Denoising method for infrared spectral data based on non-subsampled wavelet transform

Zong Jingguo; Qin Hanlin; He Guojing; Yuan Shengchun; Liu Delian; Zhao Xiaoming

doi:10.3788/HPLPB20132505.1105

Volume 25 Issue 05

Mar. 2013

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Article Navigation > High Power Laser and Particle Beams > 2013 > 25(05): 1105-1109

Cao Yibing, He Juntao, Zhang Jiande, et al. Excitation system of low-impedance foilless transition-radiation oscillator[J]. High Power Laser and Particle Beams, 2012, 24: 2709-2712. doi: 10.3788/HPLPB20122411.2709

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Zong Jingguo, Qin Hanlin, He Guojing, et al. Denoising method for infrared spectral data based on non-subsampled wavelet transform[J]. High Power Laser and Particle Beams, 2013, 25: 1105-1109. doi: 10.3788/HPLPB20132505.1105

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Denoising method for infrared spectral data based on non-subsampled wavelet transform

doi: 10.3788/HPLPB20132505.1105

1.
School of Technical Physics,Xidian University,Xi’an 710071,China

Received Date: 2012-08-05
Rev Recd Date: 2013-01-18
Publish Date: 2013-03-12

Abstract

Abstract

To reduce the impact of noise on infrared spectral signal measurement, a denoising method based on non-subsampled wavelet transform(NSWT) is proposed. In this method, original spectrum signal is decomposed in multi-scale with NSWT. According to the difference between signal and noise in the scales, sub-band coefficients from the decomposition are adjusted by resolving correlated variational partial differential equations. Signal and noise can then be separated in re-composing the sub-bands. Experiments were conducted for denoising performance comparison between traditional wavelet method and our method. The experiment results show that our method is much better in denoising and signal shapes keeping. The mean square error of our method is also less than that of the traditional method.
- infrared spectral data,
- spectral denoising,
- non-subsampled wavelet transform,
- variational partial differential equation

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