IEEE Trans Image Process - A no-reference perceptual based contrast enhancement metric for ocean scenes in fog.

Tópicos

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Resumo

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.

Resumo Limpo

paper develop perceptu base contrast enhanc metric mean solv problem autonom enhanc imag degrad fog perceptu pleas human learn base approach consid develop contrast enhanc use human observ lowlevel contrast enhanc metric base human vision system addit provid new lowlevel metric base physic scene improv perform exist contrast enhanc metric paper show contrast enhanc metric can design mimic human prefer

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