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Reseach Article

Enriched Fuzzy and L*A*B based Mix Contrast Limited Adaptive Histogram Equilization

by Kanika Sharma, Navneet Bawa, Ajay Sharma
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 115 - Number 2
Year of Publication: 2015
Authors: Kanika Sharma, Navneet Bawa, Ajay Sharma
10.5120/20122-2190

Kanika Sharma, Navneet Bawa, Ajay Sharma . Enriched Fuzzy and L*A*B based Mix Contrast Limited Adaptive Histogram Equilization. International Journal of Computer Applications. 115, 2 ( April 2015), 17-22. DOI=10.5120/20122-2190

@article{ 10.5120/20122-2190,
author = { Kanika Sharma, Navneet Bawa, Ajay Sharma },
title = { Enriched Fuzzy and L*A*B based Mix Contrast Limited Adaptive Histogram Equilization },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 115 },
number = { 2 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 17-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume115/number2/20122-2190/ },
doi = { 10.5120/20122-2190 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:53:33.485514+05:30
%A Kanika Sharma
%A Navneet Bawa
%A Ajay Sharma
%T Enriched Fuzzy and L*A*B based Mix Contrast Limited Adaptive Histogram Equilization
%J International Journal of Computer Applications
%@ 0975-8887
%V 115
%N 2
%P 17-22
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper a novel algorithm has been designed to get rid of the problem of over-enhancement found in Mix CLAHE specifically for underwater images. The underwater image is suffering from low contrast and resolution because of dispossessed visibility circumstances, hence a subject identification become typical task. The processing of underwater image captured is important because the grade of underwater images distress and these images leads some serious problems in comparison with images from the clearer environment. This paper has proposed an hybrid approach which includes integrated the MIX-CLAHE with the L*A*B based fuzzy enhancement. The experimental results indicates that the proposed technique outperforms on the available methods.

References
  1. Ali Asgharzadeh "A Truth Qualified Fuzzy Logic Rule Based Expert System with Application to Image enhancement" IEEE world congress on computational intelligence on , pp 503-508. IEEE, 1994.
  2. Young sik; Raghln krishnapuram "Image enhancement based on Fuzzy logic" image processing , 1995 international conference on , vol . 1, pp. 167-170, oct. 1995.
  3. Young sik; Raghln krishnapuram "A Robust Approach to Image Enhancement Based on Fuzzy Logic" IEEE Transactions on Image Processing, vol. 6, june 1997
  4. Farzam Farbiz "Fixed Point Filter Design for Image Enhancement using Fuzzy Logic" IEEE, vol. 1 , p no. 838-842 ,1998.
  5. Farzam Farbiz "An Extended Iterative Method for Image Enhancement Based on Fuzzy Logic" IEEE , vol. 1 , p. 250-254, 1999.
  6. Cristian Munteanu ,"Gray-Scale Image Enhancement as an Automatic Process Driven by Evolution" IEEE Transactions on systems ,man and cybernetics Vol. 34, NO. 2,pno. 1293-1298, april 2004.
  7. Yuichiro Tokuda,"Image Quality Enhancement Support System by Gamma Correction Using Interactive Evolutionary Computation" IEEE , vol1, pno. 2906-2910, 2007.
  8. Pourya Hosein "Hybrid Ant Colony Optimization, Genetic Algorithm, and Simulated Annealing for Image Contrast Enhancement" IEEE , 2007.
  9. Qingyun Yang "An Adaptive Image Contrast Enhancement based on Differential Evolution" International Congress on Image and Signal Processing (CISP2010) , vol 10, pno. 631-634 , IEEE, 2010.
  10. Alexey Saenko "Image Enhancement and Image Quality Analysis using Fuzzy Logic Techniques" vol 10, pno. 95-98, IEEE 2012.
  11. Mohd. Farhan Khan, "Multi Segment Histogram Equalization for Brightness Preserving Contrast Enhancement" Advances in Computer Science, Eng. & Appl, ( AISC) 166, pp. 193–202, Springer 2012.
  12. P. P. Sarangi, "Gray-level Image Enhancement Using Differential Evolution Optimization Algorithm" international conference on signal processing and integrated network (SPIN) , IEEE , vol 1, pno 95-100, 2014.
  13. Senthilkumaran N, "Histogram Equalization for Image Enhancement Using MRI brain images" World Congress on Computing and Communication Technologies, vol 1, pno. 80-83, 2014.
  14. Khan Wahid ,"A Color Reproduction Method with Image Enhancement for Endoscopic Images", Middle East Conference on Biomedical Engineering (MECBME), vol1, pno 135-138, IEEE 2014.
  15. Yung-Tseng Chang "Contrast enhancement in palm bone image using quad-histogram equalization" , International Symposium on Computer, Consumer and Control,vol. 14, pno. 1001-1004, IEEE. 2014.
  16. Anshita Aggarwal "Medical Image Enhancement Using Adaptive Multiscale Product Thresholding", International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT), vol1. Pno. 683-687, IEEE 2014.
Index Terms

Computer Science
Information Sciences

Keywords

Mix CLAHE L*A*B Fuzzy logic Underwater images.