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Reseach Article

Efficient Algorithm for Enhancement Images Quality across Distributed Systems

by Ameer A. M. Al-shammaa, Ebtesam Najim Abdullah Alshemmary
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 89 - Number 5
Year of Publication: 2014
Authors: Ameer A. M. Al-shammaa, Ebtesam Najim Abdullah Alshemmary
10.5120/15496-7744

Ameer A. M. Al-shammaa, Ebtesam Najim Abdullah Alshemmary . Efficient Algorithm for Enhancement Images Quality across Distributed Systems. International Journal of Computer Applications. 89, 5 ( March 2014), 9-14. DOI=10.5120/15496-7744

@article{ 10.5120/15496-7744,
author = { Ameer A. M. Al-shammaa, Ebtesam Najim Abdullah Alshemmary },
title = { Efficient Algorithm for Enhancement Images Quality across Distributed Systems },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 89 },
number = { 5 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 9-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume89/number5/15496-7744/ },
doi = { 10.5120/15496-7744 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:08:26.836379+05:30
%A Ameer A. M. Al-shammaa
%A Ebtesam Najim Abdullah Alshemmary
%T Efficient Algorithm for Enhancement Images Quality across Distributed Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 89
%N 5
%P 9-14
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Due to the large development in the use of distributed systems applications many problems emerged. We have discussed in this paper one of the most important problems that are faced when using distributed systems to send data, the distortions that occurs while image is being sent where these distortions caused reduced color accuracy and clarity of images. This paper introduced a very efficient algorithm to process the problem of distortions that occur with images and this algorithm is very fast to images interpolation. The basic idea of this algorithm is digital image segmentation into homogeneous areas and edges, depending on the structural analysis of the images. In addition, in order to get the best performance of images interpolations, algorithms used are customized to interpolate area classified images, respectively. The experimental results showed a significant improvement in the quality of interpolation of images compared with the interpolation of images by using the proposed algorithm. The comparison results of complexity calculations of the proposed algorithm are shown in this work.

References
  1. Ameer A. Mohammed Baqer, Suhas H. Patil, "Efficient Iris Biometrics Technique for Secure Distributed Systems", International Journal of Digital Society (IJDS), Infonomics Society, Volume 3, Issue 1, March 2012, p. p. 617 – 623.
  2. G. Couloris, J. Dollimore, T. Kinberg,2001, "Distributed Systems-Concepts and Design", 4th Edition, Addison-Wesley, Pearson Education, UK.
  3. A. Tanenbaum and M. Van Steen,2002, "Distributed Systems: Principles and Paradigms", Prentice Hall, Pearson Education, USA.
  4. W. K. Pratt, Digital Image Processing, Wiley, Toronto, Ont. , Canada, 1978.
  5. R. G. Keys, Cubic convolution interpolation for digital image processing, IEEE Transactions on Acoustics, Speech, Signal Processing 29 (6) (1981) 1153–1160.
  6. S. D. Bayraker, R. M. Mersereau, A new method for directional image interpolation, IEEE International Conference on Acoustics, Speech, and Signal Processing 4 (1995) 2383–2386.
  7. L. Khriji, M. Gabbouj, Directional-vector rational filters for color image interpolation Proceedings of the Tenth International Conference on Microelectronics (1998), pp. 236–240.
  8. C. Lee, B. Zeng, A novel interpolation scheme for rectangularly subsampled images, International Conference on Image Processing 3 (1999) 787–791.
  9. B. Zeng, M. S. Fu, C. C. Chuang, New interleaved hierarchical interpolation with median-based interpolators for progressive image transmission, Signal Processing 81 (2001) 431–438.
  10. H. Jiang, C. Moloney, A new direction adaptive scheme for image interpolation, International Conference on Image Processing 3 (2002) 369–372.
  11. H. Shi, R. Ward, Canny edge based image expansion, International Symposium on Circuits and Systems 1 (2002) 785–788.
  12. A. M. Darwish, M. S. Bedair, S. I. Shaheen, Adaptive resampling algorithm for image zooming, IEE Proceedings-Vision Image and Signal Processing 144 (4) (1997) 207–212.
  13. X. Li, M. T. Orchard, New edge-directed interpolation, IEEE Transactions on Image Processing 10 (10) (2001) 1521–1527.
  14. M. J. Chen, Chin-Hui Huang, Wen-Li Lee, A fast edge-oriented algorithm for image interpolation, Image and Vision Computing 23 (2005) 791–798.
Index Terms

Computer Science
Information Sciences

Keywords

Image processing Distributed System Image Enhancement Image Quality