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Modified PSO: A Bio-inspired Algorithm for Color and Gray Level Enhancement

by Sarbjeet Singh, Ankita Pandey, Paramjeet Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 59 - Number 13
Year of Publication: 2012
Authors: Sarbjeet Singh, Ankita Pandey, Paramjeet Singh
10.5120/9609-4240

Sarbjeet Singh, Ankita Pandey, Paramjeet Singh . Modified PSO: A Bio-inspired Algorithm for Color and Gray Level Enhancement. International Journal of Computer Applications. 59, 13 ( December 2012), 27-33. DOI=10.5120/9609-4240

@article{ 10.5120/9609-4240,
author = { Sarbjeet Singh, Ankita Pandey, Paramjeet Singh },
title = { Modified PSO: A Bio-inspired Algorithm for Color and Gray Level Enhancement },
journal = { International Journal of Computer Applications },
issue_date = { December 2012 },
volume = { 59 },
number = { 13 },
month = { December },
year = { 2012 },
issn = { 0975-8887 },
pages = { 27-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume59/number13/9609-4240/ },
doi = { 10.5120/9609-4240 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:04:07.406067+05:30
%A Sarbjeet Singh
%A Ankita Pandey
%A Paramjeet Singh
%T Modified PSO: A Bio-inspired Algorithm for Color and Gray Level Enhancement
%J International Journal of Computer Applications
%@ 0975-8887
%V 59
%N 13
%P 27-33
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The use of modified version of PSO had declared the optimum solutions and act as remedy incase of particle stagnation. Traditional PSO lost its identity due to impact and strength of MPSO. Recent literatures show how modified particle swarm had achieved its name and fame over its parental algorithm called as PSO by optimizing. In this paper we exploit its advantage over image enhancement for improving image contents. This makes handy for visualizing the information from enhanced images. Work deal with use of parameterized transformation and objective function for local/global information and entropy/edge information respectively by modified PSO. Quality of Image is controlled by scaling factor and helps us in situation like gamut. Enhancement is wide study and we had attempted to use MPSO for this field. Results clearly visualize the effect of color image enhancement and gray scale level enhancement.

References
  1. R. C. Gonzales, R. E. woods, Digital Image Processing. Newyork: Addison-wesley, 1987
  2. R. C Gonzales, B. A. Fittes, "Grey Level transformation for interactive image enhancement," mechanism and machine theory, vol. 12,pp. 111-112, 1977.
  3. R. Poli, S. Cagnoni, "Evolution of pseudo-coloring algorithms for image enhancement," Univ. Birmingham, Birmingham, U. K. , Tech. Rep. CSRP-1997.
  4. C. Munteanu, V. Lazarescu, "Evolutionary contrast stretching and detail enhancement of satellite images," In Proc. Mendel, Berno, Czech Rep. , pp. 94-99, 1999.
  5. C. Munteanu , A. Rosa, "Evolutionary image enhancement with user behavior modeling," ACM SIGAPP Applied Computing Review, vol. 9, no. 1, pp. 8-14, 2001.
  6. F. Saitoh, "Image contrast enhancement using genetic algorithm," in Proc. IEEE SMC, Tokyo, Japan, pp. 899-904, 1993.
  7. G. Runqiu, L. Junfeng, L. Xiaochun, "The infrared image enhancement and the correlative technique based on the parallel genetic algorithm," XIDIAN Univ. J. , vol. 31, pp. 6-8, 2004. .
  8. S. K. Naik and C. A. Murthy, "Hue-preserving color image enhancement without gamut problem," IEEE Transactions on Image Processing, vol. 12, no. 12, pp. 1591–1598, 2003.
  9. C. Munteanu, A. Rosa, "Gray-scale enhancement as an automatic process driven by evolution," IEEE Transaction on Systems,Man and Cybernatics-Part B:Cybernetics, vol. 34, no. 2, pp. 1292-1298, 2004
  10. Kota murahira, takashi Kawakami, Akira Taguchi, "Modified histogram Equalization for Image enhancemnt," IEEE procedding of the 4th ISCCSP cyprus, 2010
  11. S. Jingquan, F. Mengyin, and Z. Chanjian, "An image enhancementalgorithm based on chaotic optimization," Computer Engineering and applications, vol. 27, pp. 4–6, 2003.
  12. G. Runqiu, L. Junfeng, and L. Xiaochun, "The infrared image enhancement and the correlative technique based on the parallel genetic algorithm," XIDIAN Univ. J. , vol. 31, pp. 6–8, 2004.
  13. T. Xiaodong and L. Zhong, "Compare and analysis of enhancement methods of sonar image," Ship Electronics Eng. J. , vol. 26, pp. 154–157, 2006.
  14. Mahdi, Mengjie Zhang, Mark Johnston, "Improving Edge Detection using Particle swarm Optimization in Noisy Images," in proceeding of 25th ICIVC, NewZealand, IEEE Press, 2010
  15. J. Kennedy, R. Eberhart. "Particle swarm optimization". IEEE International Conference Neural Networks, vol. 4, 1995, pp. 1942-1948.
  16. S. K. Naik and C. A. Murthy, "Hue-preserving color image enhancement without gamut problem," IEEE Transactions on Image Processing, vol. 12, no. 12, pp. 1591–1598, 2003.
  17. C. Munteanu and A. Rosa, "Gray-scale enhancement as an automaticprocess driven by evolution," IEEE Transactions on Systems,Man andCybernatics-Part B:Cybernetics, vol. 34, no. 2, pp. 1292–1298, 2004.
  18. Apurba Gorai, Ashish Ghosh, "Hue-Preserving Color Image Enhancement Using Particle Swarm Optimization" IEEE conference on recent advances in intelligent computational systems (RAICS), pp. 563 – 568,2011
  19. S. K. Pal, D. Bhandari, M. K. Kundu, "Genetic algorithms for optimal image enhancement," Pattern Recognition Letter, vol. 15, pp. 261-271,1994
  20. Lipika Gupta, Rajesh Mehra, "Modified PSO based Adaptive IIR Filter Design for System Identification on FPGA", IJCA vol. 22, pp. 1-7, 2011
Index Terms

Computer Science
Information Sciences

Keywords

HIS color space CIE GLE MPSO

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