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Underwater radio frequency image sensor using progressive image compression and region of interest

  • Eduardo M. Rubino
  • Diego Centelles
  • Jorge Sales
  • José V. Martí
  • Raúl Marín
  • Pedro J. Sanz
  • Alberto J. Álvares
Technical Paper

Abstract

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; however, the limited and varying bandwidth of underwater radio frequency (RF) channels is a major obstacle for the operator to get camera feedback and supervise the intervention. 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. The operator can dynamically decide the size, quality, frame rate, or resolution of the received images so that the available bandwidth is utilized to its fullest potential and with the required minimum latency. The paper focuses first on the description of the system, which uses a camera, an embedded Linux system, and an RF emitter installed in an OpenROV housing cylinder. The RF receiver is connected to a computer on the user side, which controls the camera monitoring parameters, including the compression inputs, such as region of interest (ROI), size of the image, and frame rate. The paper focuses on the compression subsystem and does not attempt to improve the communications physical media for better underwater RF links. Instead, it proposes a unified system that uses well-integrated modules (compression and transmission) to provide the scientific community with a higher-level protocol for image compression and transmission in sub-sea robotic interventions.

Keywords

Progressive image compression Region of interest (ROI) Wavelet transforms Low-bandwidth communications Underwater vehicles for intervention 

Notes

Acknowledgements

This work was partly supported by the Spanish Ministry under the Grant DPI2014-57746-C3 (MERBOTS Project), by Universitat Jaume I Grants PID2010-12, E-2015-24, PREDOC/2012/47 and PREDOC/2013/46, and by Generalitat Valenciana Grant ACIF/2014/298 and in the Brazil CNPQ and FAP/DF.

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Copyright information

© The Brazilian Society of Mechanical Sciences and Engineering 2017

Authors and Affiliations

  • Eduardo M. Rubino
    • 1
  • Diego Centelles
    • 1
  • Jorge Sales
    • 1
  • José V. Martí
    • 1
  • Raúl Marín
    • 1
  • Pedro J. Sanz
    • 1
  • Alberto J. Álvares
    • 2
  1. 1.Computer Science and Engineering DepartmentUniversity of Jaume-ICastelló de la PlanaSpain
  2. 2.Department of Mechanical EngineeringUniversity of BrasiliaBrasiliaBrazil

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