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Analysis of Color Image Filtering Methods

by Jihad Nader, Ziad A. A. Alqadi, Bilal Zahran
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 174 - Number 8
Year of Publication: 2017
Authors: Jihad Nader, Ziad A. A. Alqadi, Bilal Zahran
10.5120/ijca2017915449

Jihad Nader, Ziad A. A. Alqadi, Bilal Zahran . Analysis of Color Image Filtering Methods. International Journal of Computer Applications. 174, 8 ( Sep 2017), 12-17. DOI=10.5120/ijca2017915449

@article{ 10.5120/ijca2017915449,
author = { Jihad Nader, Ziad A. A. Alqadi, Bilal Zahran },
title = { Analysis of Color Image Filtering Methods },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2017 },
volume = { 174 },
number = { 8 },
month = { Sep },
year = { 2017 },
issn = { 0975-8887 },
pages = { 12-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume174/number8/28426-2017915449/ },
doi = { 10.5120/ijca2017915449 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:21:35.679782+05:30
%A Jihad Nader
%A Ziad A. A. Alqadi
%A Bilal Zahran
%T Analysis of Color Image Filtering Methods
%J International Journal of Computer Applications
%@ 0975-8887
%V 174
%N 8
%P 12-17
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The quality of the RGB color image degrades from the minute it is captured to the time it is displayed to the human observer. The image is subject to many kinds of distortions during the stages that it might pass through such as storing, processing, compressing, and transmitting, thus enhancing the image quality is a major important issue. This paper will introduce the effects of salt&pepper and Gaussian noises. A comparative experimental analysis will be done and some recommendation will be approved in which filter to use to reduce the effect of the noise.

References
  1. Majed O. Al-Dwairi, Ziad A. Alqadi, Amjad A. AbuJazar and Rushdi Abu Zneit, Optimized True-Color Image Processing, World Applied Sciences Journal 8 (10): 1175-1182, 2010 ISSN 1818-4952.
  2. Alqadi, Ziad A.; Moustafa, Akram A.; Alduari, Majed; Zneit, Rushdi abu Zneit, True Color Image Enhancement Using Morphological Operations, International Review on Computers & Software;Sep2009, Vol. 4 Issue 5, p557.
  3. J. Astola and P. Kuosmaneen. Fundamentals of nonlinear Digital Filtering. Boca Raton, FL: CRC, 1997.
  4. H. Hwang and R. A. Hadded. Adaptive median filter: New algorithmsand results, IEEE Trans. Image Process., Vol. 4, No. 4, pp. 499–502,Apr. 1995.
  5. S. Zhang and M. A. Karim. A new impulse detector for switching median filters, IEEE Signal Process. Lett., Vol. 9, No. 11, pp. 360–363, Nov. 2002.
  6. P. E. Ng and K. K. Ma. A switching median filter with boundary discriminative noise detection for extremely corrupted images, IEEE Trans. Image Process., Vol. 15, No. 6, pp. 1506–1516, Jun. 2006.
  7. K. S. Srinivasan and D. Ebenezer. A new fast and efficient decisionbased algorithm for removal of high density impulse noise, IEEE Signal Process. Lett., Vol. 14, No. 3, pp. 189–192, Mar. 2007.
  8. V. Jayaraj and D. Ebenezer. A new switching-based median filtering scheme and algorithm for removal of high-density salt and pepper noise in image, EURASIP J. Adv. Signal Process., 2010.
  9. K. Aiswarya, V. Jayaraj, and D. Ebenezer. A new and efficient algorithm for the removal of high density salt and pepper noise in images and videos, Second Int. Conf. Computer Modeling and Simulation, pp. 409–413, 2010.
  10. Medida.Amulya Bhanu, Gopichand Nelapati, Dr.Rajeyyagari Sivaram, Salt and Pepper Noise Detection and removal by Modified Decision based Unsymmetrical Trimmed Median Filter for Image Restoration, International Journal of Advanced Trends in Computer Science and Engineering, Volume 1, No.3, July – August 2012.
  11. Jump up to Philippe Cattin (2012-04-24). "Image Restoration: Introduction to Signal and Image Processing". MIAC, University of Basel. Retrieved 20 December 2016.
  12. Jump up Robert Fisher; Simon Perkins; Ashley Walker; Erik Wolfart. "Image Synthesis — Noise Generation". Retrieved 20 December 2016
  13. Haitham Alasha'ary , Abdullah Al-Hasanat, Khaled Matrouk ,Ziad Al-Qadi ,Hasan Al-Shalabi, A Novel Digital Filter for Enhancing Dark Gray Images, European Journal of Scientific Research ISSN 1450-216X / 1450-202X Vol.122 No.1, 2014, pp.99-106.
  14. Alqadi, Ziad A.; Moustafa, Akram A.; Alduari, Majed; Zneit, Rushdi abu Zneit,, True Color Image Enhancement Using Morphological Operations, International Review on Computers & Software;Sep2009, Vol. 4 Issue 5, p557.
  15. Yusra A. Y. Al-Najjar, Dr. Der Chen Soong, Comparison of Image Quality Assessment: PSNR, HVS, SSIM, UIQI, International Journal of Scientific & Engineering Research, Volume 3, Issue 8, August-2012 1 ISSN 2229-5518.
  16. C. A. B. R. H. S. a. P. E. S. Z. Wang, "Image quality assessment: from error visibility to structural similarity," IEEE Trans. Image Processing, vol. 13, no. 4, pp. 600-612, 2004.
Index Terms

Computer Science
Information Sciences

Keywords

Adaptive median filter median filter average filter noise PSNR..

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