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International Conference on Pattern Recognition

ICPR 2018: Pattern Recognition and Information Forensics pp 37–44Cite as

An Online Platform for Underwater Image Quality Evaluation

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 11188))

Abstract

With the miniaturisation of underwater cameras, the volume of available underwater images has been considerably increasing. However, underwater images are degraded by the absorption and scattering of light in water. Image processing methods exist that aim to compensate for these degradations, but there are no standard quality evaluation measures or testing datasets for a systematic empirical comparison. For this reason, we propose PUIQE, an online platform for underwater image quality evaluation, which is inspired by other computer vision areas whose progress has been accelerated by evaluation platforms. PUIQE supports the comparison of methods through standard datasets and objective evaluation measures: quality scores for images uploaded on the platform are automatically computed and published in a leaderboard, which enables the ranking of methods. We hope that PUIQE will stimulate and facilitate the development of underwater image processing algorithms to improve underwater images.

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Author information

Authors and Affiliations

  1. Centre for Intelligent Sensing, Queen Mary University of London, London, UK

    Chau Yi Li, Riccardo Mazzon & Andrea Cavallaro

Authors
  1. Chau Yi Li
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  2. Riccardo Mazzon
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  3. Andrea Cavallaro
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Corresponding author

Correspondence to Chau Yi Li .

Editor information

Editors and Affiliations

  1. Chinese Academy of Sciences, Beijing, China

    Zhaoxiang Zhang

  2. University of Adelaide, North Terrace, SA, Australia

    David Suter

  3. City College of New York, New York, NY, USA

    Yingli Tian

  4. University of Victoria, Victoria, BC, Canada

    Alexandra Branzan Albu

  5. University of La Rochelle, La Rochelle, France

    Nicolas Sidère

  6. National Institute of Astrophysics, Optics and Electronics, Puebla, Mexico

    Hugo Jair Escalante

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Li, C.Y., Mazzon, R., Cavallaro, A. (2019). An Online Platform for Underwater Image Quality Evaluation. In: Zhang, Z., Suter, D., Tian, Y., Branzan Albu, A., Sidère, N., Jair Escalante, H. (eds) Pattern Recognition and Information Forensics. ICPR 2018. Lecture Notes in Computer Science(), vol 11188. Springer, Cham. https://doi.org/10.1007/978-3-030-05792-3_4

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  • DOI: https://doi.org/10.1007/978-3-030-05792-3_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05791-6

  • Online ISBN: 978-3-030-05792-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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