Color Transfer Pulse-Coupled Neural Networks for Underwater Robotic Visual Systems

	Color Transfer Pulse-Coupled Neural Networks for Underwater Robotic Visual Systems
	He, Kangjian; Wang, Ruxin; Tao, Dapeng; Cheng, Jun; Liu, Weifeng
刊名	IEEE ACCESS
	2018
文献子类	期刊论文
英文摘要	With rapid developments in cloud computing, artificial intelligence, and robotic systems, ever more complex tasks, such as space and ocean exploration, are being implemented by intelligent robots. Here, we propose an underwater image enhancement scheme for robotic visual systems. The proposed algorithm and its implementation enhances and outputs an image captured by an underwater robot in real time. In this scheme, pulse-coupled neural network (PCNN)-based image enhancement and color transfer algorithms are combined to enhance the underwater image. To avoid color imbalance in the underwater image and enhance details while suppressing noise, color correction is first carried out on the underwater image before converting it into the hue-saturation-intensity domain and enhancing it by PCNN. The enhanced result improves the color and contrast of the source image and enhances the details and edges of darker regions. Experiments are performed on real world data to demonstrate the effectiveness of the proposed scheme.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/13579]
专题	深圳先进技术研究院_集成所
推荐引用方式 GB/T 7714	He, Kangjian,Wang, Ruxin,Tao, Dapeng,et al. Color Transfer Pulse-Coupled Neural Networks for Underwater Robotic Visual Systems[J]. IEEE ACCESS,2018.
APA	He, Kangjian,Wang, Ruxin,Tao, Dapeng,Cheng, Jun,&Liu, Weifeng.(2018).Color Transfer Pulse-Coupled Neural Networks for Underwater Robotic Visual Systems.IEEE ACCESS.
MLA	He, Kangjian,et al."Color Transfer Pulse-Coupled Neural Networks for Underwater Robotic Visual Systems".IEEE ACCESS (2018).