Edge Computing Driven Low-Light Image Dynamic Enhancement for Object Detection

• Published in: IEEE transactions on network science and engineering Vol. 10; no. 5; pp. 3086 - 3098
• Main Authors: Wu, Yirui, Guo, Haifeng, Chakraborty, Chinmay, Khosravi, Mohammad R., Berretti, Stefano, Wan, Shaohua
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.09.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Cloud computing; Computer networks; Edge computing; edge-driven deep learning method; Feature maps; Illumination; Image edge detection; Image enhancement; Light; Low-light image enhancement; Multimedia; Object detection; Object recognition; Performance evaluation; Response time (computers); Task analysis; Time response; User experience

With fast increase in volume of mobile multimedia data, how to apply powerful deep learning methods to process data with real-time response becomes a major issue. Meanwhile, edge computing structure helps improve response time and user experience by bringing flexible computation and storage capabili...