Denoising and deblurring of Fourier transform infrared spectroscopic imaging data

Tan H. Nguyen, Rohith K. Reddy, Michael J. Walsh, Matthew Schulmerich, Gabriel Popescu, Minh N. Do, Rohit Bhargava

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Fourier transform infrared (FT-IR) spectroscopic imaging is a powerful tool to obtain chemical information from images of heterogeneous, chemically diverse samples. Significant advances in instrumentation and data processing in the recent past have led to improved instrument design and relatively widespread use of FT-IR imaging, in a variety of systems ranging from biomedical tissue to polymer composites. Various techniques for improving signal to noise ratio (SNR), data collection time and spatial resolution have been proposed previously. In this paper we present an integrated framework that addresses all these factors comprehensively. We utilize the low-rank nature of the data and model the instrument point spread function to denoise data, and then simultaneously deblurr and estimate unknown information from images, using a Bayesian variational approach. We show that more spatial detail and improved image quality can be obtained using the proposed framework. The proposed technique is validated through experiments on a standard USAF target and on prostate tissue specimens.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Computational Imaging X
DOIs
StatePublished - Mar 13 2012
EventComputational Imaging X - Burlingame, CA, United States
Duration: Jan 23 2012Jan 24 2012

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8296
ISSN (Print)0277-786X

Other

OtherComputational Imaging X
CountryUnited States
CityBurlingame, CA
Period1/23/121/24/12

Fingerprint

Deblurring
Denoising
Fourier transform
Fourier transforms
Infrared
Imaging
Tissue
Infrared radiation
Imaging techniques
Polymer Composites
Infrared Imaging
Optical transfer function
Infrared imaging
Variational Approach
Instrumentation
Spatial Resolution
Image Quality
Image quality
Signal to noise ratio
Polymers

Keywords

  • deconvolution
  • FT-IR spectroscopic imaging
  • linear mixture model
  • mid-infrared spectroscopy
  • optics modeling

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

Cite this

Nguyen, T. H., Reddy, R. K., Walsh, M. J., Schulmerich, M., Popescu, G., Do, M. N., & Bhargava, R. (2012). Denoising and deblurring of Fourier transform infrared spectroscopic imaging data. In Proceedings of SPIE-IS and T Electronic Imaging - Computational Imaging X [82960M] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8296). https://doi.org/10.1117/12.921144

Denoising and deblurring of Fourier transform infrared spectroscopic imaging data. / Nguyen, Tan H.; Reddy, Rohith K.; Walsh, Michael J.; Schulmerich, Matthew; Popescu, Gabriel; Do, Minh N.; Bhargava, Rohit.

Proceedings of SPIE-IS and T Electronic Imaging - Computational Imaging X. 2012. 82960M (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8296).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nguyen, TH, Reddy, RK, Walsh, MJ, Schulmerich, M, Popescu, G, Do, MN & Bhargava, R 2012, Denoising and deblurring of Fourier transform infrared spectroscopic imaging data. in Proceedings of SPIE-IS and T Electronic Imaging - Computational Imaging X., 82960M, Proceedings of SPIE - The International Society for Optical Engineering, vol. 8296, Computational Imaging X, Burlingame, CA, United States, 1/23/12. https://doi.org/10.1117/12.921144
Nguyen TH, Reddy RK, Walsh MJ, Schulmerich M, Popescu G, Do MN et al. Denoising and deblurring of Fourier transform infrared spectroscopic imaging data. In Proceedings of SPIE-IS and T Electronic Imaging - Computational Imaging X. 2012. 82960M. (Proceedings of SPIE - The International Society for Optical Engineering). https://doi.org/10.1117/12.921144
Nguyen, Tan H. ; Reddy, Rohith K. ; Walsh, Michael J. ; Schulmerich, Matthew ; Popescu, Gabriel ; Do, Minh N. ; Bhargava, Rohit. / Denoising and deblurring of Fourier transform infrared spectroscopic imaging data. Proceedings of SPIE-IS and T Electronic Imaging - Computational Imaging X. 2012. (Proceedings of SPIE - The International Society for Optical Engineering).
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