<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/1444" mdate="2008-07-22 00:00:00"> <author>Mahmoud Saeidi and Khadijeh Saeidi and Mahmoud Khaleghi</author> <title>Noise Reduction in Image Sequences using an Effective Fuzzy Algorithm</title> <pages>2540 - 2545</pages> <year>2008</year> <volume>2</volume> <number>7</number> <journal>International Journal of Computer and Information Engineering</journal> <ee>https://publications.waset.org/pdf/1444</ee> <url>https://publications.waset.org/vol/19</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <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 17. 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 doesnt need any estimation of motion trajectory. The proposed algorithm admissibly removes noise without having any knowledge of Salt and Pepper noise density.</abstract> <index>Open Science Index 19, 2008</index> </article>