Google scholar arxiv informatics ads IJAIS publications are indexed with Google Scholar, NASA ADS, Informatics et. al.

Call for Paper

-

November Edition 2021

International Journal of Applied Information Systems solicits high quality original research papers for the November 2021 Edition of the journal. The last date of research paper submission is October 15, 2021.

Enhancement of Underwater Image using Fuzzy Histogram Equalization

Ghada S. Karam, Ziad M. Abood, Rafal N. Saleh Published in Image Processing

International Journal of Applied Information Systems
Year of Publication: 2013
© 2013 by IJAIS Journal
10.5120/ijais13-450987
Download full text
  1. Ghada S Karam, Ziad M Abood and Rafal N Saleh. Article: Enhancement of Underwater Image using Fuzzy Histogram Equalization. International Journal of Applied Information Systems 6(6):1-6, December 2013. BibTeX

    @article{key:article,
    	author = "Ghada S. Karam and Ziad M. Abood and Rafal N. Saleh",
    	title = "Article: Enhancement of Underwater Image using Fuzzy Histogram Equalization",
    	journal = "International Journal of Applied Information Systems",
    	year = 2013,
    	volume = 6,
    	number = 6,
    	pages = "1-6",
    	month = "December",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

Image enhancement is a process of improving the quality of image by improving its feature. The underwater images suffer from low contrast and resolution due to scattering of light and poor visibility conditions. In this paper we proposed an image enhancement technique to enhance the quality of underwater images. The proposed technique comprises a combination of classical contrast enhancement techniques and fuzzy-histogram equalization techniques. For comparing the performance, some statistics parameter is used. The proposed technique comprises a combination of classical contrast enhancement techniques and fuzzy-histogram equalization techniques. Experiment results demonstrate the effectiveness of fuzzy logic techniques to enhance the quality of the underwater images.

Reference

  1. John Y. Chiang, Ying Ching Chen and Yung Fu Chen: Underwater image enhancement using WCID. Spriger-Verlog Berlin Heidelberg. pp. 373-383 (2011).
  2. Jules S. Jaffe: underwater optical imaging. J. Opt. Soc. Am. 59. pp. 40-42 (1988).
  3. G. Yang, F. Peng, K. Zhao: A Dual-band underwater image denoising and enhancement algorithm. The 2nd International Conference on computer application and system modeling, pp. 1219-1321 (2012).
  4. R. Shettini, S. Corchs: Underwater image processing: state of threat of restoration and image enhancement methods. J. advances in signal processing, 11, pp. 1155-1168 (2010).
  5. S. Bazeille, I. Quidu, L. Jaulin and J. Malkasse: Proceedings of the European Conference Propagation and Systems, Brest, France (2006).
  6. Iqbal K. , Abdul Salam, R. , Osman, A. : Underwater image enhancement using an integrated color model. J. Computer Science 34, pp. 2-12 (2007).
  7. Chambah M. , Semani D. and Rizzi A. : in color imaging processing, Handcopy and Applications, vol. 5293, pp. 157-168 (2004).
  8. R. Pramunendar, G. Shidik, C. Supriyanto, P. Nurtanti and M. Hariadi: Auto level color correction for underwater image matching optimization, IJCSNS, vol. 13, no. 1, pp. 18-23 (2013).
  9. H. B. Kekre, K. Patil: Standard deviation of mean and variance of rows and columns of images for cbir. , world academy of science ,engineering and technology 27, , pp. 609-612 (2009).
  10. A. K. John, O. O. Williams: Employing Fuzzy histogram equalization to compute illumination invariance in face recognition system, I. J. intelligent System and application, pp. 54-60 (2012).
  11. K. Venkateshwarlu: Image enhancement using Fuzzy inference system, thesis submitted for the award of degree of master of engineering in computer science and engineering, Thapar University (2010).
  12. A. A. Dawood, G. Karam, A. Majead: Statistical analysis for underwater images, pp. 71-75 (2011).

Keywords

Image enhancement, underwater images, fuzzy-histogram equalization.