@article{(Open Science Index):https://publications.waset.org/pdf/1444,
	  title     = {Noise Reduction in Image Sequences using an Effective Fuzzy Algorithm},
	  author    = {Mahmoud Saeidi and  Khadijeh Saeidi and  Mahmoud Khaleghi},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper, we propose a novel spatiotemporal fuzzy
based algorithm for noise filtering of image sequences. Our proposed algorithm uses adaptive weights based on a triangular membership
functions. In this algorithm median filter is used to suppress noise.
Experimental results show when the images are corrupted by highdensity
Salt and Pepper noise, our fuzzy based algorithm for noise filtering of image sequences, are much more effective in suppressing
noise and preserving edges than the previously reported algorithms such as [1-7]. Indeed, assigned weights to noisy pixels are very
adaptive so that they well make use of correlation of pixels. On the other hand, the motion estimation methods are erroneous and in highdensity noise they may degrade the filter performance. Therefore, our
proposed fuzzy algorithm doesn-t need any estimation of motion trajectory. The proposed algorithm admissibly removes noise without having any knowledge of Salt and Pepper noise density.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {2},
	  number    = {7},
	  year      = {2008},
	  pages     = {2540 - 2545},
	  ee        = {https://publications.waset.org/pdf/1444},
	  url   	= {https://publications.waset.org/vol/19},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 19, 2008},
	}