Skip to main content
SpringerLink
Log in

Enhancement Methods for Low Visibility and Fog Degraded Images

  • Conference paper
  • First Online:
Advanced Informatics for Computing Research (ICAICR 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 955))

Abstract

Image processing methods are widely used to improvise the quality of an image to extract the hidden information in it. Phenomena of scattering and atmosphere absorption results inhaze smoke and fog. Weather conditions majorly influence the visual system as well as detection and identification of the targets and degrade the picture quality. In the previous year, researchers have been focused on the high-quality images or videos for enhancement as well as to detect objects. In this paper, we have reviewed previous papers and compare based on used techniques and performance parameters.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Russ, J.C.: The Image Processing Handbook. CRC Press (2016)

    Google Scholar 

  2. Alsayem, H.A., Kadah, Y.M.: Image Restoration Techniques in Super-Resolution Reconstruction of MRI Images (2016). IEEE. 978-1-4673-9652-3/16

    Google Scholar 

  3. Ručka, L., Peterlík, I.: Fast reconstruction of image deformation field using radial basis function. In: IEEE 14th International Symposium on (2017). https://doi.org/10.1109/isbi.2017.7950719

  4. Thakur, R.K., Saravanan, C.: Classification of colour hazy images. In: International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), pp. 2159–2163. IEEE, Mar 2016

    Google Scholar 

  5. Schaefer, S., McPhail, T., Warren, J.: Image deformation using moving least squares. ACM Trans. Graph. (TOG) 25(3), 533–540 (2006)

    Google Scholar 

  6. Sangeetha, N., Anusudha, K.: Image defogging using enhancement techniques. In: 2017 International Conference on Computer, Communication and Signal Processing (ICCCSP), pp. 1–5. IEEE, Jan 2017

    Google Scholar 

  7. Choo, H., Franconeri, S.L.: Objects with reduced visibility still contribute to size averaging. Atten. Percept. Psychophys. 72(1), 86–99 (2010)

    Article  Google Scholar 

  8. Hurtós, N., Ribas, D., Cufí, X., Petillot, Y., Salvi, J.: Fourier-based registration for robust forward-looking sonar mosaicing in low-visibility underwater environments. J. Field Robot. 32(1), 123–151 (2015)

    Article  Google Scholar 

  9. Lin, Z., Murray, S.O.: Automaticity of unconscious response inhibition: Comment on Chiu and Aron (2014) (2015)

    Google Scholar 

  10. Van Damme, T.: Computer vision photogrammetry for underwater archaeological site recording in a low-visibility environment. Int. Arch. Photogram. Remote Sens. Spat. Inf. Sci. 40(5), 231 (2015)

    Article  Google Scholar 

  11. Maini, R., Aggarwal, H.: A comprehensive review of image enhancement techniques (2010). arXiv preprint arXiv:1003.4053

  12. Sawant, H.K., Deore, M.: A comprehensive review of image enhancement techniques. Int. J. Comput. Technol. Electron. Eng. (IJCTEE) 1(2), 39–44 (2010)

    Google Scholar 

  13. LeCun, Y., Bengio, Y., Hinton, G.: Deep Learning. Nature 521(7553), 436 (2015)

    Google Scholar 

  14. Kaur, A., Kaur, R., Kumar, N.: A review on image steganography techniques. Int. J. Comput. Appl. 123(4) (2015)

    Google Scholar 

  15. Tiwari, A., Yadav, S.R., Mittal, N.K.: A review on different image steganography techniques. Int. J. Eng. Innov. Technol. (IJEIT) 3, 19–23 (2014)

    Google Scholar 

  16. Chitradevi, B., Srimathi, P.: An overview on image processing techniques. Int. J. Innov. Res. Comput. Commun. Eng. (IJIRCCE) 2(11) (2014)

    Google Scholar 

  17. https://www.engineersgarage.com/articles/image-processing-tutorial-applications

  18. Gupta, V., Lehal, G.S.: A survey of text mining techniques and applications. J. Emerg. Technol. web Intell. 1(1), 60–76 (2009)

    Google Scholar 

  19. Tang, X., Liu, K., Cui, J., Wen, F., Wang, X.: Intentsearch: capturing user intention for one-click internet image search. IEEE Trans. Pattern Anal. Mach. Intell. 34(7), 1342–1353 (2012)

    Article  Google Scholar 

  20. Nehru, E.I., Mala, T.: Automatic e-content generation. In: Conference Papers Conference Papers, p. 109, Sept 2009

    Google Scholar 

  21. Introduction to the Image Processing. https://www.engineersgarage.com/articles/image-processing-tutorial-applications

  22. Maru, M., Parikh, M.C.: Image restoration techniques: a survey. Int. J. Comput. Appl. 160(6) (2017) (0975–8887)

    Google Scholar 

  23. Hu, Y., Xu, Y.: An image restoration method based on cross-correlation. In: 2017 6th International Conference on Computer Science and Network Technology (ICCSNT). IEEE (2017)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of CSE, Thapar University, Patiala, India

    Gurveer Singh & Ashima Singh

Authors
  1. Gurveer Singh
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ashima Singh
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Gurveer Singh .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Maharshi Dayanand University, Rohtak, Haryana, India

    Ashish Kumar Luhach

  2. Namibia University of Science and Technology, Windhoek, Namibia

    Dharm Singh

  3. National Chung Cheng University, Minxiong Township, Chiayi County, Taiwan

    Pao-Ann Hsiung

  4. Electrical and Electronics Engineering, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia

    Kamarul Bin Ghazali Hawari

  5. Saint Mary's University, Halifax, NS, Canada

    Pawan Lingras

  6. Department of Computer Science and Engineering, Jaypee University of Information Technology, Kandaghat, India

    Pradeep Kumar Singh

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Singh, G., Singh, A. (2019). Enhancement Methods for Low Visibility and Fog Degraded Images. In: Luhach, A., Singh, D., Hsiung, PA., Hawari, K., Lingras, P., Singh, P. (eds) Advanced Informatics for Computing Research. ICAICR 2018. Communications in Computer and Information Science, vol 955. Springer, Singapore. https://doi.org/10.1007/978-981-13-3140-4_44

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-3140-4_44

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-3139-8

  • Online ISBN: 978-981-13-3140-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation