Accelerated local Laplacian filter;
haze removal;
visibility restoration;
QUALITY ASSESSMENT;
D O I:
10.1109/LGRS.2018.2814016
中图分类号:
P3 [地球物理学];
P59 [地球化学];
学科分类号:
0708 ;
070902 ;
摘要:
A framework for image visibility restoration and haze removal is proposed. The proposed technique utilizes hybrid median filtering in conjunction with accelerated local Laplacian filtering for initial dehazing of images. For visual enhancement and correct restoration of colors, constrained l(0)-based gradient image decomposition is applied. The proposed technique not only effectively removes haze from the images but also addresses the issues of distorted colors, visual, and halo artifacts, and haze removal from sky region in images in a better way when compared to other techniques. Experiments were performed on outdoor RGB images as well as remotely sensed images. The effectiveness of our proposed technique is demonstrated by quantitative and visual analyzes.
机构:
Chinese Univ Hong Kong, Dept Informat Engn, Multimedia Lab, Shatin, Hong Kong, Peoples R ChinaChinese Univ Hong Kong, Dept Informat Engn, Multimedia Lab, Shatin, Hong Kong, Peoples R China
He, Kaiming
Sun, Jian
论文数: 0引用数: 0
h-index: 0
机构:
Microsoft Res Asia, Beijing, Peoples R ChinaChinese Univ Hong Kong, Dept Informat Engn, Multimedia Lab, Shatin, Hong Kong, Peoples R China
Sun, Jian
Tang, Xiaoou
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Univ Hong Kong, Fac Engn, Shatin, Hong Kong, Peoples R ChinaChinese Univ Hong Kong, Dept Informat Engn, Multimedia Lab, Shatin, Hong Kong, Peoples R China
机构:
Chinese Univ Hong Kong, Dept Informat Engn, Multimedia Lab, Shatin, Hong Kong, Peoples R ChinaChinese Univ Hong Kong, Dept Informat Engn, Multimedia Lab, Shatin, Hong Kong, Peoples R China
He, Kaiming
Sun, Jian
论文数: 0引用数: 0
h-index: 0
机构:
Microsoft Res Asia, Beijing, Peoples R ChinaChinese Univ Hong Kong, Dept Informat Engn, Multimedia Lab, Shatin, Hong Kong, Peoples R China
Sun, Jian
Tang, Xiaoou
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Univ Hong Kong, Fac Engn, Shatin, Hong Kong, Peoples R ChinaChinese Univ Hong Kong, Dept Informat Engn, Multimedia Lab, Shatin, Hong Kong, Peoples R China