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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xunbo Yin Jiaqi Zhu |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Math., Harbin Inst. of Technol., Harbin, China (Xunbo Yin) || Center for Composite Mater., Harbin Inst. of Technol., Harbin, China (Jiaqi Zhu) |
| Abstract | In this paper, a new two-phase method for salt-and-pepper noise removal is proposed which combines the adaptive median filter and nonlocal mean filter. In the first phase, the adaptive median filter is used to identity pixels which are likely to be contaminated by noise. In the second phase, the image is restored using the nonlocal mean filter which is firstly proposed for Gaussian noise removal. It has a strong ability to handle textures and repetitive structures. Experimental results show that the proposed algorithm achieved not only high PSNR but also pleasure visual results even when the noise level is high as 90%. |
| Starting Page | 577 |
| Ending Page | 580 |
| File Size | 1492889 |
| Page Count | 4 |
| File Format | |
| DOI | 10.1109/CECNet.2013.6703397 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-11-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image denoise PSNR Image edge detection Signal processing algorithms Adaptive filters Filtering algorithms Salt-and-Pepper noise Image restoration Nonlocal mean filter |
| Content Type | Text |
| Resource Type | Article |
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