Joint baseline-correction and denoising for Raman spectra

Area of Science:

• Spectroscopy
• Laser Instrumentation
• Signal Processing

Background:

• Laser instruments are prone to baseline drift and random noise, compromising spectral data quality.
• Effective spectral analysis requires robust methods for baseline correction and noise reduction.

Purpose of the Study:

• To develop a unified model for simultaneous baseline correction and denoising in laser spectroscopy.
• To improve the quality and reliability of spectral data obtained from laser instruments.

Main Methods:

• Utilizing morphological operations for baseline estimation guidance.
• Employing Tikhonov regularization for noise suppression in spectra and baselines.
• Implementing an alternating optimization scheme for latent spectrum estimation and baseline correction.

Main Results:

• The proposed method effectively extracts spectral characteristics and suppresses noise.
• Simultaneous estimation of a smooth spectrum and baseline removal achieved.
• Demonstrated superior performance over existing state-of-the-art methods in qualitative and quantitative assessments.

Conclusions:

• The developed variation model offers a significant advancement in laser spectral data processing.
• Simultaneous baseline correction and denoising enhance spectral quality and analytical accuracy.
• This approach provides a more robust solution for analyzing degraded laser spectra.