Astronomical Spectra Denoising Based on Simplified SURE-LET Wavelet Thresholding

被引：2
|
作者：
Guo, Qiang [1 ]
Pan, Jingchang [2 ]
Jiang, Bin [2 ]
Yi, Zhenping [2 ]
机构：
[1] Shanghai Univ, Sch Comp Engn & Sci, Shanghai, Peoples R China
[2] Shandong Univ, Sch Informat Engn, Weihai, Shandong, Peoples R China
来源：
2008 INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION, VOLS 1-4 | 2008年
关键词：
SHRINKAGE;
D O I：
10.1109/ICINFA.2008.4607982
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The aim of astronomical spectra denoising is to reduce the noise level, while preserving astrophysical information hidden in spectra. Many astronomical spectra denoising approaches exist, in which wavelet thresholding approaches are widely adopted in many literatures. For spectra denoising using wavelet thresholding, the thresholding function greatly influences the quality of the resulting denoised spectra. In this paper, a new orthogonal wavelet-based denoising approach is proposed, which is a composite approach of the simplified SURE-LET thresholding and the soft thresholding. Experimental results demonstrate that higher signal-to-noise ratio (SNR) and better visual quality can be obtained by the proposed approach.
引用
收藏
页码：135 / +
页数：2
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