@string{ACADEMIC = {Academic Press}} @string{ACADEMIC_addr = {Orlando, FL}} @string{ACSM = {American Congress on Surveying and Mapping}} @string{AJOPO = {American Journal of Optometry and Physiological Optics}} @string{AO = {Applied Optics}} @string{BYTE = {Byte}} @string{CVGIP = {Computer Vision, Graphics, and Image Processing}} @string{AW = {Addison-Wesley}} @string{AW_addr = {Reading, MA}} @string{BADISCHE = {Badische Corporation (BASF)}} @string{BADISCHE_addr = {Williamsburg, VA 23185}} @string{CAMBRIDGE = {Cambridge University Press}} @string{CAMBRIDGE_addr = {New York, NY}} @string{CSP = {Computer Science Press}} @string{CSP_addr = {Rockville, MD}} @string{DOVER = {Dover}} @string{DOVER_addr = {New York, NY}} @string{DOWDEN = {Dowden, Hutchinson, and Ross}} @string{DOWDEN_addr = {Stroudsburg, PA}} @string{ELECTLETTERS = {Electronics Letters}} @string{COMP = {Computer}} @string{CACM = {Communications of the ACM}} @string{SPECTRUM = {IEEE Spectrum}} @string{PIEEE = {Proceedings of the IEEE}} @string{IEEEASSP = {IEEE Transactions on Acoustics, Speech, and Signal Processing}} @string{FREEMAN = {W. H. Freeman}} @string{FREEMAN_addr = {New York, NY}} @string{IEEE = {IEEE}} @string{IEEE_addr = {New York, NY}} @string{IEEEAES = {IEEE Transactions on Aerospace and Electronic Systems}} @string{IEEEAC = {IEEE Transactions on Automatic Control}} @string{IEEEAU = {IEEE Transactions on Audio and Electroacoustics}} @string{IEEEBR = {IEEE Transactions on Biomedical Engineering}} @string{IEEEC = {IEEE Transactions on Computers}} @string{IEEECAS = {IEEE Transactions on Circuits and Systems}} @string{IEEECOM = {IEEE Transactions on Communication}} @string{IEEEEMC = {IEEE Transactions on Electromagnetic Compatibility}} @string{IEEEIP = {IEEE Transactions on Image Processing}} @string{IEEEIT = {IEEE Transactions on Information Theory}} @string{IEEEPAMI = {IEEE Transactions on Pattern Analysis and Machine Intelligence}} @string{IEEESMC = {IEEE Transactions on Systems, Man, and Cybernetics}} @string{IEEECS = {IEEE Computer Society}} @string{IEEECS_addr = {Silver Spring, MD}} @string{ILL = {University of Illinois Press}} @string{ILL_addr = {Urbana, IL}} @string{ISA = {Instrument Society of America}} @string{ISA_addr = {Research Triangle Park, NC}} @string{IVC = {Image and Vision Computing}} @string{IJRS = {International Journal of Remote Sensing}} @string{PIRE = {Proceedings of the IRE}} @string{INF_CNTRL = {Information and Control}} @string{JACM = {Journal of the Association for Computing Machinery}} @string{JIT = {Journal of Imaging Technology}} @string{JOSA = {Journal of the Optical Society of America}} @string{JOSAA = {Journal of the Optical Society of America A}} @string{JOSAB = {Journal of the Optical Society of America B}} @string{JRNBS = {Journal of Research of the National Bureau of Standards}} @string{JSOUNDVIB = {J. Sound Vib.}} @string{MATHCOMP = {Mathematics of Computation}} @string{OPTENGR = {Optical Engineering}} @string{OPTICSCOMM = {Optics Communications}} @string{PATTERNREC = {Pattern Recognition}} @string{PHOTOGRAM = {Photogrammetria}} @string{PHOTOSCIENGR = {Photographic Science and Engineering}} @string{REVSCIINSTR = {Rev. Sci. Instrum.}} @string{SCIENCE = {Science}} @string{SIAMAPPLMATH = {SIAM Journal of Applied Mathematics}} @string{SIAMSCISTATCOMP = {SIAM Journal of Scientific and Statistical Computing}} @string{CCVPR = {Proceedings of the Conference on Computer Vision and Pattern Recognition}} @string{ICASSP = {Proceedings of the International Conference on Acoustics, Speech, and Signal Processing}} @string{KLUWER = {Kluwer Academic Publishers}} @string{KLUWER_addr = {Boston, MA}} @string{MACMILLAN = {Macmillan}} @string{MACMILLAN_addr = {New York, NY}} @string{MCGRAW = {McGraw-Hill}} @string{MCGRAW_addr = {New York, NY}} @string{MIT = {MIT Press}} @string{MIT_addr = {Cambridge, MA}} @string{NASA = {NASA}} @string{NASA_addr = {Washington, DC}} @string{OXFORD = {Oxford University Press}} @string{OXFORD_addr = {New York, NY}} @string{PH = {Prentice-Hall}} @string{PH_addr = {Englewood Cliffs, NJ}} @string{PLENUM = {Plenum Press}} @string{PLENUM_addr = {New York, NY}} @string{PROC_ISCAS = {Proceedings of the International Symposium on Circuits and Systems}} @string{PROC_PRINCETON_CISS = {Proceedings of the Princeton Conference on Information Sciences and Systems}} @string{PROC_PRIP = {Proceedings of the Conference on Pattern Recognition and Image Processing}} @string{PROC_SPIE = {Proceedings of the Society of Photo-Optical Instrumentation Engineers}} @string{VIPTTR = {Visual Information Processing for Television and Telerobotics}} @string{PWS = {Prindle, Weber & Schmidt}} @string{PWS_addr = {Boston, MA}} @string{REIDEL = {D. Reidel Publishing}} @string{REIDEL_addr = {}} @string{SPIE = {SPIE}} @string{SPIE_addr = {Bellingham, WA}} @string{SPRINGER = {Springer-Verlag}} @string{SPRINGER_addr = {New York, NY}} @string{VNR = {Van Nostrand Reinhold}} @string{VNR_addr = {New York, NY}} @string{WILEY = {John Wiley and Sons}} @string{WILEY_addr = {New York, NY}} @string{WMCS = {Department of Computer Science, College of William and Mary}} @string{WMCS_addr = {Williamsburg, VA 23185}} @BOOK{ulichney, AUTHOR = "Ulichney, Robert", TITLE = "Digital Halftoning", PUBLISHER = MIT, ADDRESS = MIT_addr, YEAR = 1987 } @ARTICLE{bell++:ivc7/3, AUTHOR = "Bell, Sara B. M. and Holroyd, Fred C. and Mason, David C.", TITLE = "A Digital Geometry for Hexagonal Pixels", JOURNAL= IVC, VOLUME = "7", NUMBER = "3", PAGES = "194--204", YEAR = 1989, ABSTRACT = "Comparison of Hexagonal and square pixels and arrays for image processing shows that the former have many advantages. However, squares can be addressed with integers and orthogonal axes, while for hexagons the axes must be at an oblique angle of 60 degrees. This paper describes a general method of producing geometrical algorithms for such axes." } @INCOLLECTION{bertie, AUTHOR = "Bertie, John E.", EDITOR = "Durig, J. R.", BOOKTITLE = "Analytical Applications of FT-IR to Molecular and Biological Systems", TITLE = "Apodization and Phase Correction", PUBLISHER = REIDEL, PAGES = "25--50", YEAR = 1980 } @INCOLLECTION{biberman:chpt6, EDITOR = "Biberman, Lucien M.", BOOKTITLE = "Perception of Displayed Information", TITLE = "Image Reproduction by a Line Raster Process", AUTHOR = "Schade, Otto H., Sr.", PUBLISHER = PLENUM, PAGES = "233--278", ADDRESS = PLENUM_addr, YEAR = 1973, CHAPTER = 6 } @INCOLLECTION{biberman:chpt7, EDITOR = "Biberman, Lucien M.", BOOKTITLE = "Perception of Displayed Information", TITLE = "The Aliasing Problems in Two-Dimensional Sampled Imagery", AUTHOR = "Legault, Richard R.", PAGES = "279--312", PUBLISHER = PLENUM, ADDRESS = PLENUM_addr, YEAR = 1973, CHAPTER = 7 } @ARTICLE{burton++:jit17/6, AUTHOR = "Burton, John C. and Miller, Keith W. and Park, Stephen K.", TITLE = "Fidelity Metrics for Hexagonally Sampled Digital Imaging Systems", JOURNAL= JIT, VOLUME = "17", NUMBER = "6", PAGES = "279--283", YEAR = 1991 } @InProceedings{burton++:spie1961, author = "Burton, John C. and Miller, Keith W. and Park, Stephen K.", title = "Rectangularly and Hexagonally Sampled Imaging System Fidelity Analysis", volume = "1961", pages = "", booktitle = "Visual Information Processing II", year = "1993", organization = SPIE, annote = "This paper provides a common mathematical framework for analyzing image fidelity loss in rectangularly and hexagonally sampled digital imaging systems. The fidelity losses considered are due to blurring during image formation, aliasing due to undersampling, and imperfect reconstruction. The analysis of the individual and combined effects of these losses is based upon an idealized, noiseless, continuous-discrete-continuous end-to-end digital imaging system model consisting of four independent system components: an input scene, an image gathering point spread function, a sampling function, and an image reconstruction funtion. The generalized sampling function encompasses both hexagonal and rectangular sampling lattices. Quantification of the imaging fidelity losses is accomplished via mean-squared-error metrics. Shift-variant sampling effects are accounted for with an expected value analysis. This mathematical framework is used as the basis for a series of simulations comparing a regular rectangualr sampling grid to a regular hexagonal smapling grid for a variety of image formation and image reconstruction conditions." } @PhdThesis{burton:dissertation, author = "{Burton II}, John C.", title = "End--to--End Analysis of Hexagonal vs. Rectangular Sampling in Digital Imaging Systems", school = "The College of William and Mary in Virginia", year = "1993", OPTcrossref = "", OPTkey = "", OPTaddress = "", OPTmonth = "", OPTtype = "", OPTnote = "", OPTannote = "" } @ARTICLE{cheung+marks:josaa7/1, AUTHOR = "Cheung, Kwan F. and Marks, Robert J.", TITLE = "Image Sampling Below the Nyquist Density Without Aliasing", JOURNAL= JOSAA, VOLUME = "7", NUMBER = "1", PAGES = "92--105", YEAR = 1990 } @ARTICLE{cramblitt++:josa73/11, AUTHOR = "Cramblitt, Robert M. and Allebach, Jan P.", TITLE = "Analysis of time-sequential sampling with a spatially hexagonal lattice", JOURNAL= JOSA, VOLUME = "73", NUMBER = "11", PAGES = "1510--1517", YEAR = 1983 } @ARTICLE{geisler++:josaa3/1, AUTHOR = "Geisler, Wilson S. and Hamilton, David B.", TITLE = "Sampling-theory analysis of spatial vision", JOURNAL= JOSAA, VOLUME = "3", NUMBER = "1", PAGES = "62--70", YEAR = 1986 } @ARTICLE{golay:ieeec18/8, AUTHOR = "Golay, Marcel", TITLE = "Hexagonal Parallel Pattern Transformations", JOURNAL= IEEEC, VOLUME = "C-18", NUMBER = "8", PAGES = "733--740", YEAR = 1969 } @ARTICLE{gray:ieeec20/5, AUTHOR = "Gray, Stephen B.", TITLE = "Local Properties of Binary Images in Two Dimensions", JOURNAL= IEEEC, VOLUME = "C-20", NUMBER = "5", PAGES = "551--561", YEAR = 1971 } @INPROCEEDINGS{kamgar-parsi++:ccvpr89, AUTHOR = "Kamgar-Parsi, Behzad and Kamgar-Parsi, Behrooz and Sander, William A. III", TITLE = "Quantization Error in Spatial Sampling: Comparison Between Square and Hexagonal Pixels", BOOKTITLE = CCVPR, ORGANIZATION = IEEECS, PAGES = "604--611", YEAR = 1989, ABSTRACT = "Square and hexagonal spatial sampling, because of their processing ease, are used most widely in image and signal processing. However, no rigorous treatment of the quantization error due to hexagonal sampling has appeared in the literature. In this paper we develop mathematical tools for estimating quantization error in hexagonal sensory configurations. These include analytic expressions for the average error and the error distribution for of a function of an arbitrarily large number of hexagonally quantized variables. The two quantities, the average error and the error distribution, are essential in assessing the reliability of a given algorithm. For comparison we also present the corresponding expressions for square spatial sampling, so that they can be used to compare the magnitiude of the error incurred in hexagonal versus square quantization for a given alogorithm. They can thus be used to determine which sampling technique would result in less quantization error for a particular algorithm. Such a comparison is important due to the paramount role that quantization error plays in computational approaches to computer vision. Some general observations in regard to the relative accuracy of hexagonal versus square quantization are also presented. It is hoped that the expressions derived in this paper will have an impact on both sensor design and the assessment of the reliability of a given algorithm under hexagonal as well as square quantization." } @ARTICLE{kamgar-parsi++:ieeepami11/9, AUTHOR = "Kamgar-Parsi, Behzad and Kamgar-Parsi, Behrooz", TITLE = "Quantization Error in Hexagonal Sensory Configurations", JOURNAL= IEEEPAMI, VOLUME = "11", NUMBER = "9", PAGES = "929--940", YEAR = 1989, ABSTRACT = "Due to the important role that digitization error plays in the field of computer vision, a careful analysis of its impact on the computational approaches used in the field is necessary. In this paper we develop the mathematical tools for the computation of the average (or expected) error due to quantization. They can be used in estimating the actual error occuring in the implementation of a method. Also derived is the analytic expression for the probability density function of error distribution of a function of an arbitrarily large number of independently quantized variables. The probability of the error of the function to be within a given range can thus be obtained accurately. In analyzing the applicability of an approach one must determine whether the approach is capable of withstanding the quantization error. If not, then regardless of the accuracy with which the experiments are carried out the approach will yield unacceptable results. The tools developed here can be used in the analysis of the applicability of a given algorithm, hence revealing the intrinsic limitations of the approach." } @ARTICLE{kamgar-parsi++:ieeepami14/6, AUTHOR = "Kamgar-Parsi, Behzad and Kamgar-Parsi, Behrooz", TITLE = "Quantization Error in Hexagonal Sensory Configurations", JOURNAL= IEEEPAMI, VOLUME = "14", NUMBER = "6", PAGES = "665--671", YEAR = 1992, ABSTRACT = "Hexagonal spatial sampling is widely used in image and signal processing. However, no rigorous treatment of the quantization error due to hexagonal sampling has appeared in the literature. In this paper we develop mathematical tools for estimating quantization error in hexagonal sensory configurations. These include analytic expressions for the average error and the error distribution of a function of an arbitrary number of quantized variables. These two quantities are essential for assesing the reliability of a given algorithm. they can also be used to compare the relative sensitivity of a particular algorithm to quantization error for hexagonal and other spatial samplings, e.g. square, and can have an impact on sensor design. Furthermore, we show that the ratio of hexagonal error to square error is bounded between 0.90 and 1.05." } @ARTICLE{marks:josaa3/2, AUTHOR = "Marks, Robert J.", TITLE = "Multidimensional Signal Sample Dependency at Nyquist Densities", JOURNAL= JOSAA, VOLUME = "3", NUMBER = "2", PAGES = "268--273", YEAR = 1986 } @ARTICLE{mersereau+speake:ieeeassp31/1, AUTHOR = "Mersereau, Russell M. and Speake, Theresa C.", TITLE = "The Processing of Periodically Sampled Multidimensional Signal", JOURNAL = IEEEASSP, VOLUME = "31", NUMBER = "5", PAGES = "188--194", YEAR = 1983, ABSTRACT = " This paper discusses algorithms for processing multidimensional signals which are sampled on regular but nonrectangular lattices. Such sampling lattices are dictated by some applications and may be chosen for others because of their resulting symmetric responses or computational efficiencies. We show that any operation which can be performed on a rectangular lattice can be performed on any regular periodic lattice, including FIR and IIR filtering, DFT calculation, and decimation and interpolation. This paper also discusses how generalized decimators and interpolators can be used to convert from one sampling lattice to another." } @ARTICLE{murphy++:josa72/7, AUTHOR = "Murphy, Patrcia K. and Gallagher, Neal C.", TITLE = "Hexagonal sampling techniques applied to Fourier and Fresnel digital holograms", JOURNAL= JOSA, VOLUME = "3", NUMBER = "2", PAGES = "929--937", YEAR = 1982 } @ARTICLE{norton+beers:josa66/3, AUTHOR = "Norton, Robert H. and Beer, Reinhard", TITLE = "New Apodizing Functions for Fourier Spectrometry", JOURNAL= JOSA, VOLUME = "66", NUMBER = "3", PAGES = "259--264", YEAR = 1976 } @ARTICLE{park:ao21/8, AUTHOR = "Park, Jae H.", TITLE = "Effect of Interferogram Smearing on Atmospheric Limb Sounding by Fourier Transform Spectroscopy", JOURNAL= AO, VOLUME = "21", NUMBER = "8", PAGES = "1356--1366", YEAR = 1982 } @INPROCEEDINGS{park:spie1992, AUTHOR = "Park, Stephen K.", TITLE = "Image Gathering, Interpolation and Restoration: A Fidelity Analysis", BOOKTITLE = "SPIE 1992 Technical Symposium on Visual Information Processing", PEDITOR = "", ORGANIZATION = SPIE, VOLUME = "", PAGES = "", YEAR = 1992, ABSTRACT = "Many modeling, simulation and performance analysis studies of sampled imaging systems are inherently incomplete because the are conditioned on a discrete-input, discrete-output model which only accounts for blurring during image gathering and additive noise. For those sampled imaging systems where the effects of image gathering, restoration and interpolation are significant the modeling, simulation and performance analysis shoudl be based on a more comprehensive continuous-input, discrete processing, continuous-output end-to-end model. This more comprehensive model should properly account for the low-pass filtering effects of image gathering prior to sampling, the potentially important noise-like effects of aliasing, additive noise, the high-pass filtering effects of restoration, and the low-pass filtering effects of image reconstruction. Yet this model should not be so complex as to preclude significant mathematical analysis, particularly the mean-squared (fidelity) type of analysis so common in linear system theory. In this paper we demonstrate that, although the mathematics of this more comprehensive model is more complex, the increase in complexity is not so great as to prevent a complete fidelity-metric analysis at both the component level and at the end-to-end system level. That is, easily computed, mean-square-based fidelity metrics are developed by which both component-level and system-level performance can be predicted. In particular, it is demostrated that these fidelity metrics can be used to quantify the combined effects of image gathering, restoration and reconstruction." } @ARTICLE{preston:ieeec20/9, AUTHOR = "Preston, Kendall Jr.", TITLE = "Feature Extraction by Golay Hexagonal Pattern Transforms", JOURNAL= IEEEC, VOLUME = "C-20", NUMBER = "9", PAGES = "1007--1014", YEAR = 1971 } @INPROCEEDINGS{reichenbach++:spie1569, AUTHOR = "Reichenbach, Stephen E. and Park, Stephen K. and Alter-Gartenberg, Rachel and Rahman, Zia-ur", TITLE = "Artificial Scenes and Simulated Imaging", BOOKTITLE = "Stochastic and Neural Methods in Signal Processing, Image Processing, and Computer Vision", PEDITOR = "Su-Shing Chen", ORGANIZATION = SPIE, VOLUME = "1569", PAGES = "422--433", YEAR = 1991, ABSTRACT = "This paper describes a software simulation environment for controlled image processing research. The simulation is based on a comprehensive model of the end-to-end imaging process that accounts ofr statistical characteristics of the scene, image formation, noise, noise and display reconstruction. The simulation uses a stochastic process to generate superresolution digital scenes with variable spatial structure and detail. The simulation of the imaging process accounts for the important components of digital imaging systems, including the transformation from continuous to discrete acquisition and from discrete to continuous during display. This model is appropriate for a variety of problems that involve image acquisition and display including system design, image restoration, enhancement, compression, and edge detection. By using a model-based simulation research can be conducted with greater precision, flexibility, and portability than is possible using physical systems and experiments can be replicated on any general purpose computer." } @ARTICLE{schowengerdt++:ijrs5/2, AUTHOR = "Schowengerdt, Robert and Park, Stephen K. and Gray, Robert", TITLE = "Topics in the Two--dimensional Sampling and Reconstruction of Images", JOURNAL= IJRS, VOLUME = "5", NUMBER = "2", PAGES = "333--347", YEAR = 1984 } @ARTICLE{staunton:ivc7/3, AUTHOR = "Staunton, R. C.", TITLE = "The design of hexagonal sampling structures for image digitization and their use with local operators", JOURNAL= IVC, VOLUME = "7", NUMBER = "3", PAGES = "162--166", YEAR = 1989, ABSTRACT = "An optimum hexagonal sampling structure for use with a raster scan input device is described. A set of local operators for detecting object edges within the image is designed and the accuracy shown to be high when compared with similar operators for use in the conventional square structure. It is also noted that hexagonal Fourier plan operators exist. A comparison between equivalent processing times for systems implemented on a popular processor is presented and a saving in excess of 40 \% is demonstrated." } @ARTICLE{watson+ahumada:ieeebr36/1, AUTHOR = "Watson, Andrew B. and Ahumada, Albert J.", TITLE = "A Hexagonal Orthogonal--Oriented Pyramid as a Model of Image Representation in Visual Cortex", JOURNAL = IEEEBR, VOLUME = "36", NUMBER = "1", YEAR = 1989, PAGES = "97--106", ABSTRACT = "Retinal ganglion cells represent the visual image with a spatial code, in which each cell conveys information about a small region in the image. In contrast, cells of primary visual cortex employ a hybrid space--frequency code in which every cell conveys information about a region that is local in space, spatial frequency, and orientation. Despite the presummable importance of this transformation we lack any comprehensive notion of how it occurs. Here we describe a mathematical model for this transformation. The hexagonal orthogonal--oriented quadrature pyramid (HOP) transform, which operates on a hexagonal input lattice, employs basis functions that are orthogonal, self--similar, and localized in space, spatial frequency, orientation, and phase. The basis functions, which are generated from seven basic types through a recursive process, form an image code of the pyramid type. The seven basic functions, six bandpass and one lowpass, occupy a point and a hexagon of six nearest neighbors on a hexagonal sample lattice. The six bandpass functions consist of three with even symmetry, and three with odd symmetry. The three even kernels are rotations of 0, 60, and 120 degrees of a common kernel; likewise for the three odd kernels. At the lowest level, the inputs are image samples. At each higher level, the input lattice is provided by the lowpass coefficients computed at the previous level. At each level, output is subsampled in such a way as to yield a new hexagonal lattice with a spacing $\sqrt{7}$ larger than the previous level, so that the number of coefficients is reduced by a factor of seven at each level. In the biological model, the input lattice is the retinal ganglion cell array. The resulting scheme provides a compact, efficient code of the image and generates receptive fields that resemble those of the primary visual cortex." } @Article{hein++:ieeeemc26/3, author = "Hein, David N. and Ahmed, Nasir", title = "Video Compression Using Conditional Replenishment and Motion Prediction", journal = IEEEEMC, year = 1984, volume = "EMC-26", number = "3", pages = "134--142", month = "August", } @InProceedings{weiler++:acsm-asprs91, author = "Weiler, Peter R. and Scarpace, Frank L. and Thoma, Micheal N.", title = "Difference Transformations for Improving Satellite Image Compression", booktitle = "1991 ACSM--ASPRS Annual Convention, Baltimore Md.", year = 1991, volume = 3, organiztion = ACSM, series = "Technical Papers", pages = "468--477", month = "March" } @InProceedings{allerd++:spie1702, author = "Allred, Lloyd G. and Kelly, Gary E.", title = "A Lossless image compression technique for infrared thermal images", booktitle = "Hybrid Image and Signal Processing II", organiztion = SPIE, year = 1992, volume = 1702, pages = "230--237" } @InProceedings{kemeny++:spie1242, author = "Kemeny, S. E. and Meadows, H. and Fossum, E. R.", title = "Design of a {CCD} focal--plane codec preprocessor for lossless image compression", booktitle = "Charge-Coupled Devices and Solid State Optical Sensors", organiztion = SPIE, year = 1990, volume = 1242, pages = "118--125" } @Article{huang++el27/22, author = "Huang, Y.-S. and Hsu, C.-Y.", title = "Tracking Moving Objects in Noisy Environments Using {Walsh} Transform", journal = ELECTLETTERS, year = 1991, volume = 27, number = 22, pages = "2079--2081", month = "October" } @Article{lewis++:el26/6, author = "Lewis, A. S. and Knowles, G.", title = "Video Compression Using 3-D Wavelet Transforms", journal = ELECTLETTERS, year = 1990, volume = 26, number = 2, pages = "396--398", month = "March" } @InProceedings{ansari++:spie1630, author = "Ansari, A. C. and Gertner, I. and Zeevi, Y. Y. and Tanenhaus, M. E.", title = "Image Compression: Wavelet-type Transform Along Generalized Scan", booktitle = "Synthetic Aperature Radar", year = 1992, volume = 1630, pages = "99--107", organization = SPIE, address = SPIE_addr } @InProceedings{klein:spie1249, author = "Klein, Stanley A.", title = "High Resolution and Image Compression Using the Discrete Cosine Transform", booktitle = "Human Vision and Electronic Imaging: Models, Methods, and Applications", year = 1990, pages = "135--145", volume = 1249 } @InProceedings{ramamoorthy++:icc86, author = "Ramamoorthy, P. A. and Tran, T.", title = "A High Quality Image Compression Scheme for Real-Time Applications", booktitle = "ICC '86; Proceedings of the International Conference on Communications", year = 1986, volume = 3, pages = "1893--1897", organization = IEEE, address = IEEE_addr, month = "June" } @InProceedings{sayood++:icc86, author = "Sayood, Khalid and Borkenhagen, Jay C.", title = "Utilization of Correlation in Low Rate {DPCM} Systems for Channel error Protection", booktitle = "ICC '86; Proceedings of the International Conference on Communications", year = 1986, volume = 3, pages = "1888--1892", organization = IEEE, address = IEEE_addr, month = "June" } @InProceedings{urban:itcusa87, author = "Urban, Michael G.", title = "Voyager Image Data Compression and Block Encoding", booktitle = "ITC/USA/'87; Proceedings of the International Telemetering Conference, San Diego, CA", year = 1987, pages = "137--162", organization = ISA, address = ISA_addr, month = "October" } @InProceedings{deutermann++:itcusa90, author = "Deutermann, Alan and Schaphorst, Richard", title = "Compression Techniques for Video Telemetry", booktitle = "ITC/USA/'87; Proceedings of the International Telemetering Conference, Las Vegas, NV", year = 1990, pages = "165--172", organization = ISA, address = ISA_addr, month = "October" } @Article{lewis++:ieeeip1/2, author = "Lewis, A. S. and Knowles, G.", title = "Image Compression Using the 2-D Wavelet Transform", journal = IEEEIP, year = 1992, volume = 1, number = 2, pages = "244--250", month = "April" } @Article{antonini++:ieeeip1/2, author = "Antonini, Marc and Barlaud, Michel and Mathieu, Pierre and Daubechies, Ingrid", title = "Image Coding Using Wavelet Transform", journal = IEEEIP, year = 1992, volume = 1, number = 2, pages = "205--220", month = "April" } @INPROCEEDINGS{sayood++:vipttr, AUTHOR = "Sayood, Khalid and Whyte, Wayne A. and Anderson, Karen S. and Shalkhauser, Mary Jo and Summers, Anne E.", TITLE = "Data Compression for the Migrogravity Experiments", BOOKTITLE = VIPTTR, ORGANIZATION = "NASA Conf.\ Pub.\ 3053", YEAR = 1989, PAGES = "93--120", ABSTRACT = "TO BE TYPED" } @INPROCEEDINGS{beaudet:vipttr, AUTHOR = "Beaudet, Paul R.", TITLE = "Context Dependent Prediction and Category Encoding for {DPCM} Image Compression", BOOKTITLE = VIPTTR, ORGANIZATION = "NASA Conf.\ Pub.\ 3053", YEAR = 1989, PAGES = "57--70", ABSTRACT = "TO BE TYPED" } @INPROCEEDINGS{kunt:vipttr, AUTHOR = "Kunt, Murat", TITLE = "High Compression Image and Image Sequence Coding", BOOKTITLE = VIPTTR, ORGANIZATION = "NASA Conf.\ Pub.\ 3053", YEAR = 1989, PAGES = "121--132", ABSTRACT = "TO BE TYPED" } @INPROCEEDINGS{coon++:vipttr, AUTHOR = "Coon, D. D. and Perera, A. G. U", TITLE = "Parallel Asynchronous Systems and Image Processing Algorithms", BOOKTITLE = VIPTTR, ORGANIZATION = "NASA Conf.\ Pub.\ 3053", YEAR = 1989, PAGES = "191--202", ABSTRACT = "TO BE TYPED" } @INPROCEEDINGS{gardner:vipttr, AUTHOR = "Gardner, Sheldon", TITLE = "Neural Networks for Data Compression and Invariant Image Recognition", BOOKTITLE = VIPTTR, ORGANIZATION = "NASA Conf.\ Pub.\ 3053", YEAR = 1989, PAGES = "203--214", ABSTRACT = "TO BE TYPED" } @INPROCEEDINGS{farrelle:vipttr, AUTHOR = "Farrelle, Paul M.", TITLE = "A Programmable Image Compression System", BOOKTITLE = VIPTTR, ORGANIZATION = "NASA Conf.\ Pub.\ 3053", YEAR = 1989, PAGES = "241--250", ABSTRACT = "TO BE TYPED" } @INPROCEEDINGS{lewis++:vipttr, AUTHOR = "Lewis, H. Garton and Forsyth, William B.", TITLE = "Hybrid {LZW} Compression", BOOKTITLE = VIPTTR, ORGANIZATION = "NASA Conf.\ Pub.\ 3053", YEAR = 1989, PAGES = "251--260", ABSTRACT = "TO BE TYPED" } @INPROCEEDINGS{cornsweet:vipttr, AUTHOR = "Cornsweet, Tom N.", TITLE = "Image Processing by Intensity-Dependent Spread ({IDS})", BOOKTITLE = VIPTTR, ORGANIZATION = "NASA Conf.\ Pub.\ 3053", YEAR = 1989, PAGES = "133--144", ABSTRACT = "TO BE TYPED" } @INPROCEEDINGS{kurrasch:vipttr, AUTHOR = "Kurrasch, Eleanor", TITLE = "Applications of the {IDS} Model", BOOKTITLE = VIPTTR, ORGANIZATION = "NASA Conf.\ Pub.\ 3053", YEAR = 1989, PAGES = "165--176", ABSTRACT = "TO BE TYPED" }