IDGCP: Image Dehazing Based on Gamma Correction Prior

被引:104
|
作者
Ju, Mingye [1 ,2 ]
Ding, Can [2 ]
Guo, Y. Jay [2 ]
Zhang, Dengyin [1 ]
机构
[1] Nanjing Univ Posts & Telecommun, Sch Internet Things, Nanjing 210000, Peoples R China
[2] UTS, GBDTC, Ultimo, NSW 2007, Australia
基金
澳大利亚研究理事会; 中国国家自然科学基金;
关键词
Atmospheric scattering theory; gamma correction prior (GCP); global-wise strategy; haze removal; processing time; vision indicator; CONTRAST ENHANCEMENT; SINGLE; VISIBILITY; RESTORATION; WEATHER; MODEL;
D O I
10.1109/TIP.2019.2957852
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 introduces a novel and effective image prior, i.e., gamma correction prior (GCP), which leads to an efficient image dehazing method, i.e., IDGCP. A step-by-step procedure of the proposed IDGCP is as follows. First, an input hazy image is preprocessed by the proposed GCP, resulting in a homogeneous virtual transformation of the hazy image. Then, from the original input hazy image and its virtual transformation, the depth ratio is extracted based on atmospheric scattering theory. Finally, a "global-wise" strategy and a vision indicator are employed to recover the scene albedo, thus restoring the hazy image. Unlike other image dehazing methods, IDGCP is based on the "global-wise" strategy, and it only needs to determine one unknown constant without any refining process to attain a high-quality restoration, thereby leading to significantly reduced processing time and computation cost. Each step of IDGCP is tested experimentally to validate its robustness. Moreover, a series of experiments are conducted on a number of challenging images with IDGCP and other state-of-the-art technologies, demonstrating the superiority of IDGCP over the others in terms of restoration quality and implementation efficiency.
引用
收藏
页码:3104 / 3118
页数:15
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