{"id":170,"date":"2017-12-22T18:13:36","date_gmt":"2017-12-22T18:13:36","guid":{"rendered":"http:\/\/sites.rutgers.edu\/professor-example\/?page_id=170"},"modified":"2021-10-28T15:21:57","modified_gmt":"2021-10-28T15:21:57","slug":"publications","status":"publish","type":"page","link":"https:\/\/sites.rutgers.edu\/peter-meer\/publications\/","title":{"rendered":"Publications in journals"},"content":{"rendered":"<ul>\n<li>P. Meer, E.S. Baugher, A. Rosenfeld: Frequency domain analysis and synthesis of image pyramid generating kernels.\u00a0<i>IEEE Trans. Pattern Anal. Machine Intell.<\/i>\u00a09, 512-522, 1987.<\/li>\n<li>P. Meer: Efficient computation of two-dimensional Gaussian windows.\u00a0<i>Pattern Recognition Letters<\/i>\u00a07, 227-229, 1988.<\/li>\n<li>P. Meer, E.S. Baugher, A. Rosenfeld: Extraction of trend lines and extrema from multiscale curves.\u00a0<i>Pattern Recognition<\/i>\u00a021, 217-226, 1988.<\/li>\n<li>P. Meer, S.N. Jiang, E.S. Baugher, A. Rosenfeld: Robustness of image pyramids under structural perturbations.\u00a0<i>Computer Vision, Graphics, and Image Processing<\/i>\u00a044, 307-331, 1988.<\/li>\n<li>P. Meer: Simulation of constant size multiresolution representations on image pyramids.\u00a0<i>Pattern Recognition Letters<\/i>\u00a08, 229-236, 1988.<\/li>\n<li>P. Meer:\u00a0<a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2018\/12\/meerstoch89.pdf\">Stochastic image pyramids.<\/a>\u00a0<i>Computer Vision, Graphics, and Image Processing,<\/i>\u00a045, 269-294, 1989.<\/li>\n<li>P. Meer, S. Connelly: A fast parallel method for synthesis of random patterns.\u00a0<i>Pattern Recognition,<\/i>\u00a022, 189-204, 1989.<\/li>\n<li>P. Meer, S. Wang, H. Wechsler: Edge detection by associative mapping.\u00a0<i>Pattern Recognition,<\/i>\u00a022, 491-504, 1989.<\/li>\n<li>P. Meer, Y.Y. Zeevi: The role of stimulus structure in spatial hyperacuity.\u00a0<i>Spatial Vision,<\/i>\u00a04, 141-164, 1989.<\/li>\n<li>P. Meer, J.M. Jolion, A. Rosenfeld:\u00a0\u00a0<a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2018\/12\/noiseest.pdf\">A fast parallel algorithm for blind estimation of noise variance<\/a>.\u00a0\u00a0<i>IEEE Trans. Pattern Anal. Machine Intell.<\/i>\u00a012, 216-223, 1990.<\/li>\n<li>J.M. Jolion, P. Meer, A. Rosenfeld: Border delineation in image pyramids by concurrent tree growing.\u00a0<i>Pattern Recognition Letters<\/i>\u00a011, 107-116, 1990.<\/li>\n<li>P. Meer, C.A. Sher, A. Rosenfeld:\u00a0<a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2018\/12\/chainpyr.pdf\">The chain-pyramid. Hierarchical processing of contours.<\/a>\u00a0<i>IEEE Trans. Pattern Anal. Machine Intell.<\/i>\u00a012, 363-376, 1990.<\/li>\n<li>A. Montanvert, P. Meer, A. Rosenfeld:\u00a0<a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2018\/12\/ragpyr.pdf\">Hierarchical image analysis using irregular tessellations.<\/a>\u00a0<i>IEEE Trans. Pattern Anal. Machine Intell.<\/i>\u00a013, 307-316, 1991.<\/li>\n<li>P. Meer, D. Mintz, D.Y. Kim, A. Rosenfeld:\u00a0<a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2018\/12\/meerrob91.pdf\">Robust regression methods in computer vision: A review<\/a>.\u00a0<i>International Journal of Computer Vision<\/i>\u00a06, 59-70, 1991.<\/li>\n<li>R.-H. Park, P. Meer: Edge-preserving artifact-free smoothing with image pyramids.\u00a0<i>Pattern Recognition Letters<\/i>\u00a012, 467-475, 1991.<\/li>\n<li>J.M. Jolion, P. Meer, S. Bataouche:\u00a0<a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2018\/12\/robcluster.pdf\">Robust clustering with applications in computer vision<\/a>.\u00a0<i>IEEE Trans. Pattern Anal. Machine Intell.<\/i>\u00a013, 791-802, 1991.<\/li>\n<li>P. Meer, I. Weiss:\u00a0<a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2018\/12\/meeredge92.pdf\">Smoothed differentiation filters for images<\/a>.\u00a0<i>Journal of Visual Communication and Image Representation.\u00a0<\/i>3, 58-72, 1992.<\/li>\n<li>P. Meer, R.-H. Park, K. Cho:\u00a0<a href=\"https:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2018\/12\/multires.pdf\">Multiresolution adaptive image smoothing<\/a>.\u00a0<i>Computer Vision, Graphics, and Image Processing: Graphical Models and Image Processing<\/i>, 56, 140-148, 1994.<\/li>\n<li>R. Lenz, P. Meer: Point configuration invariants under simultaneous projective and permutation transformations.\u00a0<i>Pattern Recognition<\/i>\u00a027 1523-1533, 1994.<\/li>\n<li>S.G. Ziavras, P.Meer:\u00a0<a href=\"https:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2018\/12\/parcomp.pdf\">Adaptive multiresolution structures for image processing on parallel computers<\/a>.\u00a0<i>Journal of Parallel and Distributed Computing.<\/i>\u00a023, 475-483, 1994.<\/li>\n<li>J. Cabrera, P. Meer:\u00a0<a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2019\/01\/biasbootstrp.pdf\">Unbiased estimation of ellipses by bootstrapping<\/a>.\u00a0<i>IEEE Trans. Pattern Anal. Machine Intell<\/i>, 18, 752-756, 1996.<\/li>\n<li>D. Foran, P. Meer, T. Papathomas, I. Marsic:\u00a0<a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2018\/12\/telepathology.pdf\">Compression guidelines for diagnostic telepathology.<\/a>\u00a0<i>IEEE Trans. on Information Technology in Biomedicine<\/i>, 1, 55-60, 1997.<\/li>\n<li>K. Cho, P. Meer:\u00a0<a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2018\/12\/conseg.pdf\">Image segmentation from consensus information<\/a>.\u00a0<i>Computer Vision and Image Understanding<\/i>, 68, 72-89, 1997.<\/li>\n<li>K. Cho, P. Meer, J. Cabrera:\u00a0<a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2018\/12\/edgeperf.pdf\">Performance assessment through bootstrap.<\/a>\u00a0<i>IEEE Trans. Pattern Anal. Machine Intell.<\/i>, 19, 1185-1198, 1997.<\/li>\n<li>P. Meer, R. Lenz, S. Ramakrishna:\u00a0<a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2018\/12\/p2inv.pdf\">Efficient invariant representations<\/a>.\u00a0<i>International Journal of Computer Vision<\/i>, 26, 137-152, 1998.<\/li>\n<li>K.-M. Lee, P. Meer, R.-H. Park:\u00a0<a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2018\/12\/range.pdf\">Robust adaptive segmentation of range images.<\/a>\u00a0<i>IEEE Trans. Pattern Anal. Machine Intell<\/i>, 20, 200-205, 1998.<\/li>\n<li>P. Meer, D. Tyler: Image understanding and statistics. Comment on a paper by Chu et al. (Invited paper.)\u00a0<i>Journal of American Statistical Association<\/i>, 93, 548-553, 1998.<\/li>\n<li>M. Garza, P. Meer, V. Medina:\u00a0<a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2018\/12\/rob3seg.pdf\">Robust retrieval of 3D structures from image stacks.<\/a>\u00a0<i>Medical Image Analysis<\/i>, 3, 21\u201335, 1999.<\/li>\n<li>R. Lenz, P. Meer, M. Hauta-Kasari:\u00a0<a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2018\/12\/\/cra.pdf\">Spectral based illumination estimation and color correction.<\/a>\u00a0<i>Color Research and Application<\/i>, 24, 98-111, 1999.<\/li>\n<li>D. Comaniciu, P. Meer:\u00a0<a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2018\/12\/cluster.pdf\">Distribution free decomposition of multivariate data.<\/a>\u00a0<i>Pattern Analysis and Applications<\/i>, 2, 22-30, 1999.<\/li>\n<li>D. Comaniciu, P. Meer, D. Foran:\u00a0<a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2018\/12\/pathosys.pdf\">Image guided decision support system for pathology.<\/a>\u00a0<i>Machine Vision and Applications<\/i>, 11, 213-224, 1999.<\/li>\n<li>Y. Leedan, P. Meer:\u00a0<a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2018\/12\/heteroscedastic.pdf\">Heteroscedastic regression in computer vision: Problems with bilinear constraint<\/a>.\u00a0<i>International Journal on Computer Vision<\/i>, 37, 127-150, 2000.<\/li>\n<li>P. Meer, C.V. Stewart, D.E. Tyler:\u00a0<a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2018\/12\/specissue.pdf\">Robust computer vision: An interdisciplinary challenge.\u00a0<\/a><i>Computer Vision and Image Understanding\u00a0<\/i>, 78, 1-7, 2000.<\/li>\n<li>P. Meer:\u00a0<a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2018\/12\/cfar.pdf\">From a robust hierarchy to a hierarchy of robustness.\u00a0<\/a><i>Foundations of Image Analysis,\u00a0<\/i>L.S. Davis (Ed.), Kluwer, 323-347, 2001.<\/li>\n<li>D. Comaniciu, P. Meer:\u00a0<a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2018\/12\/cell.pdf\">Cell image segmentation for diagnostic pathology.<\/a>\u00a0<i>Advanced Algorithmic Approaches to Medical Image Segmentation: State-Of-The-Art Applications in Cardiology, Neurology, Mammography and Pathology\u00a0<\/i>. J. Suri, S. Singh and K. Setarehdan (Eds.), Springer, 2001, 541-558.<\/li>\n<li>P. Meer, B. Georgescu:\u00a0<a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2018\/12\/edgeconf-min.pdf\">Edge detection with embedded confidence.\u00a0<\/a><i>IEEE Trans. Pattern Anal. Machine Intell<\/i>,\u00a0<b>23<\/b>, 1351-1365, 2001.<\/li>\n<li>D. Comaniciu, P. Meer:\u00a0<a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2018\/12\/mnshft.pdf\">Mean shift: A robust approach toward feature space analysis.<\/a>\u00a0<i>IEEE Trans. Pattern Anal. Machine Intell<\/i>,\u00a0<b>24<\/b>, 603-619, 2002.<\/li>\n<li>D. Comaniciu, P. Meer, D.E. Tyler:\u00a0<a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2018\/12\/retrieval.pdf\">Dissimilarity computation through low rank corrections.<\/a>\u00a0<i>Pattern Recognition Letters<\/i>,\u00a0<b>24<\/b>, 227-236, 2003.<\/li>\n<li>D. Comaniciu, V. Ramesh, P. Meer:\u00a0<a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2018\/12\/kerneltrack.pdf\">Kernel-based object tracking.\u00a0<\/a><i>IEEE Trans. Pattern Anal. Machine Intell.<\/i>,\u00a0<b>25<\/b>, 564-577, 2003.<\/li>\n<li>P. Meer:\u00a0<a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2018\/12\/rotechcv.pdf\">Robust techniques for computer vision.\u00a0<\/a><i>Emerging Topics in Computer Vision<\/i>, G. Medioni and S. B. Kang (Eds.), Prentice Hall, 107-190, 2004.<\/li>\n<li>B. Georgescu, P. Meer: <a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2019\/01\/cdofm.pdf\">Point matching under large image deformations and illumination changes.\u00a0<\/a><i>IEEE Trans. Pattern Anal. Machine Intell<\/i>,\u00a0<b>26<\/b>, 674-689, 2004.<\/li>\n<li>H. Chen, P. Meer: <a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2019\/01\/smc_learning.pdf\">Robust fusion of uncertain information.\u00a0<\/a><i>IEEE Trans. Systems, Man, Cybernetics-Part B,<\/i>\u00a0<b>35<\/b>, 378-386, 2005.<\/li>\n<li>Wenjin Chen, P. Meer, B. Georgescu, Wei He, L. A. Goodell, D.J. Foran: <a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2019\/01\/intest.pdf\">Image mining for investigative pathology using optimized feature extraction and data fusion.<\/a><i>Computer Methods and Programs in Biomedicine\u00a0<\/i>,\u00a0<b>79,\u00a0<\/b>59-72, 2005.<\/li>\n<li>Lin Yang, P. Meer, D.J. Foran: <a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2019\/01\/snake.pdf\">Unsupervised segmentation based on robust estimation and color active contour models.\u00a0<\/a><i>IEEE Trans. on Information Technology in Biomedicine<\/i>,\u00a0<b>9,\u00a0<\/b>475-486, 2005.<\/li>\n<li>B. Matei, P. Meer:\u00a0\u00a0<a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2019\/01\/heivpami.pdf\">Estimation of nonlinear errors-in-variables models for computer vision applications.<\/a><i>IEEE Trans. Pattern Anal. Machine Intell.\u00a0<\/i>,\u00a0<b>28,\u00a0<\/b>1537-1552, 2006.<\/li>\n<li>O. Tuzel, L. Yang, P. Meer, D. Foran: <a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2019\/01\/thsvm.pdf\">Classification of hematologic malignancies using texton signatures.<\/a>\u00a0<i>Pattern Analysis and Applications,\u00a0<\/i>,\u00a0<b>10,<\/b>\u00a0277-290, 2007.<\/li>\n<li>O. Tuzel, F. Porikli, P. Meer: <a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2019\/01\/pedestrian_detection.pdf\">Pedestrian detection via classification on Riemannian manifolds.<\/a>\u00a0<i>IEEE Trans. Pattern Anal. Machine Intell.<\/i>,\u00a0<b>30,<\/b>\u00a01713-1727, 2008.<\/li>\n<li>Lin Yang, O. Tuzel, Wenjin Chen, P. Meer, G. Salaru, L.A. Goodell, A. Bagg, D.J. Foran: <a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2019\/01\/pathminer.pdf\">PathMiner: A web based tool for computer assisted diagnostics in pathology.<\/a><i>IEEE Transactions on Information Technology in BioMedicine<\/i>,\u00a0<b>13,<\/b>\u00a0291-299, 2009.<\/li>\n<li>Lin Yang, Wenjin Chen, P. Meer, G. Salaru, L.A. Goodell, V. Berstis, D.J. Foran: <a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2019\/01\/ibm_ITIB.pdf\">Virtual microscopy and grid-enabled decision support for large scale analysis of imaged pathology specimens.<\/a>\u00a0<i>IEEE Transactions on Information Technology in BioMedicine<\/i>,\u00a0<b>13,<\/b>\u00a0636-644, 2009.<\/li>\n<li>R. Subbarao, P. Meer:\u00a0<a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2019\/01\/manifoldmsijcv.pdf\">Nonlinear mean shift over Riemannian manifolds.<\/a> <i>International Journal on Computer Vision<\/i>,\u00a0<b>84,<\/b>\u00a01-20, 2009.<\/li>\n<li>Lin Yang, B. Georgescu, Yefeng Zheng, Yang Wang, P. Meer, D. Comaniciu:\u00a0<a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2019\/01\/bare_jml.pdf\">Predication based collaborative trackers (PCT): A robust and accurate approach toward 3D medical object tracking.<\/a> <i>IEEE Transactions on Medical Imaging<\/i>,\u00a0<b>30,<\/b>\u00a01921-1932, 2011.<\/li>\n<li>S. Mittal, P. Meer: <a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2019\/01\/gpbm_cg.pdf\">Conjugate gradient on Grassmann manifolds for robust subspace estimation<\/a><a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2018\/12\/gpbm_cg.html\">.<\/a>\u00a0<i>Image and Vision Computing<\/i>,\u00a0<b>30<\/b>, 417-427, 2012.<\/li>\n<li>S. Mittal, S. Anand, P. Meer: <a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2019\/01\/gpbmpami.pdf\">Generalized Projection Based M-Estimator<\/a><a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2018\/12\/gpbmpami.html\">.<\/a>\u00a0<i>IEEE Trans. Pattern Anal. Machine Intell.<\/i>,\u00a0<b>34,<\/b>\u00a02351-2364, 2012.<\/li>\n<li>P. Meer: <a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2019\/01\/pmopin.pdf\">Are we making real progress in computer vision today?\u00a0<\/a><i>Image and Vision Computing<\/i>,\u00a0<b>30<\/b>, 472-473, 2012.<\/li>\n<li>S. Anand, S. Mittal, O. Tuzel, P. Meer: <a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2019\/01\/skmspami.pdf\">Semi-supervised kernel mean shift clustering<\/a><a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2018\/12\/skmspami.html\">.<\/a>\u00a0<i>IEEE Trans. Pattern Anal. Machine Intell.<\/i>,\u00a0<b>36,<\/b>\u00a01201-1215, 2014.<\/li>\n<li>M. Baltaxe, P. Meer, M. Lindenbaum: <a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2019\/01\/segmtechnion.pdf\">Local variation as a statistical hypothesis test<\/a>.\u00a0<i>International Journal on Computer Vision<\/i>\u00a0<b>117,<\/b>\u00a0131-141, 2016.<\/li>\n<li>X. Yang, P. Meer, J. Meer: <a href=\"http:\/\/sites.rutgers.edu\/peter-meer\/wp-content\/uploads\/sites\/69\/2020\/05\/09091905.pdf\">A New Approach to Robust Estimation of Parametric Structures<\/a>.\u00a0 <i>IEEE Trans. Pattern Anal. Machine Intell.<\/i>, <b>43,<\/b> 3754&#8211;3769, 2021.<\/li>\n<\/ul>\n<p><a class=\"btn btn-primary\" href=\"\/contact\/\" target=\"_self\" rel=\"noopener noreferrer\">Contact Me<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>P. Meer, E.S. Baugher, A. Rosenfeld: Frequency domain analysis and synthesis of image pyramid generating kernels.\u00a0IEEE Trans. Pattern Anal. Machine Intell.\u00a09, 512-522, 1987. P. Meer: Efficient computation of two-dimensional Gaussian &hellip; <a href=\"https:\/\/sites.rutgers.edu\/peter-meer\/publications\/\" class=\"\">Read More<\/a><\/p>\n","protected":false},"author":11,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-170","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Publications in journals - Peter Meer<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sites.rutgers.edu\/peter-meer\/publications\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Publications in journals - Peter Meer\" \/>\n<meta property=\"og:description\" content=\"P. 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Meer, E.S. Baugher, A. Rosenfeld: Frequency domain analysis and synthesis of image pyramid generating kernels.\u00a0IEEE Trans. Pattern Anal. Machine Intell.\u00a09, 512-522, 1987. P. 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