The inpainting of hyperspectral images: A survey and adaptation to hyperspectral data

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 8537, Issue , 2012, Pages

  Chen, Alex ^a  

^a UNIVERSITY OF NORTH CAROLINA   (United States)

Author keywords

Edge preservation; Hyperspectral imaging; Inpainting; Interpolation; Low dimensional projection; Variational methods

Indexed keywords

EDGE PRESERVATIONS; HYPERSPECTRAL IMAGING; INPAINTING; LOW DIMENSIONAL; VARIATIONAL METHODS;

IMAGE RECONSTRUCTION; INTERPOLATION; REMOTE SENSING; SIGNAL PROCESSING; SPACE OPTICS; SURVEYS;

SPECTROSCOPY;

EID: 84875664996     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.974696     Document Type: Conference Paper

References (21)

1. Aspinall, R. J., Marcus, W. A., and Boardman, J. W., "Considerations in collecting, processing, and analysing high spatial resolution hyperspectral data for environmental investigations," Journal of geographical systems 4, 15-29 (2002).
2. Chen, A., Bertozzi, A. L., Ashby, P. D., Getreuer, P., and Lou, Y., "Enhancement and recovery in atomic force microscopy images," in [Proceedings of the FFT], Benedetto, J., ed., Springer-Birkhauser (2012). To appear.
3. Rudin, L., Osher, S., and Fatemi, E., "Nonlinear total variation based noise removal algorithms," Physica D 60, 259-268 (1992).
4. Buades, A., Coll, B., and Morel, J.-M., "A non-local algorithm for image denoising," in [CVPR], 60-65 (2005).
5. Martin-Herrero, J., "Anisotropic diffusion in the hypercube," IEEE Transactions on Geoscience and Remote Sensing 45, 1386-1398 (May 2007).
6. Tschumperlé, D. and Deriche, R., "Vector-valued image regularization with PDEs: A common framework for different applications," IEEE PAMI 27, 506-517 (April 2005).
7. Mendez-Rial, R., Calvino-Cancela, M., and Martin-Herrero, J., "Anisotropic inpainting on the hypercube," IEEE Transactions on Geoscience and Remote Sensing 9, 214-218 (March 2012).
8. Shippert, P., "Introduction to hyperspectral image analysis," Online J. of Space Commun. (2003).
9. Yunas, R., Goetz, A., and Boardman, J., "Discrimination among semi-arid landscape endmembers using the spectral angle mapper (SAM) algorithm," in [Summaries of the Third Annual JPL Airborne Geoscience Workshop], 147-149 (1992).
10. Schoenlieb, C.-B. and Bertozzi, A., "Unconditionally stable schemes for higher order inpainting," Comm. Math. Sci. 9(2), 413-457 (2011).
11. Chan, T. and Shen, J., "Variational image inpainting," Comm. Pure Applied Math 58, 579-619 (2005).
12. Guo, Z., Wittman, T., and Osher, S., "L1 unmixing and its application to hyperspectral image enhancement," in [Proc. SPIE Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV], (April 2009).
13. Getreuer, P., "Linear methods for image interpolation," accessed April 18, 2011.
14. Getreuer, P., "Image zooming with contour stencils," in [Proc. SPIE], 7257 (2009).
15. Getreuer, P., "Contour stencils: Total variation along curves for adaptive image interpolation," SIAM J. on Imaging Sciences 4 (2011).
16. Chan, T., Kang, S., and Shen, J., "Euler's elastica and curvature-based inpainting," SIAM J. Appl. Math. 63(2), 564-592 (2002).
17. Tumblin, J. and Turk, G., "LCIS: A boundary hierarchy for detail-preserving contrast reduction," in [Siggraph, Computer Graphics Proceedings], 83-90 (1999).
18. Perona, P. and Malik, J., "Scale-space and edge detection using anisotropic diffusion," IEEE Trans. Pattern Anal. Machine Intell. 12(7), 629-639 (1990).
19. Bachmann, C. M., Ainsworth, T. L., and Fusina, R. A., "Exploiting manifold geometry in hyperspectral imagery," IEEE Transactions on Geoscience and Remote Sensing 43(3), 441-454 (2005).
20. Bachmann, C. M., Ainsworth, T. L., and Fusina, R. A., "Improved manifold coordinate representations of large scale hyperspectral imagery," IEEE Transactions on Geoscience and Remote Sensing 44(10), 2786-2803 (2006).
21. "Urban hyperspectral data set." HYDICE sensor imagery.