Comparative study of image enhancement techniques using histogram equalization on degraded images

  • Authors

    • Shalika Arora
    • Megha Agarwal
    • Veepin kumar
    • Divya Gupta
  • Image Enhancement, Image Histogram, Histogram Equalization (HE), Contrast Limited Adaptive Histogram Equalization (CLAHE).
  • Image Enhancement technique plays a vital role in digital image processing for making an image to be useful for various applications. This technique is used to improve the quality of degraded images.Usually, the degradation is not evenly spread throughout the image, but most of the time it varies from region to region. Our aim is to first identify the region where enhancement is required and improve that region without disturbing its neighbourhood which does not require any improvement.


  • References

    1. [1] Rashmi Choudhary and SushoptiGawade, “Survey on Image Contrast Enhancement Techniquesâ€, International Journal of Innovative Studies in Sciences and Engineering Technology (IJISSET), Volume 2, Issue 3, March 2016,pp.21-25.

      [2] Senthilkumaran N and VaithegiS,“Image Segmentation by using Thresholding techniques for medical imagesâ€, Computer Science & Engineering: An International Journal (CSEIJ), Vol.6, No.1, February 2016,pp.1-13.

      [3] Sangeeta Rani, Ashwini Kumar and Kuldeep Singh,“Illumination based Sub Image Histogram Equalization: A Novel Method of Image Contrast Enhancement, International Journal of Computer Applications (0975 – 8887) Volume 119, No.20, June 2015,pp.14-19.

      [4] Rima Deb, Dipali Sengupta, Rupasree Das, Subhankar Mahajan and Sanjoy Mitra“Development of an Image Enhancement Method and a GUIâ€, , International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.8, No.6, 2015,pp.227-234.

      [5] S.S. Bedi and Rati Khandelwal, “Various Image Enhancement Techniques - A Critical Reviewâ€, International Journal of Advanced Research in Computer and Communication Engineering Vol. 2, Issue 3, March 2013,pp.1605-1609.

      [6] Ms. Seema Rajput and Prof. S. R. Suralkar, “Comparative Study of Image Enhancement Techniquesâ€, International Journal of Computer Science and Mobile Computing Vol. 2, Issue. 1, January 2013,pp.11-21.

      [7] Ms. K.T.Chalekar and Prof T. Yengantiwar, “Review paper on image contrast enhancement techniquesâ€,International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 3 Issue 3, March 2014,pp.909-911.

      [8] Rafael C. Gonzalez (University of Tennessee), Richard E. Woods (MedData Interactive) and Steven L. Eddins (The MathWorks, Inc.), in ‘Digital Image Processing Using MATLAB’ Second Edition,2009 by Gatesmark, LLC.

      [9] Arunkumar, T.S. Sivakumaran, K. Ramash Kumar, “Improved Performance of Linear Quadratic Regulator plus Fuzzy Logic Controller for Positive Output Super Lift Luo-Converter,†Journal of Electrical Engineering, Vol. 16, Edition:3, 2016, pp. 397-408.

      [10] Harikishore Kakarla, Madhavi Latha M and Habibulla Khan, “Transition Optimization in Fault Free Memory Application Using Bus-Align Modeâ€, European Journal of Scientific Research, Vol.112, No.2, pp.237-245, ISSN: 1450-216x135/1450-202x, October 2013.

      [11] T. Padmapriya, V.Saminadan, “Performance Improvement in long term Evolution-advanced network using multiple imput multiple output techniqueâ€, Journal of Advanced Research in Dynamical and Control Systems, Vol. 9, Sp-6, pp: 990-1010, 2017.

      [12] S.V.Manikanthan and D.Sugandhi “ Interference Alignment Techniques For Mimo Multicell Based On Relay Interference Broadcast Channel †International Journal of Emerging Technology in Computer Science & Electronics (IJETCSE) ISSN: 0976-1353 Volume- 7 ,Issue 1 –MARCH 2014.

  • Downloads

  • How to Cite

    Arora, S., Agarwal, M., kumar, V., & Gupta, D. (2018). Comparative study of image enhancement techniques using histogram equalization on degraded images. International Journal of Engineering & Technology, 7(2.8), 468-471.