OSA's Digital Library

Optics Express

Optics Express

  • Editor: Michael Duncan
  • Vol. 11, Iss. 18 — Sep. 8, 2003
  • pp: 2118–2125

Multispectral principal component imaging

Himadri S. Pal and Mark A. Neifeld  »View Author Affiliations


Optics Express, Vol. 11, Issue 18, pp. 2118-2125 (2003)
http://dx.doi.org/10.1364/OE.11.002118


View Full Text Article

Enhanced HTML    Acrobat PDF (507 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

Abstract

We analyze a novel multispectral imager that directly measures the principal component features of an object. Optical feature extraction is studied for color face images, multi-spectral LANDSAT-7 images, and their grayscale equivalents. Blockwise feature extraction is performed that exploits both spatial and spectral correlation, with the goal of enhancing feature fidelity (i.e., root mean square error). The effect of varying block size, number of features, and detector noise is studied in order to quantify feature fidelity and optimize reconstruction performance. These results are compared with conventional imaging and demonstrate the advantages of the multiplexed approach. Specifically, we find that in addition to reducing the number of detectors within the imager, the reconstruction fidelity (i.e., root mean square error) can be significantly improved using a feature-specific imager.

© 2003 Optical Society of America

OCIS Codes
(100.3010) Image processing : Image reconstruction techniques
(100.5010) Image processing : Pattern recognition
(110.0110) Imaging systems : Imaging systems
(200.4740) Optics in computing : Optical processing

ToC Category:
Focus Issue: Integrated computational imaging systems

History
Original Manuscript: July 9, 2003
Revised Manuscript: August 14, 2003
Published: September 8, 2003

Citation
Himadri Pal and Mark Neifeld, "Multispectral principal component imaging," Opt. Express 11, 2118-2125 (2003)
http://www.opticsinfobase.org/oe/abstract.cfm?URI=oe-11-18-2118


Sort:  Journal  |  Reset  

References

  1. C. J. Oliver, �??Optical image processing by multiplex coding,�?? Appl. Opt. 15, 93�??106 (1976). [CrossRef] [PubMed]
  2. M. P. Christensen, G. W. Euliss, M. J. McFadden, K. M. Coyle, P. Milojkovic, M. W. Haney, J. van der Gracht, and R. A. Athale, �??Active-eyes: an adaptive pixel-by-pixel image segmentation sensor architecture for high-dynamic-range hyperspectral imaging,�?? Appl. Opt. 41, 6093�??6103 (2002). [CrossRef] [PubMed]
  3. E. Clarkson and H.H. Barrett, �??Approximations to ideal-observer performance on signal detection tasks,�?? Appl. Opt. 39, 1783-1793 (2000). [CrossRef]
  4. W.C. Chou, M. A. Neifeld, and R. Xuan, �??Information-based optical design for binary-valued imagery,�?? Appl. Opt. 39, 1731-1742 (2000). [CrossRef]
  5. R.D. Swift, R.B. Wattson, J.A. Decker, R. Paganetti, and M. Harwit, �??Hadamard transform imager and imaging spectrometer,�?? Appl. Opt. 15, 1595-1609 (1976). [CrossRef] [PubMed]
  6. Mark A. Neifeld and Premchandra Shankar, �??Feature-specific imaging,�?? Appl. Opt. 42, 3379-3389 (2003). [CrossRef] [PubMed]
  7. M. Antonini, M. Barlaud, P. Mathieu, and I. Daubechies, �??Image coding using wavelet transform,�?? IEEE Trans. Image. Process. 1, 205-220, (1992). [CrossRef] [PubMed]
  8. S. J. Lee, S. B. Jung, J. K. Kwon, and S. H. Hong, �??Face detection and recognition using PCA,�?? TENCON 99, Proc. IEEE Region Conf. 1, 84-87 (1999).
  9. R. Stephen and E. Richard, Independent Component Analysis: Principles and Practice, Cambridge University Press, Cambridge, UK, 2001, Chap. 1, 1-70.
  10. C. J. Oliver, �??Optical image processing by multiplex coding,�?? Appl. Opt., 15, 93-106 (1976). [CrossRef] [PubMed]
  11. K. Hsu, H. Li, and D. Psaltis, �??Holographic implementation of a fully-connected neural network,�?? Proc. IEEE, 78, 1637-1645 (1990). [CrossRef]
  12. E. Marszalec, B. Martinkauppi, M. Soriano and M. Pietikäinen, �??Physics-based face database for color research,�?? J. Electron. Imaging 9, 1, 32-38, 2000. [CrossRef]
  13. Earth science data interface, Global Land Cover Facility, University of Maryland.
  14. D. S. Taubman and M. W. Marcellin, JPEG2000: Image Compression Fundamentals, Standards, and Practice (Kluwer, Boston, MA, 2002) Chapter 4, 157-158.

Cited By

Alert me when this paper is cited

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.


« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited