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Histogram Based Image Enhancement Techniques: A Survey

P. Gupta1 , J.S. Kumare2 , U.P. Singh3 , R.K. Singh4

  1. Department of CSE and IT, Madhav Institute of Technology and Science, Gwalior, India.
  2. Department of CSE and IT, Madhav Institute of Technology and Science, Gwalior, India.
  3. Department of Applied Science, Madhav Institute of Technology and Science, Gwalior, India.
  4. Department of CSE and IT, Madhav Institute of Technology and Science, Gwalior, India.

Correspondence should be addressed to: guptapriya071@gmail.com.

Section:Survey Paper, Product Type: Journal Paper
Volume-5 , Issue-6 , Page no. 177-182, Jun-2017

Online published on Jun 30, 2017

Copyright © P. Gupta, J.S. Kumare, U.P. Singh, R.K. Singh . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: P. Gupta, J.S. Kumare, U.P. Singh, R.K. Singh, “Histogram Based Image Enhancement Techniques: A Survey,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.6, pp.177-182, 2017.

MLA Style Citation: P. Gupta, J.S. Kumare, U.P. Singh, R.K. Singh "Histogram Based Image Enhancement Techniques: A Survey." International Journal of Computer Sciences and Engineering 5.6 (2017): 177-182.

APA Style Citation: P. Gupta, J.S. Kumare, U.P. Singh, R.K. Singh, (2017). Histogram Based Image Enhancement Techniques: A Survey. International Journal of Computer Sciences and Engineering, 5(6), 177-182.

BibTex Style Citation:
@article{Gupta_2017,
author = {P. Gupta, J.S. Kumare, U.P. Singh, R.K. Singh},
title = {Histogram Based Image Enhancement Techniques: A Survey},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2017},
volume = {5},
Issue = {6},
month = {6},
year = {2017},
issn = {2347-2693},
pages = {177-182},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1322},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1322
TI - Histogram Based Image Enhancement Techniques: A Survey
T2 - International Journal of Computer Sciences and Engineering
AU - P. Gupta, J.S. Kumare, U.P. Singh, R.K. Singh
PY - 2017
DA - 2017/06/30
PB - IJCSE, Indore, INDIA
SP - 177-182
IS - 6
VL - 5
SN - 2347-2693
ER -

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Abstract

Image enhancement is a digital processing technique which does its best to get a better image. It is a simple and most engaging range in image processing. Image enhancement is a process by which we got an improved and high-quality image through the low contrast and low-quality image. Image Contrast enhancement without disturbing other parameters of the image is one of the difficult tasks in image. This paper focused on several enhancement techniques that deal with contrast of image. Image enhancement dealt with improvement in the appearance and quality of the given image without losing the information of the image. This paper includes several approaches of image enhancement these approaches are used for improving the given image which incorporates manipulation of gray scale, Histogram Equalization (HE) and Filtering. HE is the basic method of image enhancement. All the techniques presented by this study is simulated on Intel I3 64 bit processor using MATLAB R2013b. For quality measurement of contrast enhanced image Peak to signal noise ratio and Mean Square Error parameter for each of the methods is additionally computed.

Key-Words / Index Term

Image Enhancement, Histogram, Histogram Equalization, Brightness Preserving Bi Histogram Equalization, Brightness Preserving Dynamic Histogram Equalization.

References

[1] R. C. Gonzalez, and R. E. Woods “Digital Image Processing” Second Edition Prentice Hall.2002.
[2] S Jayaraman, S Esakkirajan, and T Veerakumar “Digital Image Processing” Tata McGraw- Hill Education Pvt.Ltd.
[3] V.A. Kotkar and S. S. Gharde., “review of various image contrast enhancement techniques” International Journal of Innovative Research in Science, Engineering and Technology Vol. 2, Issue 7, July 2013.
[4] M. Kaur, J. Kaur, J. Kaur, “Survey of Contrast Enhancement Techniques based on Histogram Equalization”, (IJACSA)
International Journal of Advanced Computer Science and
Applications, Vol. 2, No. 7, 2011.
[5] J.Y. Kim, L. K., and Hwang, S. “An advanced contrast
enhancement using partially overlapped sub-block histogram equalization”, IEEE Transactions on Circuits and Systems for Video Technology, 475–484, 2001
[6] Celik, T., and Tjahjadi, T. “Automatic image equalization and contrast enhancement using Gaussian mixture modeling”, IEEE Trans. Image Process. Vol. 21, no 1, pp. 145–156, 2012.
[7] Kim Y., “contrast enhancement using brightness preserving Bi-Histogram equalization”, IEEE Trans. Consumer Electronics, vol. 43, no. 1, pp. 1-8, Feb. 1997.
[8] S.-D. Chen, A. Ramli, “Contrast enhancement using recursive mean separate histogram equalization for scalable brightness preservation,” IEEE Trans. On Consumer Electronics, vol. 49, no. 4, pp. 1301-1309, Nov 2003.
[9] S. Gupta, Y. Kaur, “Review of Different Histogram Equalization Based Contrast Enhancement Techniques” international Journal of Advanced Research in Computer and Communication Engineering Vol. 3, Issue 7, July 2014.
[10] Rajesh K., Harish S., and Suman, “Comparative Study of
CLAHE, DSIHE & DHE Schemes”, international journal of research in management, science & technology vol.1, issue no. 1.
[11] Y. Wang, Q. C., and Zhang, B. “Image enhancement based on equal area dualistic sub-image histogram equalization method”, IEEE Transactions on Consumer Electronics Vol 45, no.1, pp. 68–75, 1999.
[12] M. Kaur, V. L., “Study of Image Enhancement Techniques: A Review”, International Journal of Advanced Research in Computer Science and Software Engineering, Vol 3, Issue 4, April 2013.
[13] Chen, S. D., and Rahman Ramli. “Minimum Mean Brightness Error Bi-Histogram Equalization in Contrast Enhancement”, IEEE Transactions on Consumer Electronics vol 49, no 4, pp 1310–1319 2003.
[14] M. Abdullah-Al-Wadud, Md. Hasanul K., M. Dewan A. A., and Chae O., “A dynamic histogram equalization for image contrast enhancement” IEEE Trans. Consumer Electron., vol. 53, no. 2, pp. 593- 600, May 2007.
[15] H. Ibrahim, Nicholas Sia Pik Kong “Brightness Preserving Dynamic Histogram Equalization for Image Contrast Enhancement”, IEEE Transactions on Consumer Electronics, Vol. 53, No. 4, Nov 2007 October 14, 2007 IEEE 1752.
[16] Rashmi Choudhary, Sushopti Gawade, “Survey on Image Contrast Enhancement Techniques” International Journal of Innovative Studies in Sciences and Engineering Technology (IJISSET) Vol. 2 Issue 3, March 2016.
[17] J. Alex Stark, “Adaptive Image Contrast Enhancement Using Generalizations of Histogram Equalization” IEEE transactions on image processing, vol. 9, no. 5, may 2000.
[18] S. Gupta, Y. Kaur, “Review of Different Histogram Equalization Based Contrast Enhancement Techniques” International Journal of Advanced Research in Computer and Communication Engineering Vol. 3, Issue 7, July 2014.
[19] Kumar, V., and Himani Bansal. “Performance Evaluationof Contrast Enhancement Techniques for Digital Images”, International Journal of Computer Science and Technology Vol. 2, no. 1, pp. 23–27, 2011.
[20] O. Patel, Yogendra P. S. Maravi and Sharma S., “A comparative study of histogram equalization based image enhancement techniques for brightness preservation and contrast enhancement”, Signal & Image Processing: An International Journal Vol.4, No.5, October 2013.
[21] T. Arici, D. S., and Y., A. “A histogram modification framework and its application for image contrast Enhancement”. IEEE Trans. Image Process. Vol. 18, no. 9, pp. 1921-1935, 2009.
[22] Y. Wang, Q. C., and Zhang, B. “Image enhancement based on equal area dualistic sub-image histogram equalization method”, IEEE Transactions on Consumer Electronics Vol. 45, no. 1, pp. 68–75, 1999.
[23] M. Kim and M. G. Chung, “Recursively Separated and Weighted Histogram Equalization for Brightness Preservation and Contrast Enhancement” IEEE Transactions on Consumer Electronics, vol. no. 54, no. 3, Aug 2008.
[24] S.S. Bedi, R. Khandelwal “Various Image Enhancement Techniques- A Critical Review”. International Journal of Advanced Research in Computer and Communication Engineering Vol. 2, Issue 3, March 2013.
[25] Agarwal, T.K., “Modified Histogram based contrast enhancement using Homomorphic Filtering for medical images”, Advance Computing Conference (IACC), IEEE International on 1-22 Feb. 2014.
[26] S.S. Chong et al. F, “Modified HL Contrast Enhancement Technique for Breast Mr Image”, 2013 IEEE International Conference on Signal and Image Processing Applications 2013.
[27] T. Mahashwari, A. Asthana. “Image Enhancement Using Fuzzy Technique”. Ijrrest International Journal of Research Review in Engineering Science & Technology Vol.2, Issue 2, June-2013.
[28] A. Polesel, G. Ramponi, and V. John Mathews. “Image Enhancement via Adaptive unsharp masking” IEEE Transaction on Image Processing March 2000.
[29] Manvi, R. S. Chauhan, M. Singh. “Image Contrast Enhancement Using Histogram Equalization”. International Journal of Computing & Business Research. 2012.
[30] A. Pareyani, A. Mishra, “Low Contrast Image Enhancement Using Adaptive Filter and DWT: A Literature Review” Indian Journal of Computer Science and Engineering (IJCSE) Vol. 6 No.3 Jun-Jul 2015.