基于离散楔形变换正则化的红外光谱解卷积技术

IF 3.1 3区 物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION
Hai Liu , Suyu Huang , Li Zhao , Guixiang Wang , Li Liu , Chengyue Bai
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引用次数: 0

摘要

红外光谱数据在用于识别未知化学材料时,经常会出现波段重叠和随机噪声。针对这些问题,本文提出了一种新型的基于正则化的未知化学材料检测光谱解卷积方法(DWTSD)。该方法引入了离散楔形变换来分析潜红外光谱和噪声红外光谱之间的差异。仪器响应函数也需要与潜红外光谱同时估计。因此,引入了改进的总变化正则化来限制光谱线的平滑性。然后还引入了分裂 Bregman 迭代算法来优化成本函数。所提出的 DWTSD 方法简单、性能好、计算量低。模拟和真实红外光谱的实验结果表明,所提出的 DWTSD 方法在降噪和生成光谱细节方面具有良好的性能。利用所提出的方法,可以在很大程度上消除仪器老化的问题,使红外光谱重建成为提取未知材料特征及其解释的更便捷工具。该方法的适用性超越了红外光谱学,可用于各种光谱分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Discrete wedgelet transform regularization-based spectral deconvolution for infrared spectroscopy
Infrared spectral data often exhibit band overlap and random noise when it is applied to recognize the unknown chemical materials. To address these issues, a novel regularization-based spectral deconvolution method for unknown chemical material detection (DWTSD) was proposed in this paper. The discrete wedgelet transform is introduced to analyze the difference between the latent infrared spectrum and the noisy infrared spectrum. The instrument response function is also needed to estimate simultaneously with the latent infrared spectrum. Therefore, the improved total variation regularization is introduced to constrain the smoothness of the spectral lines. Then the split Bregman iteration algorithm is also introduced to optimize the cost function. The proposed DWTSD method is simple and offers good performance with low computational load. Experimental results on simulated and real infrared spectrums show that the proposed DWTSD method has good performance in noise reduction and spectral detail generation. With the proposed methodology, the problem of instrument aging can be largely eliminated, making the reconstruction of infrared spectra a more convenient tool for the extraction of features of an unknown material and their interpretation. The applicability of the method transcends infrared spectroscopy, offering utility in a spectrum of spectroscopic analyses.
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来源期刊
CiteScore
5.70
自引率
12.10%
发文量
400
审稿时长
67 days
期刊介绍: The Journal covers the entire field of infrared physics and technology: theory, experiment, application, devices and instrumentation. Infrared'' is defined as covering the near, mid and far infrared (terahertz) regions from 0.75um (750nm) to 1mm (300GHz.) Submissions in the 300GHz to 100GHz region may be accepted at the editors discretion if their content is relevant to shorter wavelengths. Submissions must be primarily concerned with and directly relevant to this spectral region. Its core topics can be summarized as the generation, propagation and detection, of infrared radiation; the associated optics, materials and devices; and its use in all fields of science, industry, engineering and medicine. Infrared techniques occur in many different fields, notably spectroscopy and interferometry; material characterization and processing; atmospheric physics, astronomy and space research. Scientific aspects include lasers, quantum optics, quantum electronics, image processing and semiconductor physics. Some important applications are medical diagnostics and treatment, industrial inspection and environmental monitoring.
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