Indexed by:
Abstract:
To assist underwater object detection for better performance, image enhancement technology is often used as a pre-processing step. However, most of the existing enhancement methods tend to pursue the visual quality of an image, instead of providing effective help for detection tasks. In fact, image enhancement algorithms should be optimized with the goal of utility improvement. In this paper, to adapt to the underwater detection tasks, we proposed a lightweight dynamic enhancement algorithm using a contribution dictionary to guide low-level corrections. Dynamic solutions are designed to capture differences in detection preferences. In addition, it can also balance the inconsistency between the contribution of correction operations and their time complexity. Experimental results in real underwater object detection tasks show the superiority of our proposed method in both generalization and real-time performance. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Keyword:
Reprint 's Address:
Version:
Source :
ISSN: 1865-0929
Year: 2023
Volume: 1766 CCIS
Page: 203-216
Language: English
Affiliated Colleges:
查看更多>>操作日志
管理员 2024-10-25 17:32:03 追加
管理员 2024-09-25 16:08:59 追加
管理员 2024-09-17 01:15:16 更新被引
管理员 2024-08-28 17:12:29 更新被引