Underwater image contrast enhancement through an intensity-randomised approach incorporating a swarm intelligence technique with unsupervised dual-step fusion

• المؤلفون الرئيسيون: Mohd Azmi, Kamil Zakwan, Abdul Ghani, Ahmad Shahrizan, Md Yusof, Zulkifli, Mohammad-Noor, Normawaty, Ismail, Hasnun Nita, Abu, Mohd Yazid
• التنسيق: مقال
• اللغة: English
• منشور في: Taylor & Francis 2023
• الموضوعات: TK Electrical engineering. Electronics Nuclear engineering; TR Photography
• الوصول للمادة أونلاين: http://umpir.ump.edu.my/id/eprint/39883/1/2023%20Underwater%20image%20contrast%20enhancement%20through%20an%20intensity-randomised%20approach%20incorporating%20a.pdf; http://umpir.ump.edu.my/id/eprint/39883/; https://doi.org/10.1080/19479832.2023.2289490; https://doi.org/10.1080/19479832.2023.2289490

Analysing objects in an underwater medium is difficult due to light problems in such an environment. Low contrast and visibility in water medium result in restricted information extraction. Some previous methods inadequately reduce underwater colour cast and improve the image contrast minimally. Thi...