Haze visibility enhancement: A Survey and quantitative benchmarking

被引:109
|
作者
Li, Yu [1 ]
You, Shaodi [2 ,3 ]
Brown, Michael S. [4 ]
Tan, Robby T. [5 ,6 ]
机构
[1] Adv Digital Sci Ctr, Singapore, Singapore
[2] Data61 CSIRO, Canberra, ACT, Australia
[3] Australian Natl Univ, Canberra, ACT, Australia
[4] York Univ, N York, ON, Canada
[5] Yale NUS Coll, Singapore, Singapore
[6] Natl Univ Singapore, Singapore, Singapore
基金
加拿大自然科学与工程研究理事会; 新加坡国家研究基金会;
关键词
Scattering media; Visibility enhancement; Dehazing; Defogging; IMAGE QUALITY; COLOR; MODEL; VISION;
D O I
10.1016/j.cviu.2017.09.003
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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, based on a recent dataset provided by Fattal (2014) and our newly generated scattering media dataset that contains ground truth images for quantitative evaluation. To our knowledge, this is the first benchmark using numerical metrics to evaluate dehazing techniques. This benchmark allows us to objectively compare the results of existing methods and to better identify the strengths and limitations of each method.
引用
收藏
页码:1 / 16
页数:16
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