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
An Efficient Restoration Method for the Faint Dot Matrix Images

Ao Zhu Peng Cao
Random Articles
Reseach Article

Analyzing Image Filtrations by Enhanced Fuzzy Logic with Multi Quality Inputs

by Ramesh Tiwari, Renu Dhir
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 22 - Number 5
Year of Publication: 2011
Authors: Ramesh Tiwari, Renu Dhir
10.5120/2581-3567

Ramesh Tiwari, Renu Dhir . Analyzing Image Filtrations by Enhanced Fuzzy Logic with Multi Quality Inputs. International Journal of Computer Applications. 22, 5 ( May 2011), 12-17. DOI=10.5120/2581-3567

@article{ 10.5120/2581-3567,
author = { Ramesh Tiwari, Renu Dhir },
title = { Analyzing Image Filtrations by Enhanced Fuzzy Logic with Multi Quality Inputs },
journal = { International Journal of Computer Applications },
issue_date = { May 2011 },
volume = { 22 },
number = { 5 },
month = { May },
year = { 2011 },
issn = { 0975-8887 },
pages = { 12-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume22/number5/2581-3567/ },
doi = { 10.5120/2581-3567 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:08:36.788549+05:30
%A Ramesh Tiwari
%A Renu Dhir
%T Analyzing Image Filtrations by Enhanced Fuzzy Logic with Multi Quality Inputs
%J International Journal of Computer Applications
%@ 0975-8887
%V 22
%N 5
%P 12-17
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we describe the Image Filtration through Fuzzy Logics in four different scenarios of Image Input as 3*3,9*9, 17*17 and 25*25 division blocks and iterating fuzzy equation on it for 2 and 8 times at constant amplification factor of 10. The input image selected for analysis is PGM (Portable Gray Map), dividing input images into matrix of m*n blocks. The input image is analyzed for multiple iterations and difference in output is significantly marked for MSE and PSNR.

References
  1. Jef Poskanzer on his official site http://netpbm.sourceforge.net/doc/pgm.html
  2. Zhou, Yan, Tang, Quan-hua, Jin, Wei-dong, 2008. Adaptive fuzzy median filter for images corrupted by impulse noise in Congress on image and signal processing IEEE Conference. Volume 5 Page(s): 265 - 269
  3. Schulte, S., De Witte, V., Nachtegael, M., Van der Weken, D., Kerre, E.E., 2006. Fuzzy two-step filter for impulse noise reduction from color images in IEEE Transactions on Image Processing Volume: 15, Issue: 11 Page(s): 3567 – 3578.
  4. Pei-Eng Ng, Kai-Kuang Ma, 2006. A switching median filter with boundary discriminative noise detection for extremely corrupted images in IEEE Transactions on Image Processing Volume: 15, Issue: 6 Page(s): 1506 – 1516.
  5. Z. Deng, Z Yin, and Y Xiong., 2007 High probability impulse noise-removing algorithm based on mathematical morphology in IEEE Signal Process Lett. Page(s): 31-34.
  6. Young Sik Choi, Krishnapuram, R., 1997, A robust approach to image enhancement based on fuzzy logic in IEEE Transactions on Image Processing, Volume: 6 Issue: 6, Page(s): 808 - 825,
  7. Yuewei Lin, Bin Fang, Yuanyan Tang, 2010, Image Restoration Using Fuzzy Impulse Noise Detection and Adaptive Median Filter in Chinese Conference on Pattern Recognition, Page(s): 1 - 4 .
  8. Haixiang Xu, Xiaorui Yue, 2009, An Adaptive Fuzzy Switching Filter for Images Corrupted by Impulse Noise in Sixth International Conference on Fuzzy Systems and Knowledge Discovery Volume: 3, Page(s): 383 – 387.
  9. Nachtegael, M., Schulte, S., Van der Weken, D., De Witte, V., Kerre, E.E., 2005. Fuzzy filters for noise reduction: the case of gaussian noise in The 14th IEEE International Conference on Fuzzy Systems, FUZZ '05. Page(s): 201 – 206.
  10. Van De Ville, D., Nachtegael, M., Van der Weken, D., Kerre, E.E., Philips, W., Lemahieu, I., 2003. Noise reduction by fuzzy image in IEEE Transactions on Fuzzy Systems Volume: 11 , Issue: 4 Page(s): 429– 436.
  11. H.Haussecker and H.Tizhoosh,1999 Handbook of Computer Vision and Applications, Page(s): 708– 753.
Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy Filter PGM image Filtration

Powered by PhDFocusTM