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Structure based transmission estimation in single image dehazing
被引:0
|作者:
Raikwar, Suresh
[1
]
Tapaswi, Shashikala
[2
]
Sharma, Rajendra Kumar
[3
]
机构:
[1] Thapar Inst Engn & Technol, Bhadson Rd, Patiala 147001, Punjab, India
[2] ABV Indian Inst Informat Technol & Management, Gwalior 474015, Madhya Pradesh, India
[3] Jaypee Univ Informat Technol, Waknaghat 173234, Himachal Prades, India
关键词:
Dark channel prior;
Dehazing;
Fog;
Generative adversarial network;
Haze;
Structural similarity;
FRAMEWORK;
ARCHITECTURE;
VISIBILITY;
NETWORK;
WEATHER;
D O I:
10.1016/j.jvcir.2024.104161
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
The single image dehazing (SID) is challenging because of ill-posed characteristic, since there exist multiple possible dehazed images for a single hazy image due to multiple possible values of transmission. The SID is solved using scattering model, which requires computation of two parameters (transmission and atmospheric light) for its solution. The existing methods have presented priors and techniques to estimate transmission with limited focus on structure of the transmission. This paper proposes a lower bound on transmission using structural measure. The proposed lower bound is utilized to estimate the value of transmission, while preserving structural. Further, a quality control parameter is introduced to ensure non -negative value of the transmission for images with brighter objects than atmospheric light. The accuracy and efficiency of the proposed method is established by comparing with renowned SID methods using benchmark datasets.
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页数:10
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