Skip to main content
SpringerLink
Log in

An Iterative Back-Projection Technique for Single Image Super Resolution with Natural Texture Preservation

  • Conference paper
  • First Online:
Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM 2016)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 416))

  • 1048 Accesses

Abstract

High resolution images obtained from single image super resolution often suffer from excessive smoothness which blurs edges and gives smooth areas an un-natural texture. This paper proposes a super resolution method that combines wavelet super resolution and an edge enhancing back-projection filter to produce a super resolution image with sharp edges and natural texture. The low resolution image is first up-sampled using the discrete wavelet transform. High frequency sub-bands are derived from DWT of a bicubic interpolated low resolution image. The up-sampled image is then subjected to iterative back projection using a back-projection filter based on the Laplacian of Gaussian. The proposed method is tested on RGB colour images. It is found to produce better results than bicubic interpolation and selected edge directed interpolation methods in terms of PSNR and SSIM. It is also found to approximate the edge sharpness of edge directed interpolation while giving a more natural texture in smooth areas. The proposed method also eliminates spurious colours that have been observed in most edge-directed methods.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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. Thevenaz, P., Blu, T., Unser, M.: Image interpolation and resampling. In: Bankman, I. (ed.) Handbook of Medical Imaging, 2nd edn, pp. 465–494. Elsevier/Academic Press, San Diego (2009)

    Google Scholar 

  2. Bagawade, R.P., Bhagawat, K.S., Patil, P.M.: Wavelet transfrom techniques for image resolution enhancement: a study. Int. J. Emerg. Technol. Adv. Eng. 2(4), 167–172 (2012)

    Google Scholar 

  3. Tai, S.-C., Kuo, T.-M., Iao, C.-H., Liao, T.-W.: A fast algorithm for single image super resolution in both wavelet and spatial domain. In: International Symposium on Computer, Consumer and Control, Taichung, Taiwan (2012)

    Google Scholar 

  4. Garg, A., Naidu, S.V., Yahia, H., Singh, D.: Wavelet based resolution enhancement for low resolution satellite images. In: 9th International Conference on Industrial and Information Systems (ICIIS), Gwalior, India (2014)

    Google Scholar 

  5. Ngocho, B.M., Mwangi, E.: Single image super resolution with improved wavelet interpolation and iterative back-projection. IOSR J. VLSI Signal Process. 5(6), 16–24 (2015)

    Google Scholar 

  6. Irani, M., Peleg, S.: Motion analysis for image enhancement: resolution, occlusion and transparency. J. Vis. Commun. Image Represent. 4(4), 324–335 (1993)

    Article  Google Scholar 

  7. Dai, S., Han, M., Wu, Y., Gong, Y.: Bilateral back-projection for single image super resolution. In: IEEE International Conference on Multimedia and Expo, Beijing, July 2007

    Google Scholar 

  8. Wang, J.-T., Liang, K.-W., Chang, S.-F., Chang, P.-C.: Super-resolution image with estimated high frequency compensated algorithm. In: 9th International Symposium on Communications and Information, Icheon, South Korea, 28–30 September 2009

    Google Scholar 

  9. Makwana, R.R., Mehta, N.D.: Single image super-resolution VIA iterative back projection based Canny edge detection and a Gabor filter prior. Int. J. Soft Comput. Eng. 3(1), 2231–2307 (2013)

    Google Scholar 

  10. Bareja, M.N., Modi, C.K.: An improved iterative back projection based single image super resolution approach. Int. J. Image Graph. 14(4), 1450015 (2014)

    Article  MathSciNet  Google Scholar 

  11. Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 3rd edn. Prentice-Hall, Upper Saddle River (2008)

    Google Scholar 

  12. Gunn, S.R.: On the discrete representation of the Laplacian of Gaussian. Pattern Recogn. 32(8), 1463–1472 (1999)

    Article  Google Scholar 

  13. Agrawal, M., Konolige, K., Blas, M.R.: CenSurE: center surround extremas for realtime feature detection and matching. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008. LNCS, vol. 5305, pp. 102–115. Springer, Heidelberg (2008). doi:10.1007/978-3-540-88693-8_8

    Chapter  Google Scholar 

  14. Laguna, R., Barrientos, R., Blazquez, L.F., Miguel, L.J.: Traffic sign recognition application based on image processing techniques. In: 19th Word Congress: The International Federation of Automatic Control, Cape Town, South Africa (2014)

    Google Scholar 

  15. Franzen, R.: Kodak lossless true color image suite. Eastman Kodak, 27 January 2013. http://r0k.us/graphics/kodak/

  16. University of Southern California, Signal and Image Processing Institute. The USC-SIPI Image Database: Version 5, April 2006. http://sipi.usc.edu/database/database.php?volume=aerial

  17. Li, X., Orchard, M.T.: New edge directed interpolation. IEEE Trans. Image Process. 10(10), 1521–1527 (2001)

    Article  Google Scholar 

  18. Zhang, L., Wu, X.: An edge-guided image interpolation algorithm via directional filtering and data fusion. IEEE Trans. Image Process. 15(3), 2226–2238 (2006)

    Article  Google Scholar 

  19. Ngocho, B.M.: Single image super resolution using the wavelet transform and an iterative back-projection technique. Unpublished: M.S. thesis. School of Engineering, University of Nairobi (2016)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Engineering, University of Nairobi, P. O. Box 30197, Nairobi, 00100, Kenya

    Boniface M. Ngocho & Elijah Mwangi

Authors
  1. Boniface M. Ngocho
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Elijah Mwangi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Boniface M. Ngocho .

Editor information

Editors and Affiliations

  1. ACSE, University of Sheffield, Sheffield, United Kingdom

    Peter Fleming

  2. Department of Mechanical Engineering, Indian Institute of Technology, Kanpur, India

    Nalinaksh Vyas

  3. Department of Computer Science, University of Surrey, Guildford, United Kingdom

    Saeid Sanei

  4. Michigan State University, East Lansing, Michigan, USA

    Kalyanmoy Deb

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Ngocho, B.M., Mwangi, E. (2017). An Iterative Back-Projection Technique for Single Image Super Resolution with Natural Texture Preservation. In: Fleming, P., Vyas, N., Sanei, S., Deb, K. (eds) Emerging Trends in Electrical, Electronic and Communications Engineering. ELECOM 2016. Lecture Notes in Electrical Engineering, vol 416. Springer, Cham. https://doi.org/10.1007/978-3-319-52171-8_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-52171-8_18

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52170-1

  • Online ISBN: 978-3-319-52171-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation