摘要
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.
| 源语言 | 英语 |
|---|---|
| 页（从-至） | 264-267 |
| 页数 | 4 |
| 期刊 | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
| 卷 | 26 |
| 期 | 3 |
| 出版状态 | 已出版 - 3月 2006 |
指纹
探究 'Image denoising algorithm based on the red-black wavelet transform' 的科研主题。它们共同构成独一无二的指纹。引用此
Zhou, S. B., Ni, G. Q., Xu, T. F., & Liu, Q. (2006). Image denoising algorithm based on the red-black wavelet transform. Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 26(3), 264-267.