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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ying Yang Yusen Wei Ming Yang |
| Copyright Year | 2014 |
| Description | Author affiliation: Project Manage. Dept.1, ZTE R&D Center, Xi'an, China (Ming Yang) || Dept. of Electron. Eng., Xi'an Univ. of Technol., Xi'an, China (Ying Yang; Yusen Wei) |
| Abstract | The artifacts arising from the imaging devices decrease the accuracy of medical diagnosis. In order to decrease the effect of artifacts, the neighboring coefficients preservation scheme is extended to remove the noise in the medical images. If the magnitude of a coefficient is larger than the threshold, all its neighboring coefficients will be preserved in the thresholding denoising in our studies. Every coefficient is properly processed by considering its neighboring characteristics so that the performance of image denoising can be effectively improved. Several denoising methods were used to compare with our method. The numerical results and visual perceptions illustrated that our method was superior to the conventional thresholding denoising methods and could be effectively used for different medical images denoising. |
| Starting Page | 149 |
| Ending Page | 154 |
| File Size | 8318541 |
| Page Count | 6 |
| File Format | |
| ISSN | 21579563 |
| e-ISBN | 9781479951512 |
| DOI | 10.1109/ICNC.2014.6975826 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-08-19 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wavelet transforms PSNR Wavelet transform Neighboring coefficients Noise reduction Medical images Medical diagnostic imaging Image denoising |
| Content Type | Text |
| Resource Type | Article |
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