Skip to main content
SpringerLink
Log in

A Systematic Review on Image Enhancement Techniques

  • Conference paper
  • First Online:
Sensors and Image Processing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 651))

Abstract

Image enhancement is a very important process used for enhancing the quality of an image, and for this purpose, numerous techniques have been used and applied. This paper describes how to enhance an image using different techniques. Various techniques have been studied for image enhancement used in different research papers. Understanding and reviewing the techniques used for image enhancement are the main goal of this paper. Our review work leaves a lot of future scopes which can be extended further by researchers.

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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. Singh, P.K., Sangwan, O.P., Sharma, A.: A Systematic Review on Fault Based Mutation Testing Techniques and Tools for Aspect-J Programs, published in 3rd IEEE International Advance Computing Conference, IACC-2013 at AKGEC Ghaziabad, IEEE Xplore, pp. 1455–1461, 2013

    Google Scholar 

  2. Singh, P.K., Panda, R.K., Sangwan, O.P.: A Critical Analysis on Software Fault Prediction Techniques, published in World Applied Sciences Journal, Vol. 33, No. 3, pp. 371–379, 2015

    Google Scholar 

  3. Singh, P. K., Agarwal, D., Gupta, A.: A Systematic Review on Software Defect Prediction, published in Computing for Sustainable Global Development (INDIACom), IEEE, pp. 1793–97, 2015

    Google Scholar 

  4. Negi, S.S., Bhandari, Y.S.: A hybrid approach to Image Enhancement using Contrast Stretching on Image Sharpening and the analysis of various cases arising using histogram, published in Recent Advances and Innovations in Engineering (ICRAIE), pp. 1–6, 2014

    Google Scholar 

  5. Wu, C., Liu, Z., Jiang, H.: Catenary image enhancement using wavelet-based contourlet transform with cycle translation, published in Optik-International Journal for Light and Electron Optics, Vol. 125, No. 15, pp. 3922–3925, 2014

    Google Scholar 

  6. Wang, L.J., Huang, Y.C.: Non-linear image enhancement using opportunity costs, published in Second International Conference on Computational Intelligence Communication Systems and Networks (CICSyN), IEEE, pp. 256–261, 2010

    Google Scholar 

  7. Sree, V.K., Rao, P.S.: Hardware implementation of enhancement of retinal fundus image using simulink, published in IEEE Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics (PrimeAsia), pp. 239–244, 2013

    Google Scholar 

  8. Yaping, L., Jinfang, Z., Fanjiang, X., Xv., S.: The recognition and enhancement of traffic sign for the computer-generated image, published in Fourth International Conference on Digital Home (ICDH), pp. 405–410, 2012

    Google Scholar 

  9. Imtiaz, M.S., Khan, T.H., Wahid, K.: New color image enhancement method for endoscopic images, published in International Conference on Advances in Electrical Engineering (ICAEE), IEEE, pp. 263–266, 2013

    Google Scholar 

  10. Premkumar, S., Parthasarathi, K.A.: An efficient approach for colour image enhancement using Discrete Shearlet Transform, published in 2nd International Conference on Current Trends in Engineering and Technology (ICCTET), IEEE, pp. 363–366, 2014

    Google Scholar 

  11. Bhattacharya, S., Gupta, S., Subramanian, V.K.: Localized image enhancement, published in Twentieth National Conference on Communications (NCC), IEEE, pp. 1–6, 2014

    Google Scholar 

  12. Teng, Y., Liu, F., Wu, R.: The Research of Image Detail Enhancement Algorithm with Laplacian Pyramid, published in IEEE International Conference on Green Computing and Communications, pp. 2205–2209, 2013

    Google Scholar 

  13. Wang, X.B.: Image enhancement based on lifting wavelet transform, published in 4th International Conference on Computer Science & Education, IEEE, pp. 739–741, 2009

    Google Scholar 

  14. Munteanu, C., Rosa, A.: Gray-scale image enhancement as an automatic process driven by evolution, published in IEEE Transactions on Systems, Man, and Cybernetics, Vol. 34, No. 2, pp. 1292–1298, 2004

    Google Scholar 

  15. Sun, Y., Yin, X.: Optical transfer function-based micro image enhancement algorithm, published in 2013 IEEE International Conference on Communications Workshops (ICC), pp. 959–963, 2013

    Google Scholar 

  16. Ehsani, S.P., Mousavi, H.S., Khalaj, B.H.: Chromosome image contrast enhancement using adaptive, iterative histogram matching, published in 7th Iranian conference on Machine Vision and Image Processing (MVIP), IEEE, pp. 1–5, 2011

    Google Scholar 

  17. Xiao-Guang, Z., Ding, G., Jian-Jian, X.U.: Generalized fuzzy enhancement of image for radiographic testing weld, published in Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, IEEE, pp. 94–99, 2005

    Google Scholar 

  18. Ke, W.M., Chen, C.R., Chiu, C.T.: BiTA/SWCE: Image enhancement with bilateral tone adjustment and saliency weighted contrast enhancement, published in IEEE Transactions on Circuits and Systems for Video Technology, Vol. 21, No. 3, pp. 360–364, 2011

    Google Scholar 

  19. Tang, J., Sun, Q., Agyepong, K.: An image enhancement algorithm based on a contrast measure in the wavelet domain for screening mammograms, published in IEEE International Conference on Image Processing, Vol. 5, pp. 5–29, IEEE, 2007

    Google Scholar 

  20. Dong-liang, P., An-Ke, X.: Degraded image enhancement with applications in robot vision, published in IEEE International Conference on Systems, Man and Cybernetics, Vol. 2, pp. 1837–1842, IEEE, 2005

    Google Scholar 

  21. Choi, D.H., Jang, I.H., Kim, M.H., Kim, N.C.: Color image enhancement based on single-scale retinex with a JND-based nonlinear filter, published in IEEE International Symposium on Circuits and Systems, IEEE, pp. 3948–3951, 2007

    Google Scholar 

  22. Hasikin, K., Isa, N.A.M.: Enhancement of the low contrast image using fuzzy set theory, published in UKSim 14th International Conference on Computer Modelling and Simulation, IEEE, pp. 371–376, 2012

    Google Scholar 

  23. Xianghong, W., Shi, Y., Xinsheng, X.: An effective method to colour medical image enhancement, published in IEEE/ICME International Conference on Complex Medical Engineering, pp. 874–877, IEEE, 2007

    Google Scholar 

  24. Yang, S., Wang, C., Deng, L.: A new Approach of Image Enhancement Based on Multi-scale Morphological Reconstruction, published in Ninth International Conference on Hybrid Intelligent Systems, Vol. 1, pp. 113–116, IEEE, 2009

    Google Scholar 

  25. Peng, Z., Weiliang, H., Wenjian, L., Zhihui, Z.: The multi-scales nonlinear enhancement method of THz image, published in 2013 IEEE International Conference on Microwave Technology & Computational Electromagnetics (ICMTCE), pp. 341–344, 2013

    Google Scholar 

  26. Gorai, A., Ghosh, A.: Hue-preserving color image enhancement using particle swarm optimization, published in Recent Advances in Intelligent Computational Systems (RAICS), pp. 563–568, IEEE, 2011

    Google Scholar 

  27. Verma, A., Goel, S., Kumar, N.: Gray level enhancement to emphasize less dynamic region within image using genetic algorithm, published in 3rd International conference on Advance Computing Conference (IACC), pp. 1171–1176. IEEE, 2013

    Google Scholar 

  28. Khan, T.M., Khan, M.A., Kong, Y.: Fingerprint image enhancement using multi-scale DDFB based diffusion filters and modified Hong filters, published in Optik-International Journal for Light and Electron Optics Vol. 125, No. 16, pp. 4206–4214, 2014

    Google Scholar 

  29. Raju, G., Nair, M.S.: A fast and efficient color image enhancement method based on fuzzy-logic and histogram, published in AEU-International Journal of electronics and communications, Vol. 68, No. 3, pp. 237–243, 2014

    Google Scholar 

  30. Lin, H., Shi, Z.: Multi-scale retinex improvement for nighttime image enhancement. published in Optik-International Journal for Light and Electron Optics Vol. 125, No. 24, pp. 7143–7148, 2014

    Google Scholar 

  31. Samantaray, S., Bakshi, S., Sa, P.K.: An efficient DoG based fingerprint enhancement scheme, published in Proceedings of the International Conference on Advances in Computing, Communications and Informatics, pp. 547–550. ACM, 2012

    Google Scholar 

  32. Chouhan, R., Jha, R.K., Biswas, P.K.: Wavelet-based contrast enhancement of dark images using dynamic stochastic resonance, published in Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing, pp. 73, ACM, 2012

    Google Scholar 

  33. Akila, K., Jayashree, L.S., Vasuki, A.: Mammographic Image Enhancement Using Indirect Contrast Enhancement Techniques–A Comparative Study, published in Procedia Computer Science Vol. 47, pp. 255–261, 2015

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of CSE, ASET, Amity University Uttar Pradesh, Noida, India

    Nishant Bhardwaj, Gagandeep Kaur & Pradeep Kumar Singh

Authors
  1. Nishant Bhardwaj
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Gagandeep Kaur
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Pradeep Kumar Singh
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Nishant Bhardwaj .

Editor information

Editors and Affiliations

  1. Gautam Buddha University, Greater Noida, Uttar Pradesh, India

    Shabana Urooj

  2. Department of Electrical and Instrumentation Engineering, Thapar University, Patiala, Punjab, India

    Jitendra Virmani

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Cite this paper

Bhardwaj, N., Kaur, G., Singh, P.K. (2018). A Systematic Review on Image Enhancement Techniques. In: Urooj, S., Virmani, J. (eds) Sensors and Image Processing. Advances in Intelligent Systems and Computing, vol 651. Springer, Singapore. https://doi.org/10.1007/978-981-10-6614-6_23

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-6614-6_23

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6613-9

  • Online ISBN: 978-981-10-6614-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation