Survey of Image De
Survey of Image Denoising Techniques
Reza Ahmadi1,Javad Kangarani Farahani2, Farbod Sotudeh3, Ashkan Zhaleh4, Saeid Garshasbi5
1Department of Electrical Engineering, Ashtian
Branch, Islamic Azad University, Ashtian, Iran
2Department of Electrical Engineering, Ashtian
Branch, Islamic Azad University, Ashtian, Iran
3Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
4Department of Electrical Engineering, Eslamabad-E-Gharb Branch, Islamic Azad University, Eslamabad-E-Gharb, Iran
5Department of Electrical Engineering, Ashtian
Branch, Islamic Azad University, Ashtian, Iran
Abstract: The search for efficient image denoising ethods is still a valid challenge at the crossing offunctional analysis and statistics. In spite of the sophistication of the recently proposed methods, mostalgorithms
have not yet attained a desirable level of applicability. According to the characteristics of wirebonding image and to meet the
requirement for strong
noise
rejection, a de-noising algorithm
based on fuzzy cellular automata and
cellular automata is presented
in this paper. Evolution rules are
given by using the direction
information and edge orderliness of the pixels. The accurate
noise information can be detected by automatic evolution of cellular automata and then the de-noised image is obtained by reconstruction from
theprocessed coefficients. The algorithm can effectively eliminate the image noise and keep edge informationwithout blurring image edge. The algorithm especially suits for the wire bonding image which need high edgedetection accuracy. The simulation results show the effectiveness of the proposed algorithm. The algorithm
improves the visual quality of the image and presents much
higher peak signal to noise ratio compared
withtraditional method.
[Reza
Ahmadi. Survey
of Image Denoising Techniques. Life Sci J 2013;10(1):753-755]. (ISSN: 1097-8135).http://www.lifesciencesite.com. 118
Keywords: Fuzzy Logic,image processing, noise removal,denoising, penetration, rate of return,Cellularautomata;
software algorithm Full Text 118
