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Noise Reduction in Image Sequences using an Effective Fuzzy Algorithm
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.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1055208Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1590
 C. Jing, Y. Jinsheng and D. Runtao, "Fuzzy Weighted Average Filter" IEEE 5th International Conf. on signal processing, Sch. of electron.inf.eng., Tianjin Univ., China, 21-25 Aug. 2000.
 C.S. Lee, Y.H. Kuo and P.T.YU, "Weighted Fuzzy Mean Filters for Heavy-Tailed Noise Removal" Proc. IEEE. On image processing. PP. 601-606 (1995).
 M.B.Alp and Y.Neuvo, "3-dimensional median filters for image sequence processing", in IEEE Proc. Int. Conf. Acoust., Speech, and Signal Proc., vol. 4, (Toronto, Canada), PP. 2917-2920, May 14-17 1991.
 Ho, S.-J.; Lee, Y.H., " Nonlinear spatiotemporal noise suppression techniques with application in image sequence processing ", Circuits and Systems, 1991 IEEE International Symposium, volume : 1, 1991 page(s) : 662-665 vol.1.
 M. Saeidi, S.A. Motamedi, A. Behrad, "A NEW NONLINEAR FILTER USING CONSECUTIVE FRAMES", IASTED Int. Conf. Circuits, Signals, and Systems, November 20, 2006.
 J. Boyce, "Noise reduction of image sequences using adaptive motion compensated frame averaging", in IEEE Int. Conf. Acoustics, speech, signal processing. San Francisco, CA, Mar. 1992, PP.461-464.
 M. Saeidi, S.A. Motamedi, A. Behrad, B. Saeidi, R. Saeidi, "Image Sequences Filtering using Adaptive Weighted Averaging Filter without Estimating Noise Variance", IASTED Int. Conf. Visualization, Imaging, and Image Processing, September 9, 2005.
 Alireza Behrad, Ali Shahrokni, Seyed Ahmad Motamedi, Kurosh Madani,"A Robust Vision-based Moving Target Detection and Tracking System", Proceeding of Image and Vision Computing conference (IVCNZ2001), University of Otego, Dunedin, New Zealand 26th -28th November 2001.