Analysis of compression methods applied to hyperspectral images

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4885, Issue , 2002, Pages 389-400

  Serra Sagristà, Joan ^a   Gavilán, David ^a   Minguillón, Julià ^a  

^a UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

Author keywords

JPEG2K standard; Lattice vector quantization; Multi and hyperspectral images; Still image coding; Wavelet subband transform

Indexed keywords

IMAGE CODING; IMAGE COMPRESSION; IMAGE QUALITY; IMAGING TECHNIQUES; TREES (MATHEMATICS); VECTOR QUANTIZATION; WAVELET TRANSFORMS;

HYPERSPECTRAL IMAGES; LATTICE VECTOR QUANTIZER; LOSSY COMPRESSION METHODS;

IMAGE ANALYSIS;

EID: 0037613349     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.463139     Document Type: Conference Paper

References (27)

1. I. Daubechies, "Orthonormal bases of compactly supported wavelets," Communications of Pure Applied Mathemathics 41, pp. 909-996, 1988.
2. S. Mallat, "A theory for multiresolution signal decomposition: The wavelet representation," IEEE Transactions on Pattern Analysis and Machine Intelligence 11, July 1989.
3. A. Gersho and R. M. Gray, Vector Quantization and Signal Compression, Communications and Information Theory, Kluwer Academic Publishers, Norwell, MA, USA, 1992.
4. M. Antonini, M. Barlaud, P. Mathieu, and I. Daubenchies, "Image coding using wavelet transform," IEEE Transaction on Image Processing 1, pp. 205-220, Apr. 1992.
5. T. Senoo and B. Girod, "Vector quantization for entropy coding of image subbands," IEEE Transactions on Image Processing 1, pp. 526-532, Oct. 1992.
6. J. M. Shapiro, "Embedded image coding using zerotrees of wavelet coefficients," IEEE Transactions on Signal Processing 41, pp. 3445-3462, December 1993.
7. W. Pennebaker and J. Mitchell, JPEG still image data compression standard, Van Nostrand Reinhold, 1993.
8. S. Mallat and F. Falzon, "Analysis of low bit rate image transform coding," IEEE Transactions on Signal Processing 46, pp. 1027-1042, Apr. 1998.
9. R. Algazi and R. R. Estes, "Analysis based coding of image transform and subband coefficients," in Applications of Digital Image Processing XVII, Proc. of the SPIE 2564, pp. 11-21, 1995.
10. R. Rinaldo and G. Calvagno, "Image coding by block prediction of multiresolution subimages," IEEE Transactions on Image Processing 4, pp. 909-920, July 1995.
11. R. G. Simpson, "Interband prediction method for subband image coding," in Still-Image Compression, M. Rabbani, E. J. Delp, and S. A. Rajala, eds., SPIE Proceedings 2418, pp. 60-66, 1995.
12. A. Said and W. A. Pearlman, "A new fast and efficient image codec based on set partitioning in hierarchical trees," IEEE Transactions on Circuits and Systems for Video Technology 6, pp. 243-250, June 1996.
13. R. Buccigrossi and E. Simoncelli, "Progressive wavelet image coding based on a conditional probability model," in Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, 1997.
14. C. Chrysafis and A. Ortega, "Efficient context-based entropy coding for lossy wavelet image coding," in Data Compression Conference, (Snowbird, Utah), Mar. 1997.
15. H. Klock, A. Polzer, and J. M. Buhmann, "Region-based motion compensated 3d-wavelet transform coding of video," in Proceedings of the International Conference on Image Processing, pp. 776-789, Oct. 1997.
16. L. L. Oelher and R. M. Gray, "Combining image compression and classification using vector quantization.," IEEE Transactions on Pattern Analysis and Machine Intelligence 17(5), pp. 461-473, 1995.
17. J. Minguillón, J. Pujol, J. Serra-Sagristà, I. Ortuño, and P. Guitart, "Adaptive lossy compression and classification of hyperspectral images," in Image and Signal Processing for Remote Sensing VI, S. B. Serpico, ed., Proceedings of SPIE, Europto 4170, pp. 241-255, (Barcelona, Spain), 2001.
18. K. Rao and P. Yip, eds., The transform and data compression handbook, The Electrical Engineering and Signal Processing Series, CRC Press, New York, USA, 2001.
19. D. Salomon, A guide to data compression methods, Springer Professional Computing, Springer-Verlag, New York, USA, 2002.
20. G. K. Wallace, "The JPEG still picture compression standard," Communications of the ACM ACM-34, pp. 30-44, April 1991.
21. H. Fung and K. Parker, "Design of image adaptive quantization tables for JPEG," Journal of Electronic Imaging 4(2), pp. 144-150, 1995.
22. J. Conway and N. Sloane, Sphere Packings, Lattices and Groups, vol. 290 of Grundlehren der mathematischen Wissenschaften, Springer Verlag, New York, USA, 3rd ed., 1999.
23. T. Fischer, "A pyramid vector quantizer," IEEE Transactions on Information Theory IT-32, pp. 568-583, July 1986.
24. J. Serra-Sagristà and J. Borrell, "A comparison of lossy compression methods on still and hyperspectral images," in Mathematics of Data/Image Coding, Compression and Encryption V, with Applications, Proc. of SPIE International Symposium of Optical Science and Technology, 4793, (Seattle, WA, USA), July 2001.
25. D. Taubman, "High performance scalable image compression with EBCOT," IEEE Transactions on Image Processing 9, pp. 1158-1170, July 2000.
26. J. Woods and S. O'Neil, "Subband coding of images," IEEE Transactions on Acoustics, Speech, and Signal Processing ASSP-34, pp. 1278-1288, Oct. 1986.
27. A. Gersho, "Asymptotically optimal block quantization," IEEE Transactions on Information Theory IT-25, pp. 373-380, July 1979.