5.2 Two Dimensional Image Analysis Techniques

Jolion, J.M.[Jean-Michel],
Images and Benford's Law,
JMIV(14), No. 1, February 2001, pp. 73-81.
DOI Link 0102
(Benford's Law: (which was first stated by Simon Newcomb in 1881) states that if you randomly select a number from a table of physical constants or statistical data, the probability that the first digit will be a "1" is about 0.301, rather than 0.1 as we might expect if all digits were equally likely.) BibRef

Chalmond, B., Graffigne, C., Prenat, M., Roux, M.,
Contextual performance prediction for low-level image analysis algorithms,
IP(10), No. 7, July 2001, pp. 1039-1046.
IEEE DOI 0108
BibRef

Åström, K.[Kalle], Ersbøll, B.K.[Bjarne Kjær],
Introduction: Selected Papers from Statistical Methods for Image Processing,
PRL(22), No. 11, September 2001, pp. 1179.
Elsevier DOI 0108
A Satellite Conference of the 52nd ISI Session in Helsinki. Uppsala, Sweden, 6-9 August 1999 BibRef

Pycock, D., Pammu, S., Goode, A.J., Harman, S.A.,
Robust model-based signal analysis and identification,
PR(34), No. 11, November 2001, pp. 2181-2199.
Elsevier DOI 0108
BibRef

Fleury, M., Clark, A.F.,
Sampling concerns in scanline algorithms,
MedImg(16), No. 3, June 1997, pp. 349-361.
IEEE Top Reference. 0205
BibRef

Granata, J., Tolimieri, R.,
Matrix representations of the multidimensional overlap and add technique,
CirSysVideo(1), No. 3, September 1991, pp. 289-290.
IEEE Top Reference. 0206
BibRef

Cortelazzo, G.M., Mian, G.A.,
On two-dimensional group delay equalization,
CirSysVideo(1), No. 4, December 1991, pp. 362-369.
IEEE Top Reference. 0206
BibRef

Cortelazzo, G.M., Manduchi, R.,
On the determination of all the sublattices of preassigned index and its application to multidimensional subsampling,
CirSysVideo(3), No. 4, August 1993, pp. 318-320.
IEEE Top Reference. 0206
BibRef

Dougherty, E.R.[Edward R.], Barrera, J.[Junior],
Pattern Recognition Theory in Nonlinear Signal Processing,
JMIV(16), No. 3, May 2002, pp. 181-197.
DOI Link 0211
BibRef

Jafari, M.G., Alty, S.R., Chambers, J.A.,
New natural gradient algorithm for cyclostationary sources,
VISP(151), No. 1, February 2004, pp. 62-68.
IEEE Abstract. 0403
Source separarion. BibRef

Zarzoso, V., Nandi, A.K.,
Exploiting non-gaussianity in blind identification and equalisation of MIMO FIR channels,
VISP(151), No. 1, February 2004, pp. 69-75.
IEEE Abstract. 0403
BibRef

Dai, X.,
Adaptive blind source separation of multiple-input multiple-output linearly time-varying FIR system,
VISP(151), No. 4, August 2004, pp. 279-286.
IEEE Abstract. 0411
BibRef

Ortigueira, M.D., Machado, J.A.T., da Costa, J.S.,
Which differintegration?,
VISP(152), No. 6, December 2005, pp. 846-850.
DOI Link fractional calculus 0512
Both local (Grunwald-Letnikov) and global (convolutional) definitions are considered. It is shown that the Cauchy formulation should be< adopted since it is coherent with usual practice in signal processing and control applications. BibRef

O'Grady, P.D.[Paul D.], Pearlmutter, B.A.[Barak A.], Rickard, S.T.[Scott T.],
Survey of sparse and non-sparse methods in source separation,
IJIST(15), No. 1, 2005, pp. 18-33.
DOI Link 0507
Survey, Source Separation. BibRef

Torres, R., Pellat-Finet, P., Torres, Y.,
Sampling Theorem for Fractional Bandlimited Signals: A Self-Contained Proof. Application to Digital Holography,
SPLetters(13), No. 11, November 2006, pp. 676-679.
IEEE DOI 0610
BibRef

Onural, L.,
Projection-Slice Theorem as a Tool for Mathematical Representation of Diffraction,
SPLetters(14), No. 1, January 2007, pp. 43-46.
IEEE DOI 0701
Higher dimensional Dirac function. BibRef

Wang, S., Manton, J., Tay, D.B.H., Zhang, C., Devlin, J.C.,
An FFT-Based Method for Blind Identification of FIR SIMO Channels,
SPLetters(14), No. 7, July 2007, pp. 437-440.
IEEE DOI 0707
BibRef

Bobin, J.[Jérôme], Starck, J.L.[Jean-Luc], Fadili, J.M.[Jalal M.], Moudden, Y.[Yassir],
Sparsity and Morphological Diversity in Blind Source Separation,
IP(16), No. 11, November 2007, pp. 2662-2674.
IEEE DOI 0709
BibRef

Bobin, J.[Jérôme], Moudden, Y.[Yassir], Fadili, J.M.[Jalal M.], Starck, J.L.[Jean-Luc],
Morphological Diversity and Sparsity for Multichannel Data Restoration,
JMIV(33), No. 2, February 2009, pp. xx-yy.
Springer DOI 0903
BibRef

Bobin, J., Moudden, Y., Starck, J.L., Fadili, J.,
Sparsity and morphological diversity for hyperspectral data analysis,
ICIP09(1481-1484).
IEEE DOI 0911
BibRef

Legarda-Saenz, R.[Ricardo], Rivera, M.[Mariano],
Fast half-quadratic regularized phase tracking for nonnormalized fringe patterns,
JOSA-A(23), No. 11, November 2006, pp. 2724-2731.
DOI Link 0801
BibRef

Be'ery, E., Yeredor, A.,
Blind Separation of Superimposed Shifted Images Using Parameterized Joint Diagonalization,
IP(17), No. 3, March 2008, pp. 340-353.
IEEE DOI 0802
BibRef

Chen, Z., Maher, R.C.,
Analytical Expression for Impulse Response Between Two Nodes in 2-D Rectangular Digital Waveguide Mesh,
SPLetters(15), No. 1, 2008, pp. 221-224.
IEEE DOI 0802
BibRef

Haque, M.A.[M. Ariful], Al Bashar, M.S.[M. Shafi], Naylor, P.A.[Patrick A.], Hirose, K.[Keikichi], Hasan, M.K.[M. Kamrul],
Energy constrained frequency-domain normalized LMS algorithm for blind channel identification,
SIViP(1), No. 3, August 2007, pp. 203-213.
Springer DOI 0803
BibRef

Vasudevan, K.,
Turbo equalization of serially concatenated turbo codes using a predictive DFE-based receiver,
SIViP(1), No. 3, August 2007, pp. 239-252.
Springer DOI 0803
BibRef

Vasudevan, K.,
Iterative detection of turbo-coded offset QPSK in the presence of frequency and clock offsets and AWGN,
SIViP(6), No. 4, November 2012, pp. 557-567.
WWW Link. 1210
BibRef

Pal, S.K.[Sankar K.],
Fuzzy Image Processing and Recognition: Uncertainty Handling and Applications,
IJIG(1), No. 2, April 2001, pp. 169-195. 0104
BibRef

Miyamoto, K.[Kentaro], Kamina, T.[Tetsuo], Sugiyama, T.[Tetsuo], Kameyama, K.[Keisuke], Toraichi, K.[Kazuo], Ohmiya, Y.[Yasuhiro],
A Function Approximation Method for Images with Grading Regions,
IJIG(9), No. 1, January 2009, pp. 101-119. 0903
BibRef

Duarte-Carvajalino, J.M., Sapiro, G.,
Learning to Sense Sparse Signals: Simultaneous Sensing Matrix and Sparsifying Dictionary Optimization,
IP(18), No. 7, July 2009, pp. 1395-1408.
IEEE DOI 0906
BibRef

Savkovic, B.,
Decorrelating Properties of Chromatic Derivative Signal Representations,
SPLetters(17), No. 8, August 2010, pp. 770-773.
IEEE DOI 1007
BibRef

Pekonen, J., Nam, J., Smith, J.O., Valimaki, V.,
Optimized Polynomial Spline Basis Function Design for Quasi-Bandlimited Classical Waveform Synthesis,
SPLetters(19), No. 3, March 2012, pp. 159-162.
IEEE DOI 1202
BibRef

Petrovic, P.B.[Predrag B.],
New method and circuit for processing of band-limited periodic signals,
SIViP(6), No. 1, March 2012, pp. 109-123.
WWW Link. 1203
BibRef

Florack, L.M.J., Duits, R., Jongbloed, G., van Lieshout, M.C., Davies, L.,
Mathematical Methods for Signal and Image Analysis and Representation,
Springer2012. ISBN 978-1-4471-2352-1
WWW Link. 1203
Buy this book: Mathematical Methods for Signal and Image Analysis and Representation (Computational Imaging and Vision) BibRef

Einicke, G.A., Falco, G., Dunn, M.T., Reid, D.C.,
Iterative Smoother-Based Variance Estimation,
SPLetters(19), No. 5, May 2012, pp. 275-278.
IEEE DOI 1204
BibRef

Rigling, B.D.,
Maximum Likelihood Estimation of Band-Limited Power Law Spectrums,
SPLetters(19), No. 5, May 2012, pp. 307-310.
IEEE DOI 1204
BibRef

Shuman, D.I., Narang, S.K., Frossard, P., Ortega, A., Vandergheynst, P.,
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains,
SPMag(30), No. 3, 2012, pp. 83-98.
IEEE DOI 1304
BibRef

Florea, C.[Camelia], Gordan, M.[Mihaela], Vlaicu, A.[Aurel], Orghidan, R.[Radu],
Computationally Efficient Formulation of Sparse Color Image Recovery in the JPEG Compressed Domain,
JMIV(49), No. 1, May 2014, pp. 173-190.
Springer DOI 1404
Processing driectly on the JPEG data rather then the image. BibRef

Berisha, V., Hero, A.O.,
Empirical Non-Parametric Estimation of the Fisher Information,
SPLetters(22), No. 7, July 2015, pp. 988-992.
IEEE DOI 1412
Density measurement BibRef

Colominas, M.A., Humeau-Heurtier, A., Schlotthauer, G.,
Orientation-Independent Empirical Mode Decomposition for Images Based on Unconstrained Optimization,
IP(25), No. 5, May 2016, pp. 2288-2297.
IEEE DOI 1604
Frequency modulation based on unconstrained optimization, signal decomposition. BibRef

Cui, G., Yu, X., Iommelli, S., Kong, L.,
Exact Distribution for the Product of Two Correlated Gaussian Random Variables,
SPLetters(23), No. 11, November 2016, pp. 1662-1666.
IEEE DOI 1609
Monte Carlo methods BibRef

Bendory, T.[Tamir], Sidorenko, P.[Pavel], Eldar, Y.C.[Yonina C.],
On the Uniqueness of FROG Methods,
SPLetters(24), No. 5, May 2017, pp. 722-726.
IEEE DOI 1704
Delays. Laser pulse characterization. FROG: frequency-resolved optical gating. BibRef

Harris, J.I., Alam, F., Moir, T.J.,
A hybrid frequency-time domain symmetric adaptive decorrelator,
SIViP(11), No. 5, July 2017, pp. 921-928.
Springer DOI 1706
Sound mixing. BibRef

Xu, L.X.[Li-Xiang], Jiang, X.Y.[Xiao-Yi], Bai, L.[Lu], Xiao, J.[Jin], Luo, B.[Bin],
A hybrid reproducing graph kernel based on information entropy,
PR(73), No. 1, 2018, pp. 89-98.
Elsevier DOI 1709
Differential operator BibRef

Kay, S.[Steven], Rawashdeh, Y.[Yazan],
A New Random Variable Normalizing Transformation With Application to the GLRT,
SPLetters(25), No. 2, February 2018, pp. 189-193.
IEEE DOI 1802
maximum likelihood estimation, normal distribution, statistical testing, GLRT, approximate standard normal, signal resolution BibRef

van Eeghem, F.[Frederik], de Lathauwer, L.[Lieven],
Algorithms for Canonical Polyadic Decomposition With Block-Circulant Factors,
SPLetters(25), No. 6, June 2018, pp. 798-802.
IEEE DOI 1806
decomposition, matrix algebra, signal processing, stochastic processes, tensors, block-circulant factor matrices, uniqueness BibRef

Amaral, L.F.C., Lopes, M.V., Barros, A.K.,
A Nonquadratic Algorithm Based on the Extended Recursive Least-Squares Algorithm,
SPLetters(25), No. 10, October 2018, pp. 1535-1539.
IEEE DOI 1810
Signal processing algorithms, Mathematical model, Rayleigh channels, Stochastic processes, Kernel, tracking performance BibRef

Kulce, O.[Onur], Onural, L.[Levent],
Power Spectrum Equalized Scalar Representation of Wide-Angle Optical Field Propagation,
JMIV(60), No. 8, October 2018, pp. 1246-1260.
Springer DOI 1810
BibRef

Zhang, G.C.[Guang-Chen],
Input-output finite-region stability and stabilization for discrete the 2-D Roesser model,
JVCIR(57), 2018, pp. 253-261.
Elsevier DOI 1812
Two-dimensional Roesser model, Input-output finite region stability, Controllers of state feedback BibRef

Klibanov, M., Koshev, N., Nguyen, D., Nguyen, L., Brettin, A., Astratov, V.,
A Numerical Method to Solve a Phaseless Coefficient Inverse Problem from a Single Measurement of Experimental Data,
SIIMS(11), No. 4, 2018, pp. 2339-2367.
DOI Link 1901
BibRef

Breloy, A., Ginolhac, G., Renaux, A., Bouchard, F.,
Intrinsic Cramér-Rao Bounds for Scatter and Shape Matrices Estimation in CES Distributions,
SPLetters(26), No. 2, February 2019, pp. 262-266.
IEEE DOI 1902
covariance matrices, Hermitian matrices, signal processing, statistical analysis, statistical distributions, M-estimators BibRef

Hu, X.L.[Xiao-Li], Wen, J.J.[Jia-Jun], Lai, Z.H.[Zhi-Hui], Wong, W.K.[Wai Keung], Shen, L.L.[Lin-Lin],
Binary sparse signal recovery algorithms based on logic observation,
PR(90), 2019, pp. 147-160.
Elsevier DOI 1903
Inspired from the matching pursuit method and Bayesian method. Binary sparse signal recovery, Logic observation, Matching pursuit method, Bayesian method BibRef

Besson, O.[Olivier],
Detection of Gaussian Signal Using Adaptively Whitened Data,
SPLetters(26), No. 3, March 2019, pp. 430-434.
IEEE DOI 1903
Gaussian processes, signal detection, adaptive matched filter, adaptive detection schemes, sample covariance matrix S, Wishart matrices BibRef

Besson, O.[Olivier],
Adaptive Detection of Gaussian Rank-One Signals Using Adaptively Whitened Data and Rao, Gradient and Durbin Tests,
SPLetters(30), 2023, pp. 399-402.
IEEE DOI 2305
Covariance matrices, Detectors, Training, Signal to noise ratio, Adaptation models, Testing, Radar detection, Adaptive detection, whitened data BibRef

Venkitaraman, A.[Arun], Zachariah, D.[Dave],
Learning Sparse Graphs for Prediction of Multivariate Data Processes,
SPLetters(26), No. 3, March 2019, pp. 495-499.
IEEE DOI 1903
data analysis, graph theory, multivariate data process, sparse partial correlation graph, tuning-free, hyperparameter-free BibRef

Bouhlel, N.[Nizar], Dziri, A.[Ali],
Kullback-Leibler Divergence Between Multivariate Generalized Gaussian Distributions,
SPLetters(26), No. 7, July 2019, pp. 1021-1025.
IEEE DOI 1906
Gaussian distribution, Monte Carlo methods, Nakagami channels, stochastic processes, Lauricella function BibRef

Bouhlel, N.[Nizar], Rousseau, D.[David],
Exact Rényi and Kullback-Leibler Divergences Between Multivariate t-Distributions,
SPLetters(30), 2023, pp. 1672-1676.
IEEE DOI 2312
BibRef

Lu, X., Zhang, C., Wang, Z.,
Combined Belief Propagation-Mean Field Message Passing Algorithm for Dirichlet Process Mixtures,
SPLetters(26), No. 7, July 2019, pp. 1041-1045.
IEEE DOI 1906
Message passing, Bayes methods, Signal processing algorithms, Approximation algorithms, Mathematical model, mean field BibRef

Bayram, I.,
Signal Recovery From Norm Measurements,
SPLetters(26), No. 7, July 2019, pp. 1051-1055.
IEEE DOI 1906
Signal processing algorithms, Convergence, Minimization, Indexes, Imaging, Additives, Transforms, Phaseless imaging, Fienup's algorithm BibRef

Gao, W.[Wei], Chen, J.[Jie], Richard, C.[Cédric], Shi, W.T.[Wen-Tao], Zhang, Q.F.[Qun-Fei],
Transient Performance Analysis of the L_1-RLS,
SPLetters(29), 2022, pp. 90-94.
IEEE DOI 2202
Transient analysis, Signal processing algorithms, Mathematical models, Mean square error methods, L_1-RLS BibRef

Wen, J.M.[Jin-Ming], He, H.Y.[Hong-Yu], He, Z.[Zihao], Zhu, F.M.[Fu-Min],
A Pseudo-Inverse-Based Hard Thresholding Algorithm for Sparse Signal Recovery,
ITS(24), No. 7, July 2023, pp. 7621-7630.
IEEE DOI 2307
Matching pursuit algorithms, Sensors, Thresholding (Imaging), Sparse matrices, Costs, Computational complexity, pseudo-inverse-based hard thresholding algorithm BibRef

Miron, S.[Sebastian], Flamant, J.[Julien], Le Bihan, N.[Nicolas], Chainais, P.[Pierre], Brie, D.[David],
Quaternions in Signal and Image Processing: A comprehensive and objective overview,
SPMag(40), No. 6, September 2023, pp. 26-40.
IEEE DOI 2310
BibRef

Lu, D.Q.[Dai-Qiang], Cai, Z.M.[Zhi-Ming], Guo, W.[Wei], Yao, Z.X.[Zhi-Xiang], Cao, H.Z.[Huan-Zhi],
A Frequency-Azimuth Spectrum Estimation Method for Uniform Linear Array Based on Deconvolution,
RS(16), No. 3, 2024, pp. 518.
DOI Link 2402
Passive target detection. BibRef

Zhou, F.[Feng], Cicone, A.[Antonio], Zhou, H.M.[Hao-Min],
IRCNN: A novel signal decomposition approach based on iterative residue convolutional neural network,
PR(155), 2024, pp. 110670.
Elsevier DOI 2408
Empirical mode decomposition, Adaptive signal decomposition, Signal local average, Convolutional neural network, Residual network BibRef

Kim, W.[Woohyeok], Kim, G.[Geonu], Lee, J.Y.[Jun-Yong], Lee, S.Y.[Seung-Yong], Baek, S.H.[Seung-Hwan], Cho, S.[Sunghyun],
ParamISP: Learned Forward and Inverse ISPs Using Camera Parameters,
CVPR24(26067-26076)
IEEE DOI 2410
Training, Learning systems, ISO, Network architecture, Cameras, Vectors, Low-level vision BibRef

Xing, Y.Z.[Ya-Zhou], Qian, Z.[Zian], Chen, Q.F.[Qi-Feng],
Invertible Image Signal Processing,
CVPR21(6283-6292)
IEEE DOI 2111
Image coding, Pipelines, Transform coding, Signal processing, Rendering (computer graphics), Stability analysis BibRef

Zhang, S.Y.[Song-Yang], Cui, S.G.[Shu-Guang], Ding, Z.[Zhi],
Hypergraph-Based Image Processing,
ICIP20(216-220)
IEEE DOI 2011
Convolution, Image coding, Image edge detection, Tensile stress, Interpolation, Spectral analysis, Image processing, stationary process BibRef

Essabre, M., Bouatmani, E.M.E., Soulami, J., Assoudi, A.E., Yaagoubi, E.H.E.,
Design of fuzzy observer for a class of Takagi-Sugeno descriptor systems subject to unknown inputs,
ISCV17(1-6)
IEEE DOI 1710
Convergence, Mathematical model, Numerical models, Observers, Singular value decomposition, Stability analysis, Takagi-Sugeno model, Fuzzy unknown input observer, LMI, Takagi-Sugeno descriptor model, singular value decomposition BibRef

Hmaiddouch, I., Bouatmani, E.M.E., Soulami, J., Assoudi, A.E., Yaagoubi, E.H.E.,
Observer-based stabilization for a class of Takagi-Sugeno fuzzy descriptor systems,
ISCV17(1-7)
IEEE DOI 1710
Lyapunov methods, asymptotic stability, closed loop systems, control system synthesis, fuzzy control, fuzzy systems, linear matrix inequalities, observers, singular value decomposition, LMIs, TSFDMs, Takagi-Sugeno fuzzy descriptor systems, BibRef

Robini, M., Zhu, Y., Lv, X., Liu, W.,
Inexact half-quadratic optimization for image reconstruction,
ICIP16(3513-3517)
IEEE DOI 1610
Approximation algorithms BibRef

Åström, F.,
Color image regularization via channel mixing and half quadratic minimization,
ICIP16(4007-4011)
IEEE DOI 1610
Color BibRef

Gilboa, G.[Guy], Appleboim, E.[Eli], Saucan, E.[Emil], Zeevi, Y.Y.[Yehoshua Y.],
On the role of non-local Menger curvature in image processing,
ICIP15(4337-4341)
IEEE DOI 1512
Menger curvature BibRef

Soulard, R.[Raphael], Carre, P.[Philippe],
Elliptical monogenic representation of color images and local frequency analysis,
ICIP15(2290-2294)
IEEE DOI 1512
color extension for the monogenic representation. BibRef

Li, X.[Xue], Yao, H.X.[Hong-Xun], Sun, X.S.[Xiao-Shuai], Zhang, Y.H.[Yan-Hao],
On dense sampling size,
ICIP13(290-294)
IEEE DOI 1402
BibRef

Olhede, S.C.[Sofia C.], Ramirez, D.[David], Schreier, P.J.[Peter J.],
The random monogenic signal,
ICIP12(2493-2496).
IEEE DOI 1302
monogenic: decompose into local amplitude, orientation, and phase. BibRef

Madrid, H.[Humberto], Guerra, V.[Valia], Rojas, M.[Marielba],
Sampling Techniques for Monte Carlo Matrix Multiplication with Applications to Image Processing,
MCPR12(45-54).
Springer DOI 1208
BibRef

Basharat, A.[Arslan], Shah, M.[Mubarak],
Time series prediction by chaotic modeling of nonlinear dynamical systems,
ICCV09(1941-1948).
IEEE DOI 0909
Model nonlinear systems that exhibit deterministic behavior. BibRef

Ni, J.B.[Jing-Bo], Veltman, M.[Melanie], Matsakis, P.[Pascal],
Directional Force Field-Based Maps: Implementation and Application,
CAIP09(309-317).
Springer DOI 0909
BibRef

Ni, J.B.[Jing-Bo], Matsakis, P.[Pascal],
Force histograms computed in O(NlogN),
ICPR08(1-4).
IEEE DOI 0812
BibRef

Amar, A.[Alon], Weiss, A.J.[Anthony J.],
Resolution limits of closely spaced random signals given the desired success rate,
AVSBS07(488-492).
IEEE DOI 0709
BibRef

Ruan, R.Y.[Rong-Yao], Li, Y.Z.[Yong-Zhi], Ming, F.[Feng], Pan, R.L.[Ren-Liang],
Adaptive Tracking for Simple Linear Plants with Unknown Control Direction,
ICARCV06(1-6).
IEEE DOI 0612
Solving nonlinear systems.
See also Boundedness properties of simple, indirect adaptive-control systems. BibRef

Peyré, G.[Gabriel],
Best Basis Compressed Sensing,
SSVM07(80-91).
Springer DOI 0705
BibRef

Muñoz, A.[Alberto], de Diego, I.M.[Isaac Martín],
From Indefinite to Positive Semi-Definite Matrices,
SSPR06(764-772).
Springer DOI 0608
BibRef

Hanniel, I.[Iddo], Elber, G.[Gershon],
Subdivision Termination Criteria in Subdivision Multivariate Solvers,
GMP06(115-128).
Springer DOI 0607
Solutions for sets of non-linear multivariate constraints. BibRef

Georgiev, T.[Todor],
Covariant Derivatives and Vision,
ECCV06(IV: 56-69).
Springer DOI 0608
Different model to describe image processing. BibRef

Buzzi, J., Guichard, F.,
Noise in Imaging Chains: Correlations and Predictions,
ICIP05(I: 409-412).
IEEE DOI 0512
BibRef

Tappen, M.F., Russell, B.C., Freeman, W.T.,
Efficient graphical models for processing images,
CVPR04(II: 673-680).
IEEE DOI 0408
BibRef

Spies, H., Garbe, C.S.,
Dense Parameter Fields from Total Least Squares,
DAGM02(379 ff.).
Springer DOI 0303
BibRef

Christoudias, C.M., Georgescu, B., Meer, P.,
Synergism in low level vision,
ICPR02(IV: 150-155).
IEEE DOI 0211
BibRef

Koenderink, J.J., van Doorn, A.J.,
Image Processing Done Right,
ECCV02(I: 158 ff.).
Springer DOI 0205
BibRef

Kisilev, P., Zibulevsky, M., Zeevi, Y.Y.,
Blind separation of mixed images using multiscale transforms,
ICIP03(I: 309-312).
IEEE DOI 0312
BibRef
Earlier:
Blind Source Separation Using Multinode Sparse Representation,
ICIP01(III: 202-205).
IEEE DOI 0108
BibRef

Kim, K., Kwon, M., Park, H.,
An Effective Preprocessing Method for Fast Hierarchical Maximum Intensity Projection,
ICIP01(I: 850-853).
IEEE DOI 0108
BibRef
Earlier:
A Fast Hierarchical Algorithm of Maximum Intensity Projection,
ICIP00(Vol I: 745-748).
IEEE DOI 0008
BibRef

Herley, C.[Cormac], Wong, P.W.,
Minimum Rate Sampling of Signals with Arbitrary Frequency Support,
ICIP96(II: 85-88).
IEEE DOI BibRef 9600

Chai, S.M., Gentile, A., Lugo-Beauchamp, W.E., Cruz-Rivera, J.L., Wills, D.S.,
Hyper-Spectral Image Processing Applications on the SIMD Pixel Processor for the Digital Battlefield,
CVBVS99(130).
IEEE DOI BibRef 9900

Bülow, T.[Thomas], Sommer, G.[Gerald],
A Novel Approach to the 2D Analytic Signal,
CAIP99(25-32).
Springer DOI 9909
BibRef
Earlier:
Algebraically Extended Representations of Multi-Dimensional Signals,
SCIA97(xx-yy)
HTML Version. 9705
BibRef

Greenhill, D.R., and Jones, G.A.,
Automatic Analysis of Young's Fringes,
SCIA97(xx-yy)
HTML Version. 9705
BibRef

Chernov, V.M.[Vladimir M.],
On the group algebras' hierarchy pertaining to the parametrization of fast algorithms of Discrete Orthogonal Transforms,
CAIP95(655-660).
Springer DOI 9509
BibRef

Beck, R.N.,
Image processing in the context of imaging science,
ICIP95(II: 304-307).
IEEE DOI 9510
BibRef

Memin, E., Heitz, F., Charot, F.,
Efficient Parallel Multigrid Relaxation Algorithms for Markov Random Field-Based Low-Level Vision Applications,
CVPR94(644-648).
IEEE DOI BibRef 9400

Kawashima, T., Yoshino, K., Aoki, Y.,
Qualitative Image Analysis of Group Behaviour,
CVPR94(690-693).
IEEE DOI BibRef 9400

Tian, J.[Jie], Tai, J.W.[Ju-Wei], Zhang, X.S.[Xin-Sheng],
A probabilistic approach for solving Poisson equations in computer vision problems,
ICPR92(III:737-740).
IEEE DOI 9208
BibRef

Gu, G.G., Gennert, M.A.,
Boundary element methods for solving Poisson equations in computer vision problems,
CVPR91(546-551).
IEEE DOI 0403
BibRef

Kirsch, R.A., Cahn, L., Ray, L.C., Urban, G.H.,
Experiments in Processing Pictorial Information with a Digital Computer,
EJCC57(221-229), December 1957. BibRef 5712

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
General Image Processing and Pattern Recognition Papers .

Last update:Nov 26, 2024 at 16:40:19