Maqola

Wireless Capsule Endoscope Low-light Image Enhancement with Balanced Brightness and Saturation

Wenzhuo LiSchool of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, ChinaYinghui WangSchool of Artificial Intelligence and Computer Science, Jiangnan University & Ministry of Education, Engineering Research Center of Intelligent Technology for Healthcare, Wuxi, Jiangsu, ChinaWei LiSchool of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, ChinaLiangyi HuangSchool of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USAKamoliddin ShukurovDepartment of Artificial intelligence, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, UzbekistanMingfeng WangDepartment of Mechanical and Aerospace Engineering, Brunel University London, London, United Kingdom

2024en

ABI

Annotatsiya

An image enhancement method, which is solving the issue of detail loss caused by the inability of existing image enhancement methods to balance brightness and saturation in Wireless Capsule Endoscope (WCE) low-light environment, is proposed.Firstly, we design a multi-scale fast guided filter to estimate the illumination component and utilize the OTSU method to determine the function parameters based on the grayscale information of the illumination component.Secondly, we construct a brightness enhancement

Mavzular

Image Enhancement Techniques Advanced Vision and Imaging Advanced Image Processing Techniques

Identifikatorlar

DOI: 10.1145/3652583.3658034

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