhancement using human observations and low-level contrast enhancement metrics based on the human vision system. In addition, we provide new low-level metrics based on the physics of the scene to improve the performance of existing contrast enhancement metrics. This paper shows that a contrast enhancement metric can be designed to mimic human preference.
authors.affiliation: Department of Electrical and Computer Engineering,University of California-San Diego, La Jolla, CA 92093, USA. k1gibson@ucsd.edu
authors.forename: Kristofor Boyd
authors.initials: KB
authors.lastname: Gibson
authors.forename: Truong Q
authors.initials: TQ
authors.lastname: Nguyen