Comparison of the Fuzzy-based Wavelet Shrinkage Image Denoising Techniques
In this paper, a comparative study on the different membership functions which are used for fuzzy-based noise reduction methods is done. This study focuses on the three different membership functions such as Gaussian, Sigmaf and Trapezoidal. The fuzzy wavelet shrinkage method is tested with different membership functions in order to reduce different types of noise such as Gaussian, Salt Pepper, Poisson and Speckle. The measure of comparison between different membership function is based on PSNR (Peak Signal to Noise Ratio). Experimental results show that on the some well-known images, such as \Lena\, \Barbara\ and \Baboon\, the Gaussian membership function can efficiently remove the additive Gaussian and the Poisson noises from the grey level images. Furthermore, on the Speckle and Salt Pepper noises, the Sigmaf membership function outperforms the Trapezoidal one to remove noise.
Keywords: Fuzzy set, Membership function, Noise detection, Noise reduction, Wavelet shrinkage
Download Full-Text
ABOUT THE AUTHORS
Ali Adeli
was born in 1986.He received the B.Sc. degree incomputer engineering from Azad University, Shirvan, Iran, in 2010, the M.Sc. student in Artificial Intelligence from the University of Shiraz, since 2010. He is with Darolfonoun Technical College, Bojnord Branch, Faculty of Engineering, and Computer Engineering Dept., Bojnord /Iran since 2011. His research interests are machine learning, data mining, fuzzy systems, evolutionary computation techniques, machine vision and Image processing. He has publications and submissions in international conferences/journals like IEEE International conference, Lecture Notes in Computer Science, International MultiConference of Engineers and Computer Scientists, International Journal of Physical Science and International Journal of Computer Science Issue.
Farshadtajeripoor
was born in 1972. He received the B.Sc. and M.Sc. degree in electrical engineering from Shiraz University, Shiraz, Iran, in 2000, the Ph.D. degree in electrical engineering from Tarbiat Modarres University, Tehran, Iran, in 2006. He is with Shiraz University, Shiraz Branch, Faculty of Engineering, and Computer Engineering Dept., Shiraz /Iran since 2009. His research interests are digital signal processing, digital image processing and machine vision.
M. Javad Zomorodian
was born in 1984. He received the B.Sc. degree in computer engineering from Azad University, Shiraz, Iran, in 2006, the M.Sc. degree in Artificial Intelligence from the University of Shiraz, in 2011.He is with Bahonar Technical College, Shiraz Branch, Faculty of Engineering, and Computer Engineering Dept., Shiraz /Iran since 2010.His research interests are machine learning, data mining, pattern recognition and information retrieval.
Mehdi Neshat
was born in 1980.He received the B.Sc. degree in computer engineering from Azad University, Maybod, Iran, in 2006, the M.Sc. degree in Artificial Intelligence from the University of mashhad, in 2008 and is a member of the IEEE and the IEEE Computer Society He is with Islamic Azad University, Shirvan Branch, Faculty of Engineering, and Computer Engineering Dept., Shirvan /Iran since 2007. His research interests are fuzzy logic, fuzzy systems, and fuzzy neural networks, particle swarm optimization, genetic algorithms, ant colony optimization, and other evolutionary computation techniques.
Ali Adeli
was born in 1986.He received the B.Sc. degree incomputer engineering from Azad University, Shirvan, Iran, in 2010, the M.Sc. student in Artificial Intelligence from the University of Shiraz, since 2010. He is with Darolfonoun Technical College, Bojnord Branch, Faculty of Engineering, and Computer Engineering Dept., Bojnord /Iran since 2011. His research interests are machine learning, data mining, fuzzy systems, evolutionary computation techniques, machine vision and Image processing. He has publications and submissions in international conferences/journals like IEEE International conference, Lecture Notes in Computer Science, International MultiConference of Engineers and Computer Scientists, International Journal of Physical Science and International Journal of Computer Science Issue.
Farshadtajeripoor
was born in 1972. He received the B.Sc. and M.Sc. degree in electrical engineering from Shiraz University, Shiraz, Iran, in 2000, the Ph.D. degree in electrical engineering from Tarbiat Modarres University, Tehran, Iran, in 2006. He is with Shiraz University, Shiraz Branch, Faculty of Engineering, and Computer Engineering Dept., Shiraz /Iran since 2009. His research interests are digital signal processing, digital image processing and machine vision.
M. Javad Zomorodian
was born in 1984. He received the B.Sc. degree in computer engineering from Azad University, Shiraz, Iran, in 2006, the M.Sc. degree in Artificial Intelligence from the University of Shiraz, in 2011.He is with Bahonar Technical College, Shiraz Branch, Faculty of Engineering, and Computer Engineering Dept., Shiraz /Iran since 2010.His research interests are machine learning, data mining, pattern recognition and information retrieval.
Mehdi Neshat
was born in 1980.He received the B.Sc. degree in computer engineering from Azad University, Maybod, Iran, in 2006, the M.Sc. degree in Artificial Intelligence from the University of mashhad, in 2008 and is a member of the IEEE and the IEEE Computer Society He is with Islamic Azad University, Shirvan Branch, Faculty of Engineering, and Computer Engineering Dept., Shirvan /Iran since 2007. His research interests are fuzzy logic, fuzzy systems, and fuzzy neural networks, particle swarm optimization, genetic algorithms, ant colony optimization, and other evolutionary computation techniques.
