Adaptive Fuzzy Based Image Enhancement Techniques with Histogram

Authors(3) :-K.Narmada, N. Subraja, W. Rayezahamed

Image Enhancement works an important aspect in digital image managing programs for both human and computer viewpoint. The major problem that improves in image improvement is quantifying the way of improvement thus needs interesting techniques to acquire satisfied results. The overall objective of this proposed work is to evaluate the performance of existing image enhancement techniques like Histogram equalization, adaptive histogram equalization and Fuzzy image enhancement technique. It has been found that the value of contrast parameter 'K' in fuzzy method was taken statically as 128. To overcome this, to make contrast dynamic a new optimized fuzzy method have been proposed. Here different optimization techniques Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC) have been used to optimize the contrast and the technique with best optimized contrast value is selected. The proposed technique is designed and implemented in MATLAB using image processing toolbox.

Authors and Affiliations

K.Narmada
Ph.d Research scholar, Department of Computer Science, Annamalai University, Chidambaram, Tamilnadu, India
N. Subraja
PG Student, Department of EEE, Annamalai University, Chidambaram, Tamilnadu, India
W. Rayezahamed
Asst professor, Department of EEE, Annamalai University, Chidambaram, Tamilnadu, India

Contrast Enhancement, Color Image, Optimization Techniques, Fuzzy Method

  1. R. C. Gonzalez and R. E. Woods, "Digital Image Processing", Prentice-Hall, 2nd ed. (2002).
  2. I. M. Bockstein, "Color equalization method and its application to color image processing," J. Opt. Soc. Amer. A, vol. 3, no. 5, (1986), pp. 735–737,
  3. C. S. Lee, Y. H. Kuo and P. T. Yu, "Weighted fuzzy mean filters for image processing" , Fuzzy Sets and systems, Elsevier, vol. 89, no. 2, (1997), pp. 157-180.
  4. H. Zimmermann, "Fuzzy set theory and its applications", Springer Science & Business Media, (2001).
  5. M. Hanmandlu, D. Jha and R. Sharma, "Color image enhancement by fuzzy intensification", Pattern Recognition Letters, vol. 24, no. 1, (2003), pp. 81-87.
  6. D. Gaertner and K. L. Clark, "On Optimal Parameters for Ant Colony Optimization Algorithms", "Proceedings of the International Conference on Artificial Intelligence", vol. 1, (2005), pp. 83-89.
  7. M. Hanmandlu and D. Jha, "An optimal fuzzy System for color image enhancement", IEEE Transactions on Image Processing, vol. 15, no. 10, (2006), pp. 2956 – 2966.
  8. D. Teodorovic, P. Lucic, G. Markovic and M. Dellorco, "Bee colony optimization: principles and applications", 8th IEEE Seminar on Neural Network Applications in Electrical Engineering, (2006), pp. 151-156.
  9. S. S. Agaian, B. Silver and K. A. Panetta, "Transform coefficient histogram-based image enhancement algorithms using contrast entropy", IEEE Transactions on Image Processing, vol. 16, no. 3, (2007), pp. 741-758.
  10. M. Braik, S. F. Alaa, and A. Aladdin, "Image Enhancement Using Particle Swarm Optimization", In World congress on engineering, vol. 1, (2007), pp. 978-988.
  11. R. Lakshmanan, M. S. Nair, M. Wilscy and R. Tatavarti, "Automatic contrast enhancement using selective gray-level grouping", International Journal on Signal and Imaging Systems Engineering, vol. 3, (2010), pp. 126-135.
  12. Q. Bai, "Analysis of particle swarm optimization algorithm", Computer and Information Science, vol. 3, no. 1, (2010), pp. 180. International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.9, No.1 (2016) Copyright
  13. M. F. Khan, E. Khan and Z. A. Abbasi, "Multi segment histogram equalization for brightness preserving contrast enhancement", Advances in Computer Science, Engineering & Applications, Springer, (2010), pp. 193-202.
  14. O. P. Verma, P. Kumar, M. Hanmandlu, and S. Chhabra, "High dynamic range optimal fuzzy color image enhancement using artificial ant colony system", Applied Soft Computing vol. 12, no. 1, (2012), pp. 394-404.
  15. S. J., Preethi and K. Rajeswari., "Membership Function modification for Image Enhancement using fuzzy logic", International Journal of Emerging Trends & Technology in Computer Science, vol. 2, no. 2, (2013).
  16. E. Lee, K. Sungho, W. Kang, D. Seo and J. Paik, "Contrast enhancement using dominant brightness level analysis and adaptive intensity transformation for remote sensing images", IEEE conference on Geoscience and Remote Sensing Letters, vol. 10, no. 1, (2013), pp. 62-66.
  17. G. George and K. Raimond, "A Survey on Optimization Algorithms for Optimizing the Numerical Functions", International Journal of Computer Applications, vol. 61, no. 6, (2013), pp. 41-46.
  18. A. Verma, S. Goel and N. Kumar, "Gray level enhancement to emphasize less dynamic region within image using genetic algorithm", 3rd IEEE International Conference on Advance Computing, (2013), pp.1171 – 1176.
  19. H. Pourya and M. G. Shayesteh, "Efficient contrast enhancement of images using hybrid ant colony optimization, genetic algorithm, and simulated annealing", Digital Signal Processing vol. 23, no. 3, (2013), pp. 879-893.
  20. G. Raju and M. S. Nair, "A fast and efficient color image enhancement method based on fuzzy-logic and histogram", International Elsevier Journal of Electronics and Communications, vol. 68, no. 3, (2014), pp. 237–243.
  21. T. Kaur and R. K. Sidhu, "Performance Evaluation of Fuzzy and Histogram Based Color Image Enhancement", In Procedia of Computer Science Journal vol. 58, (2015), pp. 470-477.
  22. G. Raju and M. S. Nair, "A fast and efficient color image enhancement method based on fuzzy-logic and Histogram", International Elsevier Journal of Electronics and Communications, vol. 68, no. 3, (2014), pp. 237–243.
  23. Lee, Eunsung, Sangjin Kim, Wonseok Kang, Doochun Seo, and Joonki Paik. "Contrast enhancement using dominant brightness level analysis and adaptive intensity transformation for remote sensing images." Geoscience and Remote Sensing Letters, IEEE 10, no. 1 (2013): 62-66.
  24. Nercessian, Shahan C., Karen A. Panetta, and Sos S. Agaian. "Non-linear direct multi-scale image enhancement based on the luminance and contrast masking characteristics of the human visual system." Image Processing, IEEE Transactions on 22, no. 9 (2013): 3549-3561.
  25. Sundaram, M., K. Ramar, N. Arumugam, and G. Prabin. "Histogram based contrast enhancement for mammogram images." In Signal Processing, Communication, Computing and Networking Technologies (ICSCCN), 2011 International Conference on, pp. 842-846. IEEE, 2011.
  26. SChouhan, Rajlaxmi, Rajib Kumar Jha, and Prabir Kumar Biswas. "Enhancement of dark and low-contrast images using dynamic stochastic resonance." IET Image Processing 7, no. 2 (2013): 174-184.
  27. Celik, Turgay. "Spatial Entropy-Based Global and Local Image Contrast Enhancement." (2014).
  28. Jha, Rajib Kumar, Rajlaxmi Chouhan, Prabir Kumar Biswas, and Kiyoharu Aizawa. "Internal noise-induced contrast enhancement of dark images." In Image Processing (ICIP), 2012 19th IEEE International Conference on, pp. 973-976. IEEE, 2012.
  29. Ehsani, Seyed P., Hojjat Seyed Mousavi, and Babak H. Khalaj. "Chromosome image contrast enhancement using adaptive, iterative Histogram matching." InMachine Vision and Image Processing (MVIP), 2011 7th Iranian, pp. 1-5. IEEE, 2011

Publication Details

Published in : Volume 3 | Issue 1 | January-February 2017
Date of Publication : 2017-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 398-407
Manuscript Number : IJSRST173178
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

K.Narmada, N. Subraja, W. Rayezahamed, " Adaptive Fuzzy Based Image Enhancement Techniques with Histogram", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 3, Issue 1, pp.398-407 , January-February-2017.
Journal URL : https://ijsrst.com/IJSRST173178
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