Near infrared spectrum denoising method combining lifting wavelet and SG filtering

A near-infrared spectrum and wavelet coefficient technology, applied in the field of near-infrared spectrum denoising, can solve the problems of poor denoising effect, low root mean square error, high signal-to-noise ratio, etc., to achieve small root mean square error, signal-to-noise The effect of high ratio and improved analysis accuracy

Inactive Publication Date: 2021-10-22
SOUTHWEST UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At present, the commonly used single denoising methods such as median filter, wavelet denoising, and mean filter are difficult to obtain high signal-to-noise ratio and low root mean square error, and the denoising effect is not good.

Method used

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  • Near infrared spectrum denoising method combining lifting wavelet and SG filtering
  • Near infrared spectrum denoising method combining lifting wavelet and SG filtering
  • Near infrared spectrum denoising method combining lifting wavelet and SG filtering

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Embodiment Construction

[0038] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic concept of the present invention, and the following embodiments and the features in the embodiments can be combined with each other in the case of no conflict.

[0039] Wherein, the accompanying drawings are for illustrative purposes only, and represent only schematic diagrams, rather than physical drawings, and should...

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Abstract

The invention relates to a near infrared spectrum denoising method combining lifting wavelet and SG filtering, and belongs to the technical field of near infrared spectrum signal preprocessing. The method includes: carrying out lifting wavelet decomposition on the noisy near infrared spectrum signal to obtain a multilayer wavelet coefficient; performing hard threshold de-noising on the high-frequency coefficient of each layer to obtain a de-noised wavelet coefficient; performing lifting wavelet inverse transformation reconstruction on the denoised wavelet coefficient to obtain a near infrared spectrum signal after preliminary denoising; and finally, carrying out Savitzky-Golay filtering (SG filtering) on the reconstructed near infrared spectrum signal, so as to obtain a final near infrared spectrum signal after denoising. The signal-to-noise ratio of the denoised near infrared spectrum and the original spectrum is high, and the root-mean-square error is low; the denoising effect is thorough, obvious signal distortion is avoided, and the near infrared spectrum analysis precision is improved.

Description

technical field [0001] The invention belongs to the technical field of near-infrared spectrum signal preprocessing, and relates to a near-infrared spectrum denoising method combining lifting wavelet and SG filter. Background technique [0002] Near-infrared spectrum is the electromagnetic spectrum between 780-2526nm, mainly due to the non-resonance of molecular vibration, which is generated when the molecular vibration transitions from the ground state to a high energy level, and has strong penetrating ability. The frequency of this spectral region is consistent with the multiplier and combined frequency of the vibration frequencies of the main groups of organic molecules (CH, NH, OH and other hydrogen-containing groups), so it can be used for qualitative analysis of most organic molecules containing hydrogen bonds. identify. The use of near-infrared spectroscopy for sample detection is rich in information, and has the characteristics of non-destructive, fast, convenient, a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T5/00
CPCG06T7/0002G06T5/002G06T2207/10048G06T2207/20064
Inventor 顾雯雯尹欣慧
Owner SOUTHWEST UNIV
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