Skip to main content

Frequency Domain Directional Filtering Based Rain Streaks Removal from a Single Color Image

  • Conference paper
Intelligent Computing Theory (ICIC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8588))

Included in the following conference series:

Abstract

Bad weather conditions, such as rain or snow, degrade outdoor vision system performance. Rain removal from a single image has been investigated extensively. However, existing built rain streak models are greatly influenced by inaccurate parameter estimation or non-stationary background due to camera motions. In this paper, we propose a rain streak removal algorithm from a single color image based on frequency-domain directional filter. Experiment results demonstrate that the proposed algorithm can deal with rain steaks of any directions, and maintains more details than existing algorithms.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Dalal, N., Triggs, B.: Histograms of Oriented Gradients for Human Detection. In: Proceedings of International Conference on Computer Vision and Pattern Recognition, San Diego, CA, vol. 1, pp. 886–893 (2005)

    Google Scholar 

  2. Lowe, D.G.: Distinctive Image Features from Scale-invariant Keypoints. International Journal of Computer Vision 60(2), 91–110 (2004)

    Article  Google Scholar 

  3. Tripathi, A.K., Mukhopadhyay, S.: Removal of Rain from Videos: a Review. Signal, Image and Video Processing (2012)

    Google Scholar 

  4. Garg, K., Nayar, S.K.: Detection and Removal of Rain from Videos. In: Proceedings of International Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 528–535 (2004)

    Google Scholar 

  5. Garg, K., Nayar, S.K.: When does a camera see rain? International Journal of Computer Vision 2, 1067–1074 (2005)

    Google Scholar 

  6. Zhang, X., Li, H., Qi, Y., Leow, W.K., Ng, T.K.: Rain Removal in Video by Combining Temporal and Chromatic Properties. In: Proceedings of International Conference on Multimedia & Expo, Toronto, ON, Canada, pp. 461–464 (2006)

    Google Scholar 

  7. Brewer, N., Liu, N.: Using the Shape Characteristics of Rain to Identify and Remove Rain from Video. In: da Vitoria Lobo, N., Kasparis, T., Roli, F., Kwok, J.T., Georgiopoulos, M., Anagnostopoulos, G.C., Loog, M. (eds.) S+SSPR 2008. LNCS, vol. 5342, pp. 451–458. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  8. Barnum, P.C., Narasimhan, S., Kanade, T.: Analysis of rain and snow in frequency space. International Journal of Computer Vision 86(2/3), 256–274 (2010)

    Article  Google Scholar 

  9. Bossu, J., Hautière, N., Tarel, J.P.: Rain or Snow Detection in Image Sequences through Use of a Histogram of Orientation of Streaks. International Journal of Computer Vision 93(3), 348–367 (2011)

    Article  Google Scholar 

  10. Kang, L., Lin, C., Fu, Y.: Automatic Single-Image-Based Rain Streaks Removal via Image Decomposition. IEEE Transactions on Image Processing 21(4), 1743–1755 (2012)

    MathSciNet  Google Scholar 

  11. McClellan, J.M.: The Design of 2-D Digital Filters by Transformations. In: Proceedings of 7th Princeton Conference on Information and Systems, pp. 247–251 (1973)

    Google Scholar 

  12. Shyu, J.J., Pei, S.C., Huang, Y.D.: Design of Variable Two-dimensional FIR Digital Filters by McClellan Transformation. IEEE Transactions on Circuits and Systems 56(3), 574–582 (2009)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Liu, C., Pang, Y., Wang, J., Yang, A., Pan, J. (2014). Frequency Domain Directional Filtering Based Rain Streaks Removal from a Single Color Image. In: Huang, DS., Bevilacqua, V., Premaratne, P. (eds) Intelligent Computing Theory. ICIC 2014. Lecture Notes in Computer Science, vol 8588. Springer, Cham. https://doi.org/10.1007/978-3-319-09333-8_45

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-09333-8_45

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09332-1

  • Online ISBN: 978-3-319-09333-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics