Progressive image compression and transmission with region of interest in underwater robotics

TitleProgressive image compression and transmission with region of interest in underwater robotics
Publication TypeConference Paper
Year of Publication2017
AuthorsRubino, EM, Centelles, D, Sales, J, Martí, JV, Marín, R, Sanz, PJ, Alvares, AJ
Conference NameOCEANS 2017 - Aberdeen
Date Published10/2017
Conference LocationAberdeen (UK)
ISBN Number978-1-5090-5278-3
Accession Number 17290784
KeywordsAcoustics, agile data exchange, Autonomous Underwater Vehicle, autonomous underwater vehicles, Bandwidth, camera feedback, Cameras, control system synthesis, data compression, image coding, Image Compression, image sensors, Image Transmission, Low Bandwidth Communications, mobile robots, Modems, progressive image compression, Radio frequency, region of interest, Region of Interest (ROI), remotely operated vehicles, robot vision, Robots, ROI, supervised semiautonomous robots, telerobotics, underwater acoustic communication, underwater acoustic modem channels, underwater image sensor design, underwater radio frequency, underwater RF, underwater robotic intervention systems, Underwater Vehicles for Intervention, Wavelet Transforms, Wireless communication, wireless communication system

The increasing demand for underwater robotic intervention systems around the world in several application domains requires more versatile and inexpensive systems. By using a wireless communication system, supervised semi-autonomous robots have freedom of movement and, at the same time, allows the operator to get camera feedback and supervise the intervention. Moreover, the limited and varying bandwidth of underwater radio frequency (RF) and underwater acoustic modem channels is a major obstacle. This paper proposes the use of progressive (embedded) image compression and region of interest (ROI) for the design of an underwater image sensor to be installed in an Autonomous Underwater Vehicle, specially when there are constraints on the available bandwidth, allowing a more agile data exchange between the vehicle and a human operator supervising the underwater intervention.