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	A new approach for the removal of mixed noise based on wavelet transform (EI CONFERENCE) 会议论文 OAI收割 ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China 作者: Li Y.; Li Y.; Li Y.; Li Y. 收藏 \| 浏览/下载：38/0 \| 提交时间：2013/03/25 This paper proposed a new approach for the removal of mixed noise. There are many different ways in image denoising. Donoho et al have proposed a method for image de-noising by thresholding ambiguity is often resulted in determining the correspondence of a modulus maximum to a singularity. In the light and indeed we combine the merits of the two techniques to form a new approach for the removal of mixed noise. At first the application of their method to image denoising has been extremely successful. But the method of Donoho is based on the assumption that the type of noise is only additive Gaussian noise we used wavelet singularity detection (WSD) technique to analyze singularities of signal and noise. According to the characteristic that wavelet transform modulus maxima of impulse noise rapidly decreases as the scale increases in wavelet domain which is not successful for impulse noise. Mallat has also presented a method for signal denoising by discriminating the noise and the signal singularities through an analysis of their wavelet transform modulus maxima (WTMM). Nevertheless it can be accurately located with multiscale space by going through dyadic orthogonal wavelet transform and removed. Furthermore the Gaussian noise is also removed through a level-dependent thresholding algorithm the tracing of WTMM is not just tedious procedure computationally algorithm. The experimental results demonstrate that the proposed method can effectively detect impulse noise and remove almost all of the noise while preserve image details very well.
	A fingerprint identification algorithm by clustering similarity 期刊论文 OAI收割 SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES, 2005, 卷号: 48, 期号: 4, 页码: 437-451 作者: Tian, J; He, YL; Chen, H; Yang, X; Tian, Jie 收藏 \| 浏览/下载：16/0 \| 提交时间：2015/11/06 dyadic scale space (DSS) minutia-simplex multi-resolution comprehensive similarity
	Fingerprint enhancement with dyadic scale-space 期刊论文 OAI收割 PATTERN RECOGNITION LETTERS, 2004, 卷号: 25, 期号: 11, 页码: 1273-1284 作者: Cheng, JG; Tian, H 收藏 \| 浏览/下载：20/0 \| 提交时间：2015/09/23 fingerprint enhancement minutiae dyadic scale space
	指纹图像分析及其自动识别学位论文 OAI收割工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2004 作者: 程建刚收藏 \| 浏览/下载：69/0 \| 提交时间：2015/09/02 指纹增强指纹特征指纹匹配多尽度理论非线性扩散滤波 Hough变换 Fingerprint Enhancement Feature Matching Dyadic scale space theory non-linear diffusion filter Hough transform
	Dyadic scale space 期刊论文 OAI收割 PATTERN RECOGNITION, 1997, 卷号: 30, 期号: 2, 页码: 339-352 作者: Cong, G; Ma, SD \| 收藏 \| 浏览/下载：23/0 \| 提交时间：2018/10/10 Multiscale Signal Processing Scale Space Dyadic Scale Space Interpolation Feature Detection Approximating Gaussian Zero-crossing