Advertisement

Multimedia Tools and Applications

, Volume 77, Issue 2, pp 2467–2484 | Cite as

Joint optimization and perceptual boosting of global and local contrast for efficient contrast enhancement

  • Zhigang LingEmail author
  • Guoliang Fan
  • Yan Liang
  • Junyi Zuo
Article

Abstract

Contrast enhancement which aims to increase the contrast of an image with low dynamic range, has been widely studied and exploited. In spite of the great success of many contrast enhancement algorithms, they still have difficulty in achieving both global and local contrast enhancement so that some over-enhancement, under-enhancement or even halo artifacts are often produced in complex images. This paper proposes a simple but efficient contrast enhancement method which may achieve both global and local contrast enhancement and perceptually suppress the above-mentioned problems. A cost function integrating global enhancement with local contrast enhancement is firstly constructed to pose image enhancement as an optimization problem. Then, two key steps are involved in solving for an optimal solution, the just-noticeable difference (JND) model is introduced to perceptually determine maximum local gains and neighbouring gray-level difference for local and global contrast enhancement, respectively, and an adaptive parameter regularization method is invoked to further suppress over-enhancement and halo artifacts. The experimental results on many images both qualitatively and quantitatively demonstrate our algorithm can robustly provide better visual quality in global and local contrast compared to a selection of other well-known state-of-the-art algorithms.

Keywords

Contrast enhancement Joint optimization of local and global contrast Perceptual contrast boosting Just-noticeable difference Adaptive parameter regularization 

Notes

Acknowledgments

This work was supported by National Natural Science Foundation of China (Grant No. 61471166, 61473227 and 61374023) and Natural Science Foundation of Hunan Province (CN) (14JJ2052).

References

  1. 1.
    Arici T, Dikbas S, Altunbasak Y (2009) A histogram modification framework and its application for image contrast enhancement. IEEE Trans Image Process 18(9):1921–1935MathSciNetCrossRefzbMATHGoogle Scholar
  2. 2.
    Celik T, Tjahjadi A (2012) Automatic image equalization and contrast enhancement using gaussian mixture modeling. IEEE Trans Image Process 21(1):145–156MathSciNetCrossRefzbMATHGoogle Scholar
  3. 3.
    Chen S-D, Abd Ramli R (2003) Minimum mean brightness error bi-histogram equalization in contrast enhancement. IEEE Trans Cons Electron 49(4):1310–1319CrossRefGoogle Scholar
  4. 4.
    Chen S-D, Abd Ramli R (2003) Contrast enhancement using recursive meanseparate histogram equalization for scalable brightness preservation. IEEE Trans Cons Electron 49(4):1301–1309CrossRefGoogle Scholar
  5. 5.
    Chun-Ming T (2013) Adaptive local power-law transformation for color image enhancement. Appl Math Inf Sci 7(5):2019–2026MathSciNetCrossRefGoogle Scholar
  6. 6.
    Chou C-H, Li Y-C (1995) A perceptually tuned subband image coder based on the measure of just-noticeable-distortion profile. IEEE Trans Circ Syst Vid Technol 5(6):467–476CrossRefGoogle Scholar
  7. 7.
    Corchs S, Gasparini F (2011) Enhancing underexposed images preserving the original mood. Third Int Workshop Comput Color Imaging, Milan, Italy 6626:125–136CrossRefGoogle Scholar
  8. 8.
    Eunsung Lee, Kim S, Kang W, Seo D, Paik J (2013) Contrast enhancement using dominant brightness level analysis and adaptive intensity transformation for remote sensing images. IEEE Geosci Remote Sens Lett 10(1):62–66CrossRefGoogle Scholar
  9. 9.
    Fu X, Liao Y, Zeng D, Huang Y, Zhang X, Ding X (2015) A probabilistic method for image enhancement with simultaneous illumination and reflectance estimation. IEEE Trans Image Process 24(9):4965–4977MathSciNetCrossRefGoogle Scholar
  10. 10.
    Ghimire D, Lee J (2011) Nonlinear transfer function-based local approach for color image enhancement. IEEE Trans Cons Electron 57(2):858–865CrossRefGoogle Scholar
  11. 11.
    Gonzalez RC, Woods RE (2006) Digital Image Processing, 3rd edn. Prentice-Hall Inc., NJ, USAGoogle Scholar
  12. 12.
    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(3):1032–1041MathSciNetCrossRefzbMATHGoogle Scholar
  13. 13.
    Ilie A, Raskar R, Yu J (2005) Gradient domain context enhancement for fixed cameras. Int J Pattern Recogn Artif Intell 19(4):533–549CrossRefGoogle Scholar
  14. 14.
    Jang I-S, Lee T-H, Ha H-G, Ha Y-Ho (2010) Adaptive color enhancement based on multi-scaled Retinex using local contrast of the input image. IEEE Trans Image Process 21(9):1–6Google Scholar
  15. 15.
    Jae HJ, Yoonsung B, Jong BR (2012) Contrast-enhanced fusion of multisensor images using subband-decomposed multiscale retinex. IEEE Trans Image Process 21(8):3479–3490MathSciNetCrossRefzbMATHGoogle Scholar
  16. 16.
    Jenifer S, Parasuraman S, Kadirvelu A (2016) Contrast enhancement and brightness preserving of digital mammograms using fuzzy clipped contrast-limited adaptive histogram equalization algorithm. Appl Soft Comput 42:167–177CrossRefGoogle Scholar
  17. 17.
    Jobson DJ, Rahman Z-U, Woodel GA (1997) A multiscale retinex for bridging the gap between color images and the human observation of scenes. IEEE Trans Image Process 6(7):965–976CrossRefGoogle Scholar
  18. 18.
    Karel Z (1994) Contrast limited adaptive histogram equalization. Academic Press Professional. Inc., CA, USAGoogle Scholar
  19. 19.
    Kim Y-T (1997) Contrast enhancement using brightness preserving bi-histogram equalization. IEEE Trans Consum Electron 43(1):1–8CrossRefGoogle Scholar
  20. 20.
    Kim SE, Jeon JJ, Eom IK (2016) Image contrast enhancement using entropy scaling in wavelet domain. Signal Process 127:1–11CrossRefGoogle Scholar
  21. 21.
  22. 22.
    Land EH, Mccann JJ (1971) Lightness and Retinex theory. J Opt Soc Am 61(1):1–11CrossRefGoogle Scholar
  23. 23.
    Lee C-H, Lin P-Y, Chen L-H, Wang W-K (2012) Image enhancement approach using the just-noticeable-difference model of the human visual system. J Electron Imaging 21(6):0330071–13Google Scholar
  24. 24.
    Mila N, Wen Y-W (2012) Exact histogram specification for digital images using a variational approach. J Math Imaging Vis 46(3):309–325MathSciNetzbMATHGoogle Scholar
  25. 25.
    Mukhopadhyay J, Mitra SK (2008) Color enhancement in the compressed domain The 5th IEEE International Conference on Image Processing, CA, USA, pp 3144–3147Google Scholar
  26. 26.
    Nam Y-O, Choi D-Y, Song BC (2014) Power-constrained contrast enhancement algorithm using multiscale Retinex for oLED display. IEEE Trans Image Process 23(8):3308–3320MathSciNetCrossRefzbMATHGoogle Scholar
  27. 27.
    Pei S-C, Shen C-T, Lee T-Y (2012) Visual enhancement using constrained L0 gradient image decomposition for low backlight displays, IEEE Signal Processing Letter, vol 19(12)Google Scholar
  28. 28.
    Polesel A, Ramponi G, Mathews VJ (2000) Image enhancement via adaptive unsharp masking. IEEE Trans Image Process 9(3):505–510CrossRefGoogle Scholar
  29. 29.
    Raimondo S, Francesca G, Silvia C, Fabrizio M (2010) Contrast image correction method. J Electron Imaging 19(2):0230051–02300511Google Scholar
  30. 30.
    Rao Y, Chen L (2012) A survey of video enhancement techniques. J Inf Hiding Multimed Signal Process 3(1):71–99Google Scholar
  31. 31.
    Rahman ZU, Jobson DJ, Woodell GA (2014) Retinex processing for automatic image enhancement. J Electron Imaging 13(1):100–110Google Scholar
  32. 32.
    Rao Y, Lin W, Chen L (2010) Image-based fusion for video enhancement of night-time surveillance. Opt Eng Lett 49(2):1205011–1205013Google Scholar
  33. 33.
    Rivera AR, Ryu B, Chae O (2012) Content-aware dark image enhancement through channel division. IEEE Trans Image Process 21(9):3967–3980MathSciNetCrossRefzbMATHGoogle Scholar
  34. 34.
    Shanmugavadivu P, Balasubramanian K (2014) Particle swarm optimized multi-objective histogram equalization for image enhancement. Opt Laser Technol 57:243–251CrossRefGoogle Scholar
  35. 35.
    Saibabu A, Vijayan AK (2006) An adaptive and non linear technique for enhancement of extremely high contrast images. The 35th IEEE Applied Imagery and Pattern Recognition Workshop(AIPR), Washington, DCGoogle Scholar
  36. 36.
    Saruchi (2012) Adaptive sigmoid function to enhance low contrast images. Int J Comput Appl 55(4):45–49Google Scholar
  37. 37.
    Turgay C (2014) Two-dimensional histogram equalization and contrast enhancement. Pattern Recogn 45(10):3810–3824Google Scholar
  38. 38.
  39. 39.
    Wang Y, Chen Q, Zhang B (1999) Image enhancement based on equal area dualistic sub-image histogram equalization method. IEEE Trans Cons Electron 45 (1):68–75CrossRefGoogle Scholar
  40. 40.
    Zhen J, Hongcheng W, Caballero R, Ziyou X, Jianwei Z, Finn A (2011) A two-step approach to see-through bad weather for surveillance video quality enhancement. IEEE International Conference on Robotics and Automation (ICRA), 5309–5314Google Scholar
  41. 41.
    Zhengguo L, Jinghong Z, Zijian Z, Wei Y, Shiqian W (2005) Weighted guided image filtering. IEEE Trans Image Process 24(1):120–129MathSciNetCrossRefGoogle Scholar
  42. 42.
    Zhetong L, Weijian L, Ruohe Y (2016) Contrast enhancement by nonlinear diffusion filtering. IEEE Trans Image Process 673-686:25MathSciNetGoogle Scholar
  43. 43.
    Zhigang Z, Nong S, Xinrong H (2014) Global brightness and local contrast adaptive enhancement for low illumination color image. Optik-Int J Light Electron Opt 125(6):1795–1799CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  • Zhigang Ling
    • 1
    Email author
  • Guoliang Fan
    • 2
  • Yan Liang
    • 3
  • Junyi Zuo
    • 4
  1. 1.College of Electrical and Information EngineeringHunan UniversityChangshaChina
  2. 2.School of Electrical and Computer EngineeringOklahoma State UniversityStillwaterUSA
  3. 3.School of AutomationNorthwestern Polytechnical UniversityXi’anChina
  4. 4.School of AstronauticsNorthwestern Polytechnical UniversityXi’anChina

Personalised recommendations