A de-noising algorithm dealing with spectral signal in color measurement based on wavelet transform

被引：0

作者：

Li, HaiLong ^{[1
]}

Xu, Jun ^{[1
]}

Jia, Wen ^{[1
]}

Zhu, Sheng ^{[1
]}

Li, Sha ^{[1
]}

Wu, MengMeng ^{[1
]}

Yi, Bo ^{[1
]}

机构：

[1] Univ Sci & Technol China, Dept Phys, Hefei 230026, Anhui, Peoples R China

来源：

SENSORS, MEASUREMENT AND INTELLIGENT MATERIALS, PTS 1-4 | 2013年 / 303-306卷

关键词：

Color Measurement; Colorimeter; Spectral Analysis; Wavelet Transform; De-noising Algorithm; Threshold;

D O I：

10.4028/www.scientific.net/AMM.303-306.1043

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Spectral measurement is a common method for color measurement. Spectral data of color samples gathered by spectrometers contains a series of noises. The traditional de-noising methods have their limitation in dealing with such signal. In this paper, a de-noising method is proposed for spectral signal based on Wavelet Transform. Compared the performance of our de-nosing method with the traditional method, the results show that our method a better effect.

引用

页码：1043 / 1047

页数：5

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