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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chen Bo Geng Zexun Yang Yang Liu Xiaosong |
| Copyright Year | 2007 |
| Description | Author affiliation: Inf. Eng. Univ. of PLA, Zhengzhou (Chen Bo; Geng Zexun) |
| Abstract | Image denoising that is a kind of basal pre- treatment can improve visual effect of original images. Rough set is a new mathematical tool to deal with problems on vagueness and uncertainty. It is regarded as a soft computation method. Being the same as fuzzy method, genetic algorithm, neural networks, it is an intellective information processing method. Rough set applies to gray image, and a new image median denoising algorithm based on rough set (RSMD) is proposed in this paper. Comparing experiments are done using classical median denoising (CMD) and the denoising algorithm presented in this paper. Experimental results show that the new algorithm denoising outperforms the classical median denoising. |
| Starting Page | 75 |
| Ending Page | 78 |
| File Size | 448197 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769529097 |
| DOI | 10.1109/SNPD.2007.201 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-07-30 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Uncertainty Noise reduction Programmable logic arrays Visual effects Partitioning algorithms Application software Artificial intelligence Distributed computing Image denoising Software engineering |
| Content Type | Text |
| Resource Type | Article |
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