OneRestore : A universal restoration framework for composite degradation

• Main Authors: GUO, Yu, GAO, Yuan, LU, Yuxu, ZHU, Huilin, LIU, Ryan Wen, HE, Shengfeng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Image restoration; Imaging model; Transformer-based framework; scene descriptors; Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/9772; https://ink.library.smu.edu.sg/context/sis_research/article/10772/viewcontent/2407.04621v4.pdf
• Institution: Singapore Management University

In real-world scenarios, image impairments often manifest as composite degradations, presenting a complex interplay of elements such as low light, haze, rain, and snow. Despite this reality, existing restoration methods typically target isolated degradation types, thereby falling short in environmen...