Abstract
Based on the red-black wavelet transform, a new thresholding for image denoising is proposed. Combing the characteristics of affine and non-negative thresholding, this method can keep a better balance between image details and it's denoising. After simulation on a multitude of images, eight different thresholding weights applied to as many as eight levels of red-black wavelet transforms have been proposed. Simulation proves that by combining the thresholding and the eight weights better results can be achieved.
| Original language | English |
|---|---|
| Pages (from-to) | 264-267 |
| Number of pages | 4 |
| Journal | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
| Volume | 26 |
| Issue number | 3 |
| Publication status | Published - Mar 2006 |
Keywords
- Affine thresholding
- Image denoising
- Non-negative garrote thresholding
- Red-black wavelet