Compression des images hyperspectrales

[Aia01]    B. Aiazzi, L. Alparone et S. Baronti. “Near-lossless compression of 3-D optical data”. IEEE Transactions on Geoscience and Remote Sensing., vol. 39, n^o  11, p. 2547–2557, nov. 2001.

[Aia03a]    B. Aiazzi, L. Alparone, S. Baronti, C. Lastri, L. Santurri et M. Selva. “Spectral distortion evaluation in lossy compression of hyperspectral imagery”. Dans IEEE International Geoscience and Remote Sensing Symposium, IGARSS’03, vol. 3, p. 1817–1819. juil. 2003.

[Aia03b]    B. Aiazzi, L. Alparone, S. Baronti, F. Lotti, L. Santurri et M. Selva. “Quality issues for hyperspectral data dissemination : radiometric and spectral distortions in lossy compression”. Dans Sensors, Systems, and Next-Generation Satellites VI, vol. 4881, p. 701–708. SPIE, 2003.

[Alc06]    “Implementation du décorellateur multispectral - R&T Compression”. Rap. tech. 100137101A, Alcatel Alenia Space, Nov 2006.

[Alp03]    L. Alparone, S. Baronti, A. Garzelli et F. Nencini. “A new method for quality assessment of pan-sharpened very high-resolution multispectral images”. Dans Tyrrhenian International Workshop on Remote Sensing. CNIT, sept. 2003.

[Ant92]    M. Antonini, M. Barlaud, P. Mathieu et I. Daubechies. “Image coding using wavelet transform”. IEEE Transactions on Image Processing, vol. 1, n^o  2, p. 205–220, Apr. 1992.

[Arn93]    S. Arno et F. S. Wheeler. “Signed digit representations of minimal hamming weight”. IEEE Transactions on Computers, vol. 42, n^o  8, p. 1007–1010, août 1993.

[Bai01]    P. Baizert, M. Pickering et M. Ryan. “Compression of hyperspectral data by spatial/spectral discrete cosine transform”. Dans IEEE International Geoscience and Remote Sensing Symposium, IGARSS’01, vol. 4, p. 1859–1861. juil. 2001.

[Bar01]    P. Barry. “Introduction to the Hyperion instrument and data processing”. Dans Hyperion and ALI data users workshop, p. 3.1–3.41. TRW Space and Electronics Group, nov. 2001.

[Bei02]    D. Beiso. “Overview of Hyperion on-orbit instrument performance, stability, and artifacts”. Dans Applied Imagery Pattern Recognition Workshop, 2002. Proceedings. 31st, p. 95–101. oct. 2002.

[Bia95]    R. Bianchi, R. M. Cavalli, C. M. Marino et S. Pignatti. “MIVIS airborne hyperspectral remote sensing in Europe”. Dans ISSSR-95 proceedings. CNR, LARA Project, nov. 1995.

[Bil00]    A. Bilgin, G. Zweig et M. W. Marcellin. “Three-dimensional image compression with integer wavelet transforms”. Applied optics, vol. 39, n^o  11, p. 1799–1814, avr. 2000.

[Bol03]    J. F. Bolton. “Full spectral imaging : a revisited approach to remote sensing”. Dans Sensors, Systems, and Next-Generation Satellites VII, vol. 5234, p. 243–251. SPIE, sept. 2003.

[Bow00]    J. Bowles, D. Gillis et P. Palmadesso. “New improvements in the ORASIS algorithm”. Aerospace Conference Proceedings, vol. 3, p. 293–298, 2000.

[Bri96]    S. Briles. “Evaluation of onboard hyperspectral-image compression techniques for a parallel push-broom sensor”. Dans Algorithms for Ultraspectral and Hyperspectral Imagery II, vol. 2758, p. 332–341. SPIE, 1996.

[Bri04]    M. H. Brill, J. Lubin, P. Costa, S. Wolf et J. Pearson. “Accuracy and cross-calibration of video quality metrics : new methods from ATIS/T1A1”. Signal Processing : Image Communication, vol. 19, p. 101–107, fév. 2004.

[Bur94]    M. Burrows et D. Wheeler. “A block-sorting lossless data compression algorithm”. Rap. tech. 124, System Research Center, Digital Equipment Corporation, 1994.

[Cal98]    A. R. Calderbank, I. Daubechies, W. Sweldens et B.-L. Yeo. “Wavelet transforms that map integers to integers”. Journal of Applied and Computational Harmonic Analysis, vol. 5, p. 332–369, 1998.

[Car03]    M. Carnec, P. L. Callet et D. Barba. “Full reference and reduced reference metrics for image quality assessment”. Dans Proceedings of Signal Processing and its Applications, vol. 1, p. 477–480. IEEE, juil. 2003.

[Chi01]    S.-S. Chiang et C.-I. Chang. “Unsupervised target detection in hyperspectral image using projection pursuit”. IEEE Transactions on Geoscience and Remote Sensing, vol. 39, n^o  7, p. 1380–1391, juil. 2001.

[Cho03]    S. Cho et W. A. Pearlman. “Error resilient video coding with improved 3-D SPIHT and error concealment”. Dans Image and Video Communications and Processing, vol. 5022, p. 125–136. SPIE, jan. 2003.

[Cho05a]   S. Cho et W. A. Pearlman. “Multilayered protection of embedded video bitstreams over binary symmetric and packet erasure channels”. Journal of Visual Communication and Image Representation, vol. 16, n^o  3, p. 359–378, juin 2005.

[Cho05b]   Y. Cho. Resolution scalable and random access decodable image coding with low time complexity. Thèse de doctorat, Rensselaer Polytechnic Institute, Troy, New York, USA, juil. 2005.

[Cho05c]   Y. Cho, W. A. Pearlman et A. Said. “Low complexity resolution progressive image coding algorithm : Progres (progressive resolution decompression)”. Dans IEEE International Conference on Image Processing, vol. 3, p. 49–52. sept. 2005.

[Chr00]    C. Chrysafis, A. Said, A. Drukarev, A. Islam et W. A. Pearlman. “SBHP - a low complexity wavelet coder”. Dans IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000, vol. 4, p. 2035–2038. 2000.

[Chr05a]    E. Christophe, D. Léger et C. Mailhes. “Comparison and evaluation of quality criteria for hyperspectral imagery”. Dans Image Quality and System Performance II, vol. 5668, p. 204–213. SPIE, jan. 2005.

[Chr05b]   E. Christophe, D. Léger et C. Mailhes. “Images hyperspectrales et critères qualité”. Dans Colloque annuel des Doctorants EDIT’05, p. 132–136. UPS, Toulouse, avril 2005.

[Chr05c]    E. Christophe, D. Léger et C. Mailhes. “Quality criteria benchmark for hyperspectral imagery”. IEEE Transactions on Geoscience and Remote Sensing, vol. 43, n^o  09, p. 2103–2114, Sept. 2005.

[Chr06a]    E. Christophe, C. Mailhes et P. Duhamel. “Best anisotropic 3-D wavelet decomposition in a rate-distortion sense”. Dans IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP’06, vol. 2, p. II–17 – II–20. mai 2006.

[Chr06b]   E. Christophe, C. Mailhes et P. Duhamel. “Décorrelation des images hyperspectrales avec une décomposition 3D en ondelettes”. Dans Workshop on Transform Based on Independent Component Analysis for Audio, Video and Hyperspectral Images Data Reduction and Coding. juil. 2006.

[Chr06c]    E. Christophe, C. Mailhes et P. Duhamel. “Hyperspectral image compression : Adapting SPIHT and EZW to anisotropic 3D wavelet coding”. IEEE Transactions on Image Processing, 2006. (submitted).

[Chr06d]   E. Christophe et W. A. Pearlman. “Three-dimensional SPIHT coding of hyperspectral images with random access and resolution scalability”. Dans Fortieth Annual Asilomar Conference on Signals, Systems, and Computers. oct. 2006. (invited paper).

[Chr06e]    E. Christophe et W. A. Pearlman. “Three-dimensional SPIHT coding of volume images with random access and resolution scalability”. IEEE Transaction on Image Processing, 2006. (submitted).

[Chr07a]    E. Christophe, P. Duhamel et C. Mailhes. “Adaptation of zerotrees using signed binary digit representations for 3 dimensional image coding”. EURASIP Journal on Image and Video Processing, 2007. (to appear).

[Chr07b]   E. Christophe, P. Duhamel et C. Mailhes. “Signed binary digit representation to simplify 3D-EZW”. Dans IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP’07. 2007. (to appear).

[Cle84]    J. G. Cleary et I. H. Witten. “Data compression using adaptive coding and partial string matching”. IEEE Transactions on Communications, vol. 32, n^o  4, p. 396–402, avr. 1984.

[CNE05]    CNES. Spacecraft Techniques and Technology. Space Technology Course. 2005.

[Coc98]    T. Cocks, R. Jenssen, A. Stewart, I. Wilson et T. Shields. “The HYMAP airborne hyperspectral sensor : the system, calibration and performance”. Dans 1st EARSEL workshop on imaging spectroscopy, Zurich. oct. 1998.

[Coi90]    R. R. Coifman, Y. Meyer, S. Quake et M. V. Wickerhauser. “Signal processing and compression with wavelet packets”. Rap. tech., Numerical Algorithms Research Group, Yale University, New Haven, 1990.

[Coi92]    R. R. Coifman et M. V. Wickerhauser. “Entropy-based algorithms for best basis selection”. IEEE Transactions on Information Theory, vol. 38, n^o  2, p. 713–718, Mar. 1992.

[Dan03]    H. Danyali et A. Mertins. “Fully spatial and SNR scalable, SPIHT-based image coding for transmission over heterogenous networks”. Journal of Telecommunications and Information Technology, , n^o  2, p. 92–98, 2003.

[Dau98]    I. Daubechies et W. Sweldens. “Factoring wavelet transforms into lifting steps”. J. Fourier Anal. Appl., vol. 4, n^o  3, p. 247–269, 1998.

[ESA99]    ESA Scientific Campaign Unit, ESTEC. “Exploitation of CHRIS data from the PROBA mission for science and applications experimenters handbook”, oct. 1999.

[Esk93]    A. M. Eskicioglu et P. S. Fisher. “A survey of quality measures for gray scale image compression”. Dans 9th Computing in Aerospace Conference, 93-4514. AIAA, oct. 1993.

[Esk95]    A. M. Eskicioglu et P. S. Fisher. “Image quality measures and their performance”. IEEE Transactions on Communications, vol. 43, n^o  12, p. 2959–2965, déc. 1995.

[Eur01]    European Space Agency. “SPECTRA - Surface Processes and Ecosystem Changes Through Response Analysis”. Dans The Five Candidate Earth Explorer Core Missions. ESA, sept. 2001.

[Fow06]    J. E. Fowler. “QccPack - Quantization, Compression, and Coding Library”. http ://qccpack.sourceforge.net/, 2006.

[Fra01]    J. Fraleu et D. Lebedeff. “Compression multispectrale : Synthèse de l’étude et proposition d’évolutions”. Rap. tech., Alcatel Space Industries, nov. 2001.

[Ger92]    A. Gersho et R. M. Gray. Vector Quantization and Signal Compression. Kluwer Academic Publisher, 1992.

[Guo06]    J. Guo, S. Mitra, B. Nutter et T. Karp. “A fast and low complexity image codec based on backward coding of wavelet trees”. Dans Data Compression Conference, p. 293–301. mars 2006.

[Hal99]    }\relax \special {t4ht= }\setbox \tmp:bx =\hbox \bgroup \penalty \@M \relax \kern +.1667em\relax \egroup \relax \special {t4ht=}?\special {t4ht@?unhskip}\relax \special {t4ht=}\relax \special {t4ht= }\setbox \tmp:bx =\hbox \bgroup \penalty \@M \relax \kern +.1667em\relax \egroup \relax \special {t4ht=}?">W. H. Hallidy Jr. et M. Doerr. “Hyperspectral image compression”. Rap. tech., Systems and Processes Engineering Corporation, 1999.

[He03]    C. He, J. Dong et Y. F. Zheng. “Optimal 3-D coefficient tree structure for 3-D wavelet video coding”. IEEE Transactions on Circuits and Systems for Video Technology, vol. 13, n^o  10, p. 961–972, 2003.

[Hsi01]    S.-T. Hsiang. “Embedded image coding using zeroblocks of subband/wavelet coefficients and context modeling”. Dans Data Compression Conference, p. 83–92. mars 2001.

[Huf52]    D. A. Huffman. “A method for the construction of minimum-redundancy codes”. Dans Proceedings of the Institute of Radio Engineers, vol. 40, p. 1098–1101. sept. 1952.

[Hug68]    G. F. Hughes. “On the mean accuracy of statistical pattern recognizers”. IEEE Transactions on Information Theory, vol. 14, n^o  1, 1968.

[Isl99]    A. Islam et W. A. Pearlman. “An embedded and efficient low-complexity hierarchical image coder”. Dans Visual Communications and Image Processing ’99, vol. 3653, p. 294–305. SPIE, jan. 1999.

[ISO02]    “Information technology – jpeg 2000 image coding system : Core coding system”, 2002.

[ISO04]    “Information technology – jpeg 2000 image coding system : Extensions”, 2004.

[ITR02a]   ITRES Research Limited. “CASI-3 specifications”. http://www.itres.com/docs/casi3.html, oct. 2002.

[ITR02b]   ITRES Research Limited. “Comparison of CASI-3 and CASI-2”. http://www.itres.com/docs/casi3.html, oct. 2002.

[JBI01]    JBIG et JPEG. “Jpeg2000 verification model 9.1 (technical description)”. Rap. tech. N2165, ISO/IEC JTC1/SC29/WG1, juin 2001.

[Joy00]    M. Joye et S.-M. Yen. “Optimal left-to-right binary signed-digit recording”. IEEE Transactions on Computers, vol. 49, n^o  7, p. 740–748, juil. 2000.

[Kat99]    A. Kattnig, D. Leger, V. Michau, L. Mugnier, M. Duplaa, P. Henry et C. Valorge. “Pôle optique spatiale, groupe de proposition et d’exécution, sous-groupe : qualité et restauration d’image etat des lieux”. Rap. tech., CNES / Onera, nov. 1999.

[Kes02]    N. Keshava et J. F. Mustard. “Spectral unmixing”. IEEE Signal Processing Magazine, vol. 19, n^o  1, p. 44–57, jan. 2002.

[Kim00]    B.-J. Kim, Z. Xiong et W. A. Pearlman. “Low bit-rate scalable video coding with 3-D set partitioning in hierarchical tress (3-D SPIHT)”. IEEE Transactions on Circuits and Systems for Video Technology, vol. 10, n^o  8, p. 1374–1387, déc. 2000.

[Kim03]    H. Kim et C. Choe, Jand Lee. “Fast implementation of 3-D SPIHT using tree information matrix”. Dans IEEE International Geoscience and Remote Sensing Symposium, IGARSS’03, vol. 6, p. 3586–3588. juil. 2003.

[Kra02]    H. J. Kramer. Observation of the Earth and its Environment : Survey of missions and sensors. Springer, 4^e éd., 2002.

[Kru00]    F. Kruse, J. Boardman, A. Lefkoff et J. Young. “The AIG/HyVista 1999 USA HyMap group shoot : overview and analysis examples”. Dans IEEE International Geoscience and Remote Sensing Symposium, IGARSS’2000., vol. 4, p. 1373 –1375. juil. 2000.

[Kru02]    F. A. Kruse, J. Boardman et J. Huntington. “Comparison of airborne and satellite hyperspectral data for geologic mapping”. Dans Algorithms and technologies for multispectral, hyperspectral and ultraspectral imagery VIII, vol. 4725, p. 128–139. SPIE, 2002.

[Lam95]    B. Lamiscarre et D. Léger. “Nouveaux critères pour l’évaluation globale de la qualité des images ; applications aux images satellitaires restaurées ou comprimées”. Rap. tech., CERT/DERO, sept. 1995.

[Lan99]    D. Landgrebe. Information Processing for Remote Sensing, chap. Information Extraction Principles and Methods for Multispectral and Hyperspectral Image Data, Chapter 1. World Scientific Publishing Co., Inc., River Edge, NJ, USA, 1999.

[Lan00]    Y. Langevin et O. Forni. “Image and spectral image compression for four experiments on the ROSETTA and Mars Express missions of ESA”. Dans Applications of Digital Image Processing XXIII, vol. 4115, p. 364–373. SPIE, 2000.

[Lur94]    J. Lurie, B. Evans, B. Ringer et M. Yeates. “Image quality measures to assess hyperspectral compression techniques”. Dans International Society for Optical Engineering, vol. 2313. SPIE, sept. 1994.

[Ma01]    J. Ma, Q. Tong, L. Zheng et B. Zhang. “An approach to assessing hyperspectral data quality”. Dans Multispectral and hyperspectral image acquisition and processing, vol. 4548, p. 244–247. SPIE, 2001.

[Mal89]    S. Mallat. “A theory for multiresolution signal decomposition : The wavelet representation”. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 11, n^o  7, p. 674–693, juil. 1989.

[Mal97]    S. Mallat. A Wavelet Tour of Signal Processing. Academic Press, 1997.

[Mar01]    M. W. Marcellin et A. Bilgin. “Quantifying the parent-child coding gain in zero-tree-based coders”. IEEE Signal Processing Letters, vol. 8, n^o  3, p. 67–69, mars 2001.

[Mof98]    A. Moffat, R. Neal et I. H. Witten. “Arithmetic coding revisited”. ACM Transactions on Information Systems, vol. 16, n^o  3, p. 256–294, 1998.

[Mot03]    G. Motta, F. Rizzo et J. A. Storer. “Compression of hyperspectral imagery”. Dans Data Compression Conference, DCC, vol. 8, p. 333– 342. IEEE, mars 2003.

[Mot06]    G. Motta, F. Rizzo et J. A. Storer (réds.). Hyperspectral Data Compression. Springer, 2006.

[Oke04]    K. Okeya, K. Schmidt-Samoa, C. Spahn et T. Takagi. Lecture Notes in Computer Science : Advances in Cryptology - CRYPTO 2004, chap. Signed Binary Representations Revisited, p. 123–139. Spinger-Verlag, 2004.

[Oli98]    J.-L. Olives. Optimisation globale de système imageur à l’aide de critère de qualité visuelle. Thèse de doctorat, École nationale supérieure de l’aéronautique et de l’espace, sept. 1998.

[Oli03]    J. Oliver et M. P. Malumbres. “Fast and efficient spatial scalable image compression using wavelet lower trees”. Dans Data Compression Conference, p. 133–142. mars 2003.

[Par03]    C. Parisot. Allocations basées modèles et transformée en ondelettes au fil de l’eau pour le codage d’images et de vidéos. Thèse de doctorat, Université de Nice, Sophia Antipolis, jan. 2003.

[Pea98]    W. A. Pearlman et A. Said. “Data compression using set partitioning in hierarchical trees”. United States Patent 5,764,807, 9 juin 1998.

[Pea00]     J. Pearlman, C. Segal, L. Liao, S. Carman, M. Folkman, B. Browne, L. Ong et S. Ungar. “Development and operations of the EO-1 Hyperion imaging spectrometer”. Rap. tech., TRW Space and Electronics Group, août 2000.

[Pea01a]    J. Pearlman, S. Carman, C. Segal, P. Jarecke, P. Clancy et W. Browne. “Overview of the Hyperion imaging spectrometer for the NASA EO-1 mission”. Dans IEEE International Geoscience and Remote Sensing Symposium, IGARSS’01, vol. 7, p. 3036–3038. juil. 2001.

[Pea01b]    W. A. Pearlman. “Trends of tree-based, set-partitioning compression techniques in still and moving image systems”. Dans Proceedings Picture Coding Symposium 2001 (PCS 2001), p. 1–8. avr. 2001. (invited, keynote paper).

[Pea04]    W. A. Pearlman, A. Islam, N. Nagaraj et A. Said. “Efficient, low-complexity image coding with a set-partitionning embedded block coder”. IEEE Transactions on Circuits and Systems for Video Technology, vol. 14, n^o  11, p. 1219–1235, nov. 2004.

[Pen06]    B. Penna, T. Tillo, E. Magli et G. Olmo. “Progressive 3-D coding of hyperspectral images based on JPEG 2000”. IEEE Geoscience and Remote Sensing Letters, vol. 3, n^o  1, p. 125–129, jan. 2006.

[Pic00]    M. Pickering et M. Ryan. “Compression of hyperspectral data using vector quantisation and the discrete cosine transform”. Dans IEEE International Conference on Image Processing, ICIP 2000, vol. 2, p. 195–198. sept. 2000.

[Por87]    W. M. Porter et H. T. Enmark. “A system overview of the airborne visible / infrared imaging spectrometer (AVIRIS)”. Dans Imaging Spectroscopy II Conference. Society of Photo-Optical Instrumentation Engineers, août 1987.

[Pro00]    H. Prodinger. “On binary representations of integers with digit -1, 0, 1”. Integers Electronic Journal of Combinatorial Number Theory, vol. 0, 2000.

[Qia00]    S.-E. Qian, A. Hollinger, D. Williams et D. Manak. “Vector quantization using spectral index-based multiple subcodebooks for hyperspectral date compression”. IEEE Transactions on Geoscience and Remote Sensing, vol. 38, n^o  3, p. 1183–1190, mai 2000.

[Qia03]    S. Qian, M. Bergeron, C. Serele, I. Cunningham et A. Hollinger. “Evaluation and comparison of JPEG2000 and vector quantization based onboard data compression algorithm for hyperspectral imagery”. Dans IEEE International Geoscience and Remote Sensing Symposium, 2003. IGARSS ’03., vol. 3, p. 1820–1822. juil. 2003.

[Qia04]    S.-E. Qian. “Hyperspectral data compression using a fast vector quantization algorithm”. IEEE Transactions on Geoscience and Remote Sensing, vol. 42, n^o  8, p. 1791–1798, août 2004.

[Ram93]    K. Ramchandran et M. Vetterli. “Best wavelet packet bases in a rate-distortion sense”. IEEE Transactions on Image Processing, vol. 2, n^o  2, p. 160–175, avr. 1993.

[Ris79]    J. Rissanen et G. G. L. Jr. “Arithmetic coding”. IBM Journal of Research and Development, vol. 23, n^o  2, p. 149–162, mars 1979.

[Ruc05]    J. T. Rucker, J. E. Fowler et N. H. Younan. “JPEG2000 coding strategies for hyperspectral data”. Dans IEEE International Geoscience and Remote Sensing Symposium, IGARSS’05, vol. 1, p. 128–131. juil. 2005.

[Rup01]    S. Rupert, M. Sharp, J. Sweet et E. Cincotta. “Noise constrained hyperspectral data compression”. Dans IEEE International Geoscience and Remote Sensing Symposium, IGARSS’01, vol. 1, p. 94–96. juil. 2001.

[Rya97]    M. J. Ryan et J. F. Arnold. “Lossy compression of hyperspectral data using vector quantization”. Remote Sensing of Environment, vol. 61, p. 419–436, 1997.

[Rya98]    M. Ryan et J. Arnold. “A suitable distortion measure for the lossy compression of hyperspectral data”. Dans IEEE International Geoscience and Remote Sensing Symposium, IGARSS’98, vol. 4, p. 2056–2058. juil. 1998.

[Rya00]    M. Ryan et M. Pickering. “An improved M-NVQ algorithm for the compression of hyperspectral data”. Dans IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2000., vol. 2, p. 600–602. juil. 2000.

[Sai96]    A. Said et 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, vol. 6, n^o  3, p. 243–250, juin 1996.

[Sai99]    A. Said. “Example of application for image compression”. http://www.cipr.rpi.edu/~pearlman/papers/ex_spiht-ezw.pdf, 1999.

[Sha49]    C. E. Shannon et W. Weaver. The Mathematical Theory of Communication. Illini Books, 1949.

[Sha93]    J. M. Shapiro. “Embedded image coding using zerotrees of wavelet coefficients”. IEEE Transactions on Signal Processing, vol. 41, n^o  12, p. 3445–3462, déc. 1993.

[She98]    S. S. Shen et B. S. Beard. “Effects of hyperspectral compression on nonliteral exploitation”. Dans Imaging Spectrometry IV, vol. 3438, p. 191–199. SPIE, juil. 1998.

[Shk02]    D. Shkarin. “PPM : one step to practicality”. Dans Data Compression Conference. 2002.

[Sho88]    Y. Shoham et A. Gersho. “Efficient bit allocation for an arbitrary set of quantizers”. IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 36, n^o  9, p. 1445–1453, sept. 1988.

[Sim97]    R. E. Simmons et B. V. Brower. “Data characterization for hyperspectral image compression”. Dans Multispectral imaging for terrestrial application II, vol. 3119, p. 172–183. SPIE, 1997.

[Sko01]    A. Skodras, C. Christopoulos et T. Ebrahimi. “The JPEG 2000 still image compression standard”. IEEE Signal Processing Magazine, vol. 18, n^o  5, p. 36–58, sept. 2001.

[Sub00]    S. Subramanian, N. Gat, A. Ratcliff et M. Eismann. “Real-time hyperspectral data compression using principal components transformation”. Dans Aviris Proceedings. JPL Publication, 2000.

[Swe97]    W. Sweldens. “The lifting scheme : a construction of second generation wavelets”. SIAM Journal on Mathematical Analysis, vol. 29, p. 511–546, 1997.

[Swe01]    J. N. Sweet, M. Sharp et J. Granahan. “Hyperspectral analysis toolset”. Dans Sensors, systems, and next-generation satellites IV, vol. 4169, p. 396–407. SPIE, 2001.

[Tan03]    X. Tang, W. A. Pearlman et J. W. Modestino. “Hyperspectral image compression using three-dimensional wavelet coding”. Dans Image and Video Communications and Processing, vol. 5022, p. 1037–1047. SPIE, jan. 2003.

[Tau00]    D. Taubman. “High performance scalable image compression with EBCOT”. IEEE Transactions on Image Processing, vol. 9, n^o  7, p. 1158–1170, juil. 2000.

[Tau02]    D. S. Taubman et M. W. Marcellin. JPEG2000 Image Compression Fundamentals, Standards and Practice. Kluwer Academic Publishers, Boston, MA, 2002.

[Tau06]    D. Taubman. “Kakadu Software v 5.0”. http ://www.kakadusoftware.com/, 2006.

[Thi06]    C. Thiebaut, D. Lebedeff, C. Latry et Y. Bobichon. “On-board compression algorithm for satellite multispectral images”. Dans Data Compression Conference. 2006.

[VB05]    D. Van Buren. “A high-rate JPEG2000 compression system for space”. Dans IEEE Aerospace Conference, p. 1–7. IEEE, mars 2005.

[VQE03]    VQEG. “Final report from the video quality experts group on the validation of objective models of video quality assessment, phase II”. Rap. tech., VQEG, août 2003. Http ://www.vqeg.org.

[Wan02a]   Z. Wang et A. C. Bovik. “A universal image quality index”. IEEE Signal Processing Letters, vol. 9, n^o  3, p. 81–84, mars 2002.

[Wan02b]   Z. Wang, A. C. Bovik et L. Lu. “Why is image quality assessment so difficult ?” Dans IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP’02, vol. 4, p. 3313–3316. mai 2002.

[Wan04a]   Y. Wang, J. T. Rucker et J. E. Fowler. “Three-dimensional tarp coding for the compression of hyperspectral images”. IEEE Geoscience and Remote Sensing Letters, vol. 1, n^o  2, p. 136–140, Apr. 2004.

[Wan04b]   Z. Wang, L. Lu et A. C. Bovik. “Video quality assessment based on structural distortion measurement”. Signal Processing : Image Communication, vol. 19, p. 121–132, 2004.

[wg101]    “JPEG2000 verification model 9.1 (technical description)”, juin 2001.

[wg104]    “JP3D working draft v5.0”, nov. 2004.

[Wit87]    I. H. Witten, R. M. Neal et J. G. Cleary. “Arithmetic coding for data compression”. Communications of the ACM, vol. 30, n^o  6, p. 520–540, déc. 1987.

[Xie05]    G. Xie et H. Shen. “Highly scalable, low-complexity image coding using zeroblocks of wavelet coefficients”. IEEE Transactions on Circuits and Systems for Video Technology, vol. 15, n^o  6, p. 762–770, juin 2005.

[Xio03]    Z. Xiong, X. Wu, S. Cheng et J. Hua. “Lossy-to-lossless compression of medical volumetric data using three-dimensional integer wavelet transforms”. IEEE Transactions on Medical Imaging, vol. 22, n^o  3, p. 459–470, mars 2003.

[Xu03]    D. Xu et M. N. Do. “Anisotropic 2D wavelet packets and rectangular tiling : theory and algorithms”. Dans SPIE, Wavelets : Applications in Signal and Image Processing X., vol. 5207, p. 619–630. Nov 2003.

[Yeh05]    P.-S. Yeh, P. Armbruster, A. Kiely, B. Masschelein, G. Moury, C. Schaefer et C. Thiebaut. “The new CCSDS image compression recommendation”. Dans IEEE Aerospace Conference. IEEE, mars 2005.

[Ziv77]    J. Ziv et A. Lempel. “A universal algorithm for sequential data compression”. IEEE Transactions on Information Theory, vol. IT-23, n^o  3, p. 337–343, mai 1977.