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Information Systems Design and Intelligent Applications pp 475–485Cite as

Comprehensive Review of Video Enhancement Algorithms for Low Lighting Conditions

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 435))

Abstract

Video enhancement becomes a very challenging problem under low lighting conditions. Numerous techniques for enhancing visual quality of videos/images captured under different environmental situations are proposed by number of researchers especially in dark or night time, foggy situations, rainy and so on. This paper discusses brief review of existing algorithms related to video enhancement techniques under various lighting condition such as De-hazing based enhancement algorithm, a novel integrated algorithm, gradient based fusion algorithm and dark channel prior and in addition it also presents advantages and disadvantages of these algorithms.

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Author information

Authors and Affiliations

  1. Department of Electronics & Communication Engineering, Dayananda Sagar College of Engineering, Bangalore, India

    G. R. Vishalakshi

  2. Department of Computer Science Engineering, Kammavar Sangam School of Engineering & Management, Bangalore, India

    M. T. Gopalakrishna

  3. Department of Electronics & Communication Engineering, BMS Institute of Technology & Management, Bangalore, India

    M. C. Hanumantharaju

Authors
  1. G. R. Vishalakshi
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  2. M. T. Gopalakrishna
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  3. M. C. Hanumantharaju
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Corresponding author

Correspondence to M. C. Hanumantharaju .

Editor information

Editors and Affiliations

  1. Department of Computer Science Engineering, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, India

    Suresh Chandra Satapathy

  2. Kalyani University, Nadia, West Bengal, India

    Jyotsna Kumar Mandal

  3. University of Hyderabad, Hyderabad, India

    Siba K. Udgata

  4. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

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© 2016 Springer India

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Vishalakshi, G.R., Gopalakrishna, M.T., Hanumantharaju, M.C. (2016). Comprehensive Review of Video Enhancement Algorithms for Low Lighting Conditions. In: Satapathy, S., Mandal, J., Udgata, S., Bhateja, V. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 435. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2757-1_47

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  • DOI: https://doi.org/10.1007/978-81-322-2757-1_47

  • Published:

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2756-4

  • Online ISBN: 978-81-322-2757-1

  • eBook Packages: EngineeringEngineering (R0)

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