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Differential Illumination Enhancement Technique for a Nighttime Video

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Artificial Intelligence and Evolutionary Computations in Engineering Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 394))

Abstract

Video surveillance has become a common security need in the present-world scenario. The nighttime video surveillance becomes more challenging due to the presence of extreme illumination conditions, which is not uniform in a frame. Pedestrian detection would be very difficult under such illumination condition. The system proposes a method to identify and segregate the differently illuminated regions with the help of day-time reference image. Various enhancement techniques are applied on these regions separately and the results are combined to obtain the enhanced frame. Results of these techniques are summarized and appropriate methods are suggested for specific cases.

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References

  1. Pallavi, Reecha S. Study of the night time context enhancement algorithms. Int J Sci Mod Eng (IJISME). 2013;1(6). ISSN:2319-6386

    Google Scholar 

  2. Hogervorst MA, Toet A. Method for applying daytime colors to night time imagery in real time. Multisensor, multisource information fusion: architectures, algorithms, and applications. Proc. SPIE 2008;6974-2.

    Google Scholar 

  3. Ubhi JS, Kaur J. Enhancement of context by image fusion. Proc World Congr Eng. 2011;II.

    Google Scholar 

  4. Rao Y, Lin W, Chena L. Image-based fusion for video enhancement of night-time surveillance. Opt Eng 2010;49(12). © SPIE. 120501-1.

    Google Scholar 

  5. Cai Y, Huang K, Tan T, Wang Y. Context enhancement of nighttime surveillance by image fusion. IEEE. 2006.

    Google Scholar 

  6. Singh A, Banga VK. Enhancement of contrast of image using daytime and nighttime image. Int J Electron Commun Eng (IJECE). 2013;2(2):153–160. © IASET. ISSN:2278-9901.

    Google Scholar 

  7. Jing L, Tao Y, Quan P, Yongmei C. Combining scene model and fusion for night video enhancement. J Electron (China). 2009;26(1).

    Google Scholar 

  8. Jin H, Tu L, Deng X. Night image enhancement algorithm based on retinex theory. Int J Adv Comput Technol (IJACT). 2011;3(10).

    Google Scholar 

  9. Gonzalez RC, Woods RE. Digital image processing. Person Prentice Hall.

    Google Scholar 

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Author information

Authors and Affiliations

  1. CSE Department, Amrita Vishwa Vidyapeetham, Amrita Nagar, Ettimadai, Coimbatore, 641112, India

    G. Abirami & S. Padmavathi

Authors
  1. G. Abirami
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  2. S. Padmavathi
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Corresponding author

Correspondence to G. Abirami .

Editor information

Editors and Affiliations

  1. Electrical and Electronics Engineer, SRM Engineering College, Kattankulathur, Tamil Nadu, India

    Subhransu Sekhar Dash

  2. Electrical & Electronics Engineering, Velammal Engineering College, Chennai, Tamil Nadu, India

    M. Arun Bhaskar

  3. Dept Electrical & Electronics Engg, IIT Delhi, New Delhi, India

    Bijaya Ketan Panigrahi

  4. Indian Statistical Institute, Kolkata, India

    Swagatam Das

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© 2016 Springer India

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Cite this paper

Abirami, G., Padmavathi, S. (2016). Differential Illumination Enhancement Technique for a Nighttime Video. In: Dash, S., Bhaskar, M., Panigrahi, B., Das, S. (eds) Artificial Intelligence and Evolutionary Computations in Engineering Systems. Advances in Intelligent Systems and Computing, vol 394. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2656-7_11

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  • DOI: https://doi.org/10.1007/978-81-322-2656-7_11

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2654-3

  • Online ISBN: 978-81-322-2656-7

  • eBook Packages: EngineeringEngineering (R0)

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