Real-time endoscopy haze removal: a synthetical method

被引：0
|
作者：
Zhuo, Xu [1 ]
Yang, Chenbin [2 ]
Gao, Yuming [3 ]
Wang, Zhihua [3 ]
Chen, Yang [1 ,4 ,5 ]
Wu, Ke [2 ]
机构：
[1] Southeast Univ, Sch Comp Sci & Engn, Lab Image Sci & Technol, Nanjing, Peoples R China
[2] Tuge Med Technol Co Ltd, Nanjing, Peoples R China
[3] Southeast Univ, Sch Comp Sci & Engn, Nanjing, Peoples R China
[4] Jiangsu Prov Joint Int Res Lab Med Informat Proc, Nanjing, Peoples R China
[5] Southeast Univ, Minist Educ, Key Lab New Generat Artificial Intelligence Tech, Nanjing, Peoples R China
来源：
MULTIMEDIA TOOLS AND APPLICATIONS | 2024年 / 83卷 / 11期
关键词：
Video dehazing; Endoscopy haze removal; Refined Dark Channel prior; Markov random field; Color attenuation prior;
D O I：
10.1007/s11042-023-16375-w
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In endoscopic surgeries, the smoke and haze generated by temperature difference and electrosurgical knife usage degrades the surgical view. While many researches on natural single image haze removal being proposed, few works are done for video haze removal of endoscopy view. In this paper, we proposed a synthetical method for endoscopy haze removal combining a Refined Dark Channel Prior (RDCP), Spatial-Temporal Markov Random Field (STMRF), Color Attenuation Prior (CAP) and parameter self-adaption. Qualitative and quantitative experiment results outperformed some traditional and deep learning based methods. Our proposed method is an effective and practical one.
引用
收藏
页码：31195 / 31209
页数：15
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