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Content Provider | IEEE Xplore Digital Library |
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Author | Rahman, T. Uddin, M.S. |
Copyright Year | 2014 |
Description | Author affiliation: Dept. of Comput. Sci. & Eng., Jahangirnagar Univ., Dhaka, Bangladesh (Rahman, T.; Uddin, M.S.) |
Abstract | Low density impulse noise can be successfully denoised by traditional median filter. But the performance badly deteriorates if the noise density is high. Recently fuzzy-based adaptive median filter has been introduced to handle high density noise in grayscale images. To make it more generalized in this paper we develop an adaptive fuzzy median filter to remove impulse noise from color images. Here we use fuzzy filter with fully adaptive and automatically adjustable threshold value on each component of RGB color space to remove the noise. Finally concatenation is applied to RGB components for restoring the original image. Experimental result confirms the superiority of the proposed method compared to the state-of-the-art median filtering approaches in terms of both denoising and detail preservation. |
Starting Page | 1 |
Ending Page | 5 |
File Size | 3315911 |
Page Count | 5 |
File Format | |
ISBN | 9781479948208 |
e-ISBN | 9781479948192 |
DOI | 10.1109/ICEEICT.2014.6919165 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2014-04-10 |
Publisher Place | Bangladesh |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Threshold value Peak signal to noise ratio Maximum likelihood detection PSNR Adaptive filters Nonlinear filters Color Filtering algorithms Impulse noise Adaptive fuzzy median filter Mean square error |
Content Type | Text |
Resource Type | Article |
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