We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Call for Paper
December Edition
IJCA solicits high quality original research papers for the upcoming December edition of the journal. The last date of research paper submission is 20 November 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

An Alternative Approach to Remove Impulse Noise from Digital Images to Reduce Execution Time

by Vipul D Punjabi, Shiv Kumar, Amit Sinhal, Neetesh Gupta, G.p. Basal
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 46 - Number 13
Year of Publication: 2012
Authors: Vipul D Punjabi, Shiv Kumar, Amit Sinhal, Neetesh Gupta, G.p. Basal
10.5120/6969-9452

Vipul D Punjabi, Shiv Kumar, Amit Sinhal, Neetesh Gupta, G.p. Basal . An Alternative Approach to Remove Impulse Noise from Digital Images to Reduce Execution Time. International Journal of Computer Applications. 46, 13 ( May 2012), 15-17. DOI=10.5120/6969-9452

@article{ 10.5120/6969-9452,
author = { Vipul D Punjabi, Shiv Kumar, Amit Sinhal, Neetesh Gupta, G.p. Basal },
title = { An Alternative Approach to Remove Impulse Noise from Digital Images to Reduce Execution Time },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 46 },
number = { 13 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 15-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume46/number13/6969-9452/ },
doi = { 10.5120/6969-9452 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:39:37.666161+05:30
%A Vipul D Punjabi
%A Shiv Kumar
%A Amit Sinhal
%A Neetesh Gupta
%A G.p. Basal
%T An Alternative Approach to Remove Impulse Noise from Digital Images to Reduce Execution Time
%J International Journal of Computer Applications
%@ 0975-8887
%V 46
%N 13
%P 15-17
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Noise is impulse on images due to several factors like malfunctioning in pixels due to camera sensor, transmission of images in noisy channel, hardware problem etc. This paper surveys various techniques for removal of impulse noise. To reduce the impulse noise level in Digital images various filters were introduced amongst which (SAM) Simple Adaptive Median is one of the method, which uses hybrid technique of adaptive median filter and switching median filter. Based on Local noise level on digital images size of filter is changed i. e. square filter technique is used basically in SAM. SAM was compared with three derivatives namely Weighted SAM (WSAM), Circular SAM (CSAM) and Weighted CSAM (WCSAM) and images were restored maximum of impulse noise, but as Circular filter has complicated implementation that resulted in increase of execution time. This paper investigate the effect of shape and weight on digital images using SAM filter and restore all the digital images impulse with noise with reducing execution time for all three derivatives.

References
  1. R. Pandey, "An Improved Switching Median filter for Uniformly Distributed Impulse Noise Removal", World Academy of Science, Engineering and Technology 38 2008, pp 349-351.
  2. M. Juneja, R. Mohan, "An Improved Adaptive Median Filtering Method for Impulse Noise Detection", International Journal of Recent Trends in Engineering, Vol 1, No. 1, May 2009, pp 274-278.
  3. H. Hosseini, F. Marvasti, "Fast Impulse Noise Removal from Highly Corrupted Images", http://arxiv. org/ftp/arxiv/papers/1105/11052899. pdf
  4. Majid, A. Tariq Mahmood M. , "A novel technique for removal of high density impulse noise from digital images", Emerging Technologies (ICET), 2010 6th International Conference Oct. 2010, pp 139 – 143.
  5. H. Hwang, R. A. Haddad, "Adaptive median filters: New algorithms and results", IEEE Transactions on Image Processing, Vol. 4, No. 4, 1995,pp 499-502.
  6. S. Perreault, P. Hébert, "Median Filtering in Constant Time", IEEE Transactions on Image Processing, Vol. 16, No. 9, Sep 2007, pp 2389-2394.
  7. S. J. Ko, and Y. H. Lee, "Center weighted median filters and their applications to image enhancement", IEEE Transactions on Circuits and Systems, vol. 38, no. 9, 1991, pp 984-993.
  8. C. S. Panda, S. Patnaik, "Filtering Corrupted Image and Edge Detection in Restored Grayscale Image Using Derivative Filters", International Journal of Image Processing, (IJIP) Volume (3): Issue (3), pp 105-119.
  9. T. Acharya, A. K. Ray, "Image processing: principles and applications", John Wiley and Sons, 2005 pp 116-127.
  10. H. Ibrahim, N. S. P. Kong, and T. F. Ng, "Simple adaptive median filter for the removal of impulse noise from highly corrupted images", IEEE Transactions on Consumer Electronics, Vol. 54, No. 4, 2008, pp1920-1927.
Index Terms

Computer Science
Information Sciences

Keywords

Salt-pepper Impulse Noise Distortion

Powered by PhDFocusTM