IEEE NL OES chapter invited talk 1

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IEEE NL OES chapter invited talk 1

Dear all,

We kindly invite you to attend the 1st invited technical talk organized by IEEE OES NL Chapter for 2023, the talk information:

The title of the talk:

Underwater Image Enhancement Based on Reinforcement Learning


Reinforcement learning is a family of methods for optimizing models in a sequential trial-and-error fashion. It can achieve optimal results for complicated models which can hardly be addressed by ordinary optimization methods. Underwater optical imaging involves complicated procedures including imaging process, visualization, and applications such as object detection in underwater optical images. How to achieve underwater optimal optical imaging for the purpose of high-quality image enhancement, good visualization and accurate object detection remains challenging problems. To address these challenges, we develop reinforcement learning strategies for optimizing the three procedures involved in underwater optical imaging. Specifically, we describe how to conduct optimal configuration of underwater optical imaging process, how to obtain optimal representation by underwater optical visualization, and how to achieve optimal performance for underwater optical object detection. Our preliminary study paves a possible way for exploiting reinforcement learning for obtaining underwater optimal optical imaging results.


Dr. Peng Ren (China University of Petroleum (East China))

Short bio: 

Dr. Ren received the BEng and MEng degrees both in electronic engineering from Harbin Institute of Technology, China, and PhD in computer science from the University of York, UK. He is currently a full professor with the College of Oceanography and Space Informatics, China University of Petroleum (East China). He is the director of Shandong Youth Innovative Team of offshore unmanned observation and also the director of Qingdao International Research Center for Intelligent Forecast and Detection of Oceanic Catastrophes. He received the Taishan Scholarship from Shandong Province, the K. M. Scott Prize from the University of York, the Natural Science award (first rank) from China Institute of Electronics, and the Eduardo Caianiello Best Student Paper Award from 18th International Conference on Image Analysis and Processing as one co-author. He serves as associate editors of IEEE TGRS and IEEE J-MASS. His research interests include learning based underwater imaging and remote sensing, unmanned vehicle observation, and on-orbit FPGA computation, etc. Dr. Ren is a senior member of IEEE.


9:30 am - 10:30 am, November 30, 2023

Talk link

Date and Time

  • Date: 30 Nov 2023
  • Time: 09:30 AM to 10:30 AM
  • All times are (UTC-03:30) Newfoundland
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  • This event has virtual attendance info. Please visit the event page to attend virtually.



Dr. Peng Ren



Underwater Image Enhancement Based on Reinforcement Learning