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Underwater image enhancement using multi-task fusion

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成果类型:
期刊论文
作者:
Liao, Kaibo;Peng, Xi
通讯作者:
Liao, KB
作者机构:
[Liao, Kaibo; Liao, KB; Peng, Xi] Cent China Normal Univ, Sch Comp, Wuhan, Hubei, Peoples R China.
[Peng, Xi] Cent China Normal Univ, Hubei Prov Key Lab Artificial Intelligence & Smart, Wuhan, Hubei, Peoples R China.
通讯机构:
[Liao, KB ] C
Cent China Normal Univ, Sch Comp, Wuhan, Hubei, Peoples R China.
语种:
英文
期刊:
PLOS ONE
ISSN:
1932-6203
年:
2024
卷:
19
期:
2
页码:
e0299110
机构署名:
本校为第一机构
院系归属:
计算机学院
摘要:
Underwater images are often scattered due to suspended particles in the water, resulting in light scattering and blocking and reduced visibility and contrast. Color shifts and distortions are also caused by the absorption of different wavelengths of light in the water. This series of problems will make the underwater image quality greatly impaired, resulting in some advanced visual work can not be carried out underwater. In order to solve these problems, this paper proposes an underwater image enhancement method based on multi-task fusion, called MTF. Specifically, we first use linear constrai...

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