Statistics of real-world hyperspectral images

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2011, Pages 193-200

  Chakrabarti, Ayan ^a   Zickler, Todd ^a  

^a HARVARD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

INDEPENDENT COMPONENT ANALYSIS; PATTERN RECOGNITION; SPECTRAL RESOLUTION; VISION;

HYPERSPECTRAL DATA; IRRADIANCE MEASUREMENT; NARROW BANDS; OUTDOOR SCENES; RELIGHTING; VISIBLE SPECTRA; VISION SYSTEMS; VISUAL TASKS;

SPECTROSCOPY;

EID: 80052912463     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2011.5995660     Document Type: Conference Paper

References (41)

1. R. Baddeley, P. Hancock, and L. Smith. Principal components of natural images. Network, 3:61-70, 1992.
2. E. Belluco, M. Camuffo, S. Ferrari, L. Modenese, S. Silvestri, A. Marani, and M. Marani. Mapping salt-marsh vegetation by multispectral and hyperspectral remote sensing. Remote sensing of environment, 105(1):54-67, 2006.
3. M. Borengasser, W. Hungate, and R. Watkins. Hyperspectral remote sensing: principles and applications. CRC, 2008.
4. J. Cai, H. Ji, C. Liu, and Z. Shen. Blind motion deblurring from a single image using sparse approximation. In Proc. CVPR, 2009.
5. A. Castrodad, Z. Xing, J. Greer, E. Bosch, L. Carin, and G. Sapiro. Discriminative Sparse Representations in Hyperspectral Imagery. In Proc. ICIP, 2010.
6. A. Chakrabarti, K. Hirakawa, and T. Zickler. Color constancy beyond bags of pixels. In Proc. CVPR, 2008.
7. H. Choi and R. Baraniuk. Multiscale image segmentation using wavelet-domain hidden Markov models. IEEE Trans. Imag. Proc., 10(9):1309-1321, 2002.
8. M. Crouse, R. Nowak, and R. Baraniuk. Wavelet-based statistical signal processing using hidden Markov models. IEEE Trans. Sig. Proc., 46(4):886-902, 1998.
9. A. Dempster, N. Laird, and D. Rubin. Maximum likelihood from incomplete data via the EM algorithm. J. of the Royal Stat. Soc. B, 39(1):1-38, 1977.
10. D. Dicker, J. Lerner, P. Van Belle, S. Barth, D. Guerry, et al. Differentiation of normal skin and melanoma using high resolution hyperspectral imaging. Cancer biology & therapy, 5(8):1033, 2006.
11. H. Du, X. Tong, X. Cao, and S. Lin. A prism-based system for multispectral video acquisition. In Proc. ICCV, 2009.
12. M. Elad and M. Aharon. Image denoising via sparse and redundant representations over learned dictionaries. IEEE Trans. Imag. Proc., 15(12):3736-3745, 2006.
13. D. Foster, S. Nascimento, and K. Amano. Information limits on neural identification of colored surfaces in natural scenes. Visual neuroscience, 21(03):331-336, 2004.
14. B. Gunturk, J. Glotzbach, Y. Altunbasak, R. Schafer, and R. Mersereau. Demosaicking: color filter array interpolation. IEEE Sig. Proc. Magazine, 22(1):44-54, 2005.
15. G. Heidemann. The principal components of natural images revisited. IEEE Trans. PAMI, 28(5):822-826, 2006.
16. K. Hirakawa and T. Parks. Adaptive homogeneity-directed demosaicing algorithm. In Proc. ICIP, 2003.
17. S. Hordley, G. Finalyson, and P. Morovic. A multi-spectral image database and its application to image rendering across illumination. In Proc. Int. Conf. on Image and Graphics, 2004.
18. S. Lansel, M. Parmar, and B. A. Wandell. Dictionaries for sparse representation and recovery of reflectances. In Proc. SPIE, Comp. Imaging VII, 2009.
19. T. Lee, T. Wachtler, and T. Sejnowski. The spectral independent components of natural scenes. In Biologically Motivated Comp. Vis., 2000.
20. J. Mairal, M. Elad, and G. Sapiro. Sparse representation for color image restoration. IEEE Trans. Imag. Proc., 17(1):53-69, 2007.
21. D. Marimont and B. Wandell. Linear models of surface and illuminant spectra. JOSA A, 9(11):1905-1913, 1992.
22. F. Melgani and L. Bruzzone. Classification of hyperspectral remote sensing images with support vector machines. IEEE Trans. Geoscience and Remote Sensing, 42(8):1778-1790, 2004.
23. M. Oren, C. Papageorgiou, P. Sinha, E. Osuna, and T. Poggio. Pedestrian detection using wavelet templates. In Proc. CVPR, 1997.
24. J. Park, M. Lee, M. Grossberg, and S. Nayar. Multispectral Imaging Using Multiplexed Illumination. In Proc. ICCV, 2007.
25. J. Parkkinen, J. Hallikainen, and T. Jaaskelainen. Characteristic spectra of Munsell colors. JOSA A, 6(2):318-322, 1989.
26. M. Parmar, S. Lansel, and B. A. Wandell. Spatio-spectral reconstruction of the multispectral datacube using sparse recovery. In Proc. ICIP, pages 473-476, Oct. 2008.
27. C. Párraga, T. Troscianko, and D. Tolhurst. Spatiochromatic properties of natural images and human vision. Current Biology, 12(6):483-487, 2002.
28. J. Portilla, V. Strela, M. Wainwright, and E. Simoncelli. Image denoising using Gaussian scale mixtures in the wavelet domain. IEEE Trans. Imag. Proc., 12(11):1338-1351, 2003.
29. L. Randeberg, I. Baarstad, T. Løke, P. Kaspersen, and L. Svaasand. Hyperspectral imaging of bruised skin. In Proc. SPIE, 2006.
30. S. Roth and M. Black. Fields of experts: A framework for learning image priors. In Proc. CVPR, 2005.
31. R. Rowe, K. Nixon, and S. Corcoran. Multispectral fingerprint biometrics. In Proc. Info. Assurance Workshop, 2005.
32. D. Ruderman, T. Cronin, and C. Chiao. Statistics of cone responses to natural images: implications for visual coding. JOSA A, 15:2036-2045, 1998.
33. G. Stamatas, C. Balas, and N. Kollias. Hyperspectral image acquisition and analysis of skin. In Proc. SPIE, 2003.
34. M. Tappen, W. Freeman, and E. Adelson. Recovering intrinsic images from a single image. IEEE Trans. PAMI, pages 1459-1472, 2005.
35. E. Underwood, S. Ustin, and D. DiPietro. Mapping nonnative plants using hyperspectral imagery. Remote Sensing of Environment, 86(2):150-161, 2003.
36. M. Unser. Texture classification and segmentation using wavelet frames. IEEE Trans. Imag. Proc., 4(11):1549-1560, 2002.
37. J. Van de Weijer and T. Gevers. Color constancy based on the grey-edge hypothesis. In Proc. CVPR, 2005.
38. T. Wachtler, T. Lee, and T. Sejnowski. Chromatic structure of natural scenes. JOSA A, 18(1):65-77, 2001.
39. Y. Weiss and W. Freeman. What makes a good model of natural images? In Proc. CVPR, 2007.
40. G. Wyzecki and W. Stiles. Color Science. Concepts and Methods, Quantitative Data and Formulae, 1982.
41. F. Yasuma, T. Mitsunaga, D. Iso, and S. Nayar. Generalized assorted pixel camera: Post-capture control of resolution, dynamic range and spectrum. Technical Report CUCS-061-08, Columbia University, 2008.