| Título: | Underground Image Denoising |
| Autores: |
Ye, Zhang; Xinxiang University Meng, Jia; Xinxiang University |
| Fecha: | 2013-12-29 |
| Publicador: | TELKOMNIKA: Indonesian journal of electrical engineering |
| Fuente: |
 |
| Tipo: |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| Tema: | No aplica |
| Descripción: | A Mixed Window Shrink and BayesShrink Image Denoising Algorithm Based on Curve let Transform is proposed in this paper. Curve let transform is effective in presenting line and surface property of image. In the proposed algorithm, Curvelet transform is employed for the first stage, then according the theory of image demising method based on Wavelet transform, we combine Window Shrink and BayesShrink denoising algorithm to perform noise reduction. Experiment results show that the proposed algorithm is competitive to Wavelet transform in terms of Peak Signal to Noise Ratio (PSNR) and denoising image quality. |
| Idioma: | No aplica |