Research Article
Analyzing Image Filtrations by Enhanced Fuzzy Logic with Multi Quality Inputs
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 22 - Issue 5 |
| Published: May 2011 |
| Authors: Ramesh Tiwari, Renu Dhir |
10.5120/2581-3567
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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 },
year = { 2011 },
volume = { 22 },
number = { 5 },
pages = { 12-17 },
doi = { 10.5120/2581-3567 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2011
%A Ramesh Tiwari
%A Renu Dhir
%T Analyzing Image Filtrations by Enhanced Fuzzy Logic with Multi Quality Inputs%T
%J International Journal of Computer Applications
%V 22
%N 5
%P 12-17
%R 10.5120/2581-3567
%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
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