@article{(Open Science Index):https://publications.waset.org/pdf/7655,
	  title     = {Image Enhancement using α-Trimmed Mean ε-Filters},
	  author    = {Mahdi Shaneh and  Arash Golibagh Mahyari},
	  country	= {},
	  institution	= {},
	  abstract     = {Image enhancement is the most important challenging preprocessing for almost all applications of Image Processing. By now, various methods such as Median filter, α-trimmed mean filter, etc. have been suggested. It was proved that the α-trimmed mean filter is the modification of median and mean filters. On the other hand, ε-filters have shown excellent performance in suppressing noise. In spite of their simplicity, they achieve good results. However, conventional ε-filter is based on moving average. In this paper, we suggested a new ε-filter which utilizes α-trimmed mean. We argue that this new method gives better outcomes compared to previous ones and the experimental results confirmed this claim.
},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {5},
	  number    = {11},
	  year      = {2011},
	  pages     = {1491 - 1494},
	  ee        = {https://publications.waset.org/pdf/7655},
	  url   	= {https://publications.waset.org/vol/59},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 59, 2011},
	}