Research on denoising methods of linear CCD spectrum data using combined filter based on wavelet threshold

Zhang Long, Wu Guoxin, Di Chunyan, Lu Jiwei
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Abstract

Due to the influence of various factors, such as the test environment, the instrument itself and the target's spectrum characteristics, the measured linear CCD spectrum data contains noise. If the noise can not be removed effectively, the results of spectrum detection will be affected. Since the noise contained in the linear CCD spectrum data is mainly Gauss white noise and impulsive noise, a combined filter method based on wavelet threshold and median filter is proposed to denoise the linear CCD spectrum data in this paper. The simulation spectrum data and the measured spectrum data captured by spectrum instrument are used to check the validity of this method. The simulation results show that using the combined filter method, the noise of the spectrum data can be effectively reduced, and the signal-to-noise ratio of the spectrum signal is improved.
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基于小波阈值的线阵CCD光谱数据组合滤波去噪方法研究
由于测试环境、仪器本身和目标物的光谱特性等多种因素的影响,测量的线阵CCD光谱数据中存在噪声。如果不能有效去除噪声,则会影响频谱检测的结果。针对线阵CCD光谱数据中包含的噪声主要是高斯白噪声和脉冲噪声,本文提出了一种基于小波阈值和中值滤波的组合滤波方法对线阵CCD光谱数据进行降噪。利用谱仪采集的模拟光谱数据和实测光谱数据验证了该方法的有效性。仿真结果表明,采用组合滤波方法可以有效地降低频谱数据的噪声,提高频谱信号的信噪比。
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