A no-reference perceptual based contrast enhancement metric for ocean scenes in fog.

Gibson, Kristofor Boyd; Nguyen, Truong Q · IEEE Trans Image Process · 2013

basic_science · Level V

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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.