Nothing Special   »   [go: up one dir, main page]
Skip to main content
Springer Nature Link
Log in

Image contrast enhancement using unsharp masking and histogram equalization

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

Contrast enhancement and Mean brightness conservation are two important parameters of image enhancement. A high contrast image is good in subjective quality assessment but also high contrast may cause over or under enhancement in the enhanced image. In this paper a new unsharp mask filtering technique with the combination of histogram equalization is used for the general-purpose images which maximizes the entropy of the image as well as controls the over and under enhancement by clipping the histogram of the image. After rigorous experimentation on standard data-set, it is observed that the information present in the image is highest in the proposed method i.e. the entropy value is highest and the mean brightness is also comparable with the other histogram based image enhancement methods. Mean opinion score(MOS) result shows that visual quality of the image is also better than existing methods.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19

Similar content being viewed by others

References

  1. Chen S D, Ramli A R (2003) Minimum mean brightness error bi-histogram equalization in contrast enhancement. IEEE Trans Consum Electron 49(4):1310–1319

    Article  Google Scholar 

  2. Gonzalez R C, Woods R E (2008) Digital image processing, 3rd edn. Prentice Hall, Englewood Cliffs

    Google Scholar 

  3. Huang S-C, Cheng F-C, Chiu Y-S (2013) Efficient contrast enhancement using adaptive gamma correction with weighting distribution. IEEE Trans Image Process 22 (4):1032–1041

    Article  MathSciNet  Google Scholar 

  4. Kapoor R, Singh K (2014) Image enhancement via median-mean based sub-image clipped histogram equalization. Optik 125:4646–4651

    Article  Google Scholar 

  5. Kaur M, Kaur J, Kaur J (2011) Survey of contrast enhancement techniques based on histogram equalization. Int J Adv Comput Sci Appl (IJACSA) 2(7):137–141

    MATH  Google Scholar 

  6. Kim Y T (1997) Contrast enhancement using brightness preserving bi-histogram equalization. IEEE Trans Consum Electron 43(1):1–8

    Article  Google Scholar 

  7. Kim M, Chung M G (2008) Recursively separated and weighted histogram equalization for brightness preservation and contrast enhancement. IEEE Trans Consum Electron 54(3):1389–1397

    Article  Google Scholar 

  8. Kotera H, Wang H (2005) Multiscale image sharpening adaptive to edge profile. J Electron Imaging 14(1)

  9. Moon T K, Stirling W C (2000) Mathematical methods and algorithms for signal processing. Prentice-Hall, Upper Saddle River

    Google Scholar 

  10. Nithyananda C R, Ramachandra A C, Preethi (2016) Survey on histogram equalization method based image enhancement techniques. In: IEEE international conference on data mining and advanced computing (SAPIENCE)

  11. Parihar A S, Verma O P (2016) Contrast enhancement using entropy-based dynamic sub-histogram equalization. IET Image Process 10(11):799–808

    Article  Google Scholar 

  12. Ramponi G (1998) A rational unsharp masking technique. J Electron Imaging 7 (2):333–338

    Article  Google Scholar 

  13. Ritika, Kaur S (2013) Contrast enhancement techniques for images. Int J Comput Appl 64(17):20–25

    Google Scholar 

  14. Sim K S, Tso C P, Tan Y Y (2007) Recursive sub-image histogram equalization applied to gray scale images. Pattern Recogn Lett 28:1209–1221

    Article  Google Scholar 

  15. Singh K, Kapoor R (2014) Image enhancement using exposure based sub image histogram equalization. Pattern Recogn Lett 36:10–14

    Article  Google Scholar 

  16. Singh K, Kapoor R, Sinha S K (2015) Enhancement of low exposure images via recursive histogram equalization algorithms. Optik 126:2619–2625

    Article  Google Scholar 

  17. Spring K, Russ J C, Mathew J, Hill P, Fellers T, Davidson MW (2016) Unsharp mask filtering. In: Interactive tutorials-optical microscopy primer

  18. Sridhar S (2011) Digital image processing. Oxford University press, Oxford

    Google Scholar 

  19. Stark J A (2000) Adaptive image contrast enhancement using generalizations of histogram equalization. IEEE Trans Image Process 9(5):889–896

    Article  Google Scholar 

  20. Wang Y, Chen Q, Zhang B (1999) Image enhancement based on equal area dualistic sub-image histogram equalization method. IEEE Trans Consum Electron 45 (1):68–75

    Article  Google Scholar 

  21. Zimmerman JB, Pizer SM, Staab EV, Perry JR, McCartney W, Brenton BC (1988) An evaluation of the effectiveness of adaptive histogram equalization for contrast enhancement. IEEE Trans Med Imaging 7(4):304–312

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by Dept. of Electronics and Communication Engineering, NIT Delhi

Author information

Authors and Affiliations

  1. National Institute of Technology, Delhi, 110040, India

    Shubhi Kansal, Shikha Purwar & Rajiv Kumar Tripathi

Authors
  1. Shubhi Kansal
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Shikha Purwar
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Rajiv Kumar Tripathi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Shubhi Kansal.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kansal, S., Purwar, S. & Tripathi, R.K. Image contrast enhancement using unsharp masking and histogram equalization. Multimed Tools Appl 77, 26919–26938 (2018). https://doi.org/10.1007/s11042-018-5894-8

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-018-5894-8

Keywords

Search

Navigation