Impulsive noise reduction in Raman spectroscopy images

Luis Quintero; Milos Miljkovic; Shawn Hunt; Christian Matthäus; Max Diem

doi:10.1117/12.842855

16 March 2010 Impulsive noise reduction in Raman spectroscopy images

Luis Quintero, Milos Miljkovic, Shawn Hunt, Christian Matthäus, Max Diem

Proceedings Volume 7568, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues VIII; 75681I (2010) https://doi.org/10.1117/12.842855
Event: SPIE BiOS, 2010, San Francisco, California, United States

Abstract

Charge-Coupled Device (CCD) detectors are becoming more popular in spectroscopy instrumentation. In spite of technological advances, spurious signals and noise are unavoidable in Raman spectroscopes. In general, the noise comes from two major sources, impulsive noise caused by high energy radiation from local or extraterrestrial sources (cosmic rays), and noise produced in Raman backscattering estimation. In this work, two algorithms for impulsive noise removal are presented, based in spectral and spatial features of the noise. The algorithms combine pattern recognition and classical filtering techniques to identify the impulses. Once an impulse has been identified, it is removed and substituted with data points having similar statistical properties as the surrounding data.

Citation Download Citation

Luis Quintero, Milos Miljkovic, Shawn Hunt, Christian Matthäus, and Max Diem "Impulsive noise reduction in Raman spectroscopy images", Proc. SPIE 7568, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues VIII, 75681I (16 March 2010); https://doi.org/10.1117/12.842855

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available