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Haze visibility enhancement: A Survey and quantitative benchmarking

Li, Yu; You, Shaodi; Brown, Michael S.; Tan, Robby T.

Description

This paper provides a comprehensive survey of methods dealing with visibility enhancement of images taken in hazy or foggy scenes. The survey begins with discussing the optical models of atmospheric scattering media and image formation. This is followed by a survey of existing methods, which are categorized into: multiple image methods, polarizing filter-based methods, methods with known depth, and single-image methods. We also provide a benchmark of a number of well-known single-image methods,...[Show more]

CollectionsANU Research Publications
Date published: 2017
Type: Journal article
URI: http://hdl.handle.net/1885/139464
Source: Computer Vision and Image Understanding
DOI: 10.1016/j.cviu.2017.09.003

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