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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Liqiang Shi |
| Copyright Year | 2015 |
| Description | Author affiliation: Univ. of Sci. & Technol. of China, Hefei, China (Liqiang Shi) |
| Abstract | Wavelet theory has been developed rapidly in recent years, which has increasingly wide application in image denoising. It is very important to select threshold function and threshold in wavelet threshold denoising algorithm. Different selections will affect the denoising effect directly. In the paper, traditional soft and hard threshold functions were further analyzed and studied, advantages of denoising performances in both soft and hard threshold functions were combined for proposing an improved threshold function. Threshold proposed by Donoho was improved according to characteristics of wavelet decomposition layers and noise wavelet coefficient in the paper. Different wavelet basis and decomposition layers were compared in order to optimize simulation results in the paper. Then, appropriate wavelet basis and decomposition layers were selected for experiment. The experimental results showed that denoising method proposed in the paper can effectively eliminate the noise in the image with good edge information protection and visual effect. |
| Sponsorship | Hunan Inst. Ind. |
| Starting Page | 109 |
| Ending Page | 113 |
| File Size | 396138 |
| Page Count | 5 |
| File Format | |
| e-ISBN | 9781467371438 |
| DOI | 10.1109/ICMTMA.2015.33 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-06-13 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wavelet domain Gaussian noise Noise reduction threshold value wavelet image denoising Image denoising Wavelet coefficients |
| Content Type | Text |
| Resource Type | Article |
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