Multispectral image compression using eigenregion-based segmentation

Pattern Recognition

Volumn 37, Issue 6, 2004, Pages 1233-1243

  Chang, Lena ^a  

^a NATIONAL TAIWAN OCEAN UNIVERSITY   (Taiwan)

Author keywords

Eigenregion based segmentation; Eigensubspace transform; Image compression; Multispectral images; Principal eigenvectors

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; CORRELATION METHODS; DECISION MAKING; EIGENVALUES AND EIGENFUNCTIONS; IMAGE COMPRESSION; INFORMATION ANALYSIS; MATHEMATICAL TRANSFORMATIONS; MATRIX ALGEBRA; SPECTRUM ANALYSIS;

CORRELATION MATRIX; IMAGE BLOCKS; MULTISPECTRAL IMAGES; SATELLITE IMAGES;

PATTERN RECOGNITION;

IMAGE PROCESSING;

EID: 2142766775     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2003.10.018     Document Type: Article

References (19)

1. Schroder M. Rehrauer H. Seidel K Datcu M. Interactive learning and probabilistic retrieval in remote sensing image archives IEEE Trans. Geosci. Remote Sensing 38 5 2000 2288-2298
2. Netravali A.N. Haskell B.G. Digital Pictures, Representation and Compression 1988 Plenum New York
3. Gersho A. Gray R.M. Vector Quantization and Signal Compression 1992 Kluwer Norwell, MA
4. Saghri J.A. Tescher A.G. Reagan J.T. Practical transform coding of multispectral imagery IEEE Signal Process. Mag. 12 1995 32-43
5. Lee Jungwoo Optimized quadtree for Karhunen-Loeve transform in multispectral image coding IEEE Trans. Image Process. 8 4 1999 453-461
6. B.R. Epstein, R. Hingorani, J.M. Shapiro, M. Czigler, Multispectral KLT-wavelet data compression for Landsat thematic mapper images, Proceedings of the Data Compression Conference, Snowbird, Utah, 1992, pp. 200-208.
7. Dragotti P.L. Poggi G. Seidel K. Ragozini R.P. Compression of multispectral images by three-dimensional SPIHT algorithm IEEE Trans. Geosci. Remote Sensing 38 1 2000 416-428
8. Gupta S. Gersho A. Feature predictive vector quantization of multispectral IEEE Trans. Geosci. Remote Sensing 30 1 1992 491-501
9. Canta G.R. Poggi G. Compression of multispectral images by address-predictive vector quantization Signal Process Image Commun. 11 1997 147-159
10. Canta G.R. Poggi G. Kronecker-product gain-shape vector quantization for multispectral and hyperspectral image coding IEEE Trans. Image Process. 7 1998 668-678
11. Ye Zhang, M.D. Desai, Junping Zhang, Ming Jin, Adaptive subspace decomposition for hyperspectral data dimensionality reduction, Proceedings of the IEEE International Conference on Image Processing, Kobe, Japan, October 1999.
12. Y. Lin, J.J. Soraghan, T.S. Durrani, Detection of number of harmonics by maximum eigenvalue varied rate criteria, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP-90, Albuquerque, NM, USA, Vol. 6, 1990, pp. 2543-2546.
13. Schmidt R.O. Multiple emitter location and signal parameter estimation IEEE Trans. Antennas Propagation AP-34 3 1986 276-280
14. Yang J.F. Kaveh M. Adaptive eigensubspace algorithms for direction or frequency estimation and tracking IEEE Trans. Acoust. Speech Signal Process. 36 2 1988 241-251
15. Wallace G.K. The JPEG still picture compression standards Commun. ACM 34 4 1991 30-44
16. H. Akaike, Information theory and an extension of maximum likelihood principal, Proceedings of the second International Symposium on Information Theory, Budapest, Hungary, 1973, pp. 267-281.
17. Wax M. Kailath T. Detection of signals by information theory criteria IEEE Trans. Acoust. Speech Signal Process. 33 2 1985 387-392
18. Wong S. Zaremba L. Gooden D. Huang H.K. Radiologic image compression Proc. IEEE. 83 2 1995 194-219
19. M. Thompson Clay Shure L. Image Processing Toolbox for Use with Matlab 1995 The MathWork Inc. Natick, MA, USA