4.5 Diffusion Process, Diffusion Operators, Mechanism, or Technique

Chapter Contents (Back)
Diffusion Process.
See also Diffusion Applied to Edge Detection. Also error diffusion for halftones:
See also Half Tone, Generation and Analysis, Printing. Image generation with Diffusion models:
See also Diffusion for Text to Image Generation.

Scott, G.L., Turner, S.C., Zisserman, A.,
Using a Mixed Wave-Diffusion Process to Elicit the Symmetry Set,
IVC(7), No. 1, February 1989, pp. 63-70.
Elsevier DOI locus of centers of circles bitangent to a curve. BibRef 8902

Whitaker, R.T.[Ross T.],
Geometry-Limited Diffusion in the Characterization of Geometric Patches in Images,
CVGIP(57), No. 1, January 1993, pp. 111-120.
DOI Link More than images. BibRef 9301

Whitaker, R.T.[Ross T.], Pizer, S.M.[Stephen M.],
A Multi-Scale Approach To Nonuniform Diffusion,
CVGIP(57), No. 1, January 1993, pp. 99-110.
DOI Link Combine multiple scales to locate boundaries. BibRef 9301

Whitaker, R.T.[Ross T.], and Pizer, S.M.[Stephen M.],
Geometry-Based Image Segmentation Using Anisotropic Diffusion,
MDSG94(641-650). BibRef 9400

Whitaker, R.T.[Ross T.], Gerig, G.[Guido],
Vector-Valued Diffusion,
GDDCV94(Chapter 3) BibRef 9400

Proesmans, M.[Marc], Pauwels, E.J.[Eric J.], Van Gool, L.J.[Luc J.], Leuven University
Coupled Geometry-Driven Diffusion Equations for Low-Level Vision,
GDDCV94(Chapter 7). BibRef 9400

Eberly, D.[David],
A Differential Geometric Approach to Anisotropic Diffusion,
GDDCV94(Chapter 12). University of North Carolina Chapel Hill BibRef 9400

Li, X.P.[Xiao-Ping], Chen, T.W.[Tong-Wen],
Nonlinear Diffusion with Multiple Edginess Thresholds,
PR(27), No. 8, August 1994, pp. 1029-1037.
Elsevier DOI BibRef 9408

You, Y.L.[Yu-Li], Xu, W.Y.[Wen-Yuan], Tannenbaum, A., Kaveh, M.,
Behavioral Analysis of Anisotropic Diffusion in Image Processing,
IP(5), No. 11, November 1996, pp. 1539-1553.
IEEE DOI 9611
BibRef
Earlier: A1, A4, A2, A3:
Analysis and design of anisotropic diffusion for image processing,
ICIP94(II: 497-501).
IEEE DOI 9411
BibRef
Earlier: A1, A2, A4, A3:
On ill-posed anisotropic diffusion models,
ICIP95(II: 268-271).
IEEE DOI 9510
BibRef

You, Y.L.[Yu-Li], Kaveh, M.,
Differences in the behaviors of continuous and discrete anisotropic diffusion equations for image processing,
ICIP98(III: 249-253).
IEEE DOI 9810
BibRef
Earlier:
Formation of Step Images During Anisotropic Diffusion,
ICIP97(III: 388-391).
IEEE DOI BibRef

Torkamaniazar, F., Tait, K.E.,
Image Recovery Using the Anisotropic Diffusion Equation,
IP(5), No. 11, November 1996, pp. 1573-1578.
IEEE DOI 9611
BibRef

Sapiro, G., Ringach, D.L.,
Anisotropic Diffusion of Multivalued Images with Applications to Color Filtering,
IP(5), No. 11, November 1996, pp. 1582-1586.
IEEE DOI 9611
BibRef

Black, M.J.[Michael J.], Sapiro, G., Marimont, D.H., Heeger, D.,
Robust Anisotropic Diffusion,
IP(7), No. 3, March 1998, pp. 421-432.
IEEE DOI
HTML Version. 9803
BibRef
Earlier: ScaleSpace97(xx). 9702
BibRef

Cottet, G.H., Germain, L.,
Image Processing Through Reaction Combined with Nonlinear Diffusion,
MathComp(61), No. 204, 1993, pp. 659-673. BibRef 9300

Kimia, B.B., Siddiqi, K.,
Geometric Heat-Equation and Nonlinear Diffusion of Shapes and Images,
CVIU(64), No. 3, November 1996, pp. 305-322.
DOI Link 9612
BibRef
Earlier: CVPR94(113-120).
IEEE DOI BibRef

Weickert, J.[Joachim],
Nonlinear Diffusion Scale-Spaces,
GSST97(221-234). Semidiscrete and fully discrete nonlinear scale-space theory. BibRef 9700

Weickert, J.[Joachim],
Recursive Separable Schemes for Nonlinear Diffusion Filters,
ScaleSpace97(xx). 9702
BibRef

Weickert, J., ter Haar Romeny, B.M., Viergever, M.A.,
Efficient and Reliable Schemes for Nonlinear Diffusion Filtering,
IP(7), No. 3, March 1998, pp. 398-410.
IEEE DOI 9803
BibRef

Weickert, J., Zuiderveld, K., ter Haar Romeny, B.M., and Niessen, W.J.,
Parallel Implementations of AOS Schemes: A Fast Way of Nonlinear Diffusion Filtering,
ICIP97(III: 396-399).
IEEE DOI BibRef 9700

Weickert, J.[Joachim],
Anisotropic Diffusion in Image Processing,
Teubner-VerlagStuttgart, Germany, 1998. Book on continuous and discrete nonlinear scale-space theory. BibRef 9800

Weickert, J.[Joachim],
Anisotropic Diffusion Filters for Image Processing Based Quality Control,
ConferenceSeventh European Conference on Mathematics in Industry. Teubner-Verlag, Stuttgart, 1994, pp. 355-362. BibRef 9400

Scherzer, O.[Otmar], Weickert, J.[Joachim],
Relations Between Regularization and Diffusion Filtering,
JMIV(12), No. 1, January 2000, pp. 43-63.
DOI Link 0505
BibRef

Niessen, W.J., ter Haar Romeny, B.M.[Bart M.], Florack, L.M.J., Salden, A.H.,
Nonlinear Diffusion of Scalar Images using Well-Posed Differential Operators with Applications in Medical Imaging,
CVPR94(92-97).
IEEE DOI BibRef 9400

Weickert, J.[Joachim],
Multiscale texture enhancement,
CAIP95(230-237).
Springer DOI 9509
Gap completion, diffusion tensor, structure tensor. BibRef

Fischl, B., Schwartz, E.L.,
Learning an Integral-Equation Approximation to Nonlinear Anisotropic Diffusion in Image-Processing,
PAMI(19), No. 4, April 1997, pp. 342-352.
IEEE DOI 9705
Obtain an approximate solution to the standard PDE formulation for some time. Use a learning procedure to find the kernel. BibRef

Fischl, B., Cohen, M.A., Schwartz, E.L.,
Rapid Anisotropic Diffusion Using Space-Variant Vision,
IJCV(28), No. 3, July/August 1998, pp. 199-212.
DOI Link 9809
BibRef

Fischl, B., Schwartz, E.L.,
Learned Adaptive Nonlinear Filtering for Anisotropic Diffusion Approximation in Image Processing,
ICPR96(IV: 276-280).
IEEE DOI 9608
(Dept. Cognitive and Neural Systems, USA) BibRef

Zhu, S.C.[Song Chun], Mumford, D.[David],
Prior Learning and Gibbs Reaction-Diffusion,
PAMI(19), No. 11, November 1997, pp. 1236-1250.
IEEE DOI 9712
BibRef

Zhu, S.C.[Song Chun], and Mumford, D.[David],
GRADE: Gibbs Reaction and Diffusion Equation,
ICCV98(847-854).
IEEE DOI BibRef 9800

Acton, S.T.,
Multigrid Anisotropic Diffusion,
IP(7), No. 3, March 1998, pp. 280-291.
IEEE DOI 9803
BibRef

Segall, A., and Acton, S.T.,
Morphological Anisotropic Diffusion,
ICIP97(III: 348-351).
IEEE DOI BibRef 9700

Segall, A., Acton, S.T.,
Gradient independent translation via differential morphology,
ICIP98(II: 727-731).
IEEE DOI 9810
BibRef

Acton, S.T., Ley, K.,
Tracking Leukocytes from in Vivo Video Microscopy Using Morphological Anisotropic Diffusion,
ICIP01(II: 300-303).
IEEE DOI 0108
BibRef

Acton, S.T., Bovik, A.C., Crawford, M.M.,
Anisotropic diffusion pyramids for image segmentation,
ICIP94(III: 478-482).
IEEE DOI 9411
BibRef

Acton, S.T.,
Edge enhancement of infrared imagery by way of the anisotropic diffusion pyramid,
ICIP96(I: 865-868).
IEEE DOI 9610
BibRef

Acton, S.T.,
Deconvolutional Speckle Reducing Anisotropic Diffusion,
ICIP05(I: 5-8).
IEEE DOI 0512
BibRef

Dibos, F.,
Projective Analysis of 2-D Images,
IP(7), No. 3, March 1998, pp. 274-279.
IEEE DOI 9803
BibRef

Cottet, G.H., El-Ayyadi, M.,
A Volterra Type Model for Image-Processing,
IP(7), No. 3, March 1998, pp. 292-303.
IEEE DOI 9803
BibRef

Sochen, N.A., Kimmel, R., Malladi, R.,
A General Framework for Low-Level Vision,
IP(7), No. 3, March 1998, pp. 310-318.
IEEE DOI 9803
BibRef

Teboul, S., Blanc-Feraud, L., Aubert, G., Barlaud, M.,
Variational Approach for Edge-Preserving Regularization Using Coupled PDEs,
IP(7), No. 3, March 1998, pp. 387-397.
IEEE DOI 9803
BibRef

Schnorr, C.,
A Study of a Convex Variational Diffusion Approach for Image Segmentation and Feature-Extraction,
JMIV(8), No. 3, May 1998, pp. 271-292.
DOI Link 9804
BibRef

Neumann, H.[Heiko], Pessoa, L.[Luiz], Mingolla, E.[Ennio],
A Neural Architecture of Brightness Perception: Nonlinear Contrast Detection and Geometry Driven Diffusion,
IVC(16), No. 6-7, May 18 1998, pp. 423-446.
Elsevier DOI 9806
Mach Bands. BibRef

Elfallah, A.I., Ford, G.E.,
On Mean-Curvature Diffusion in Nonlinear Image Filtering,
PRL(19), No. 5-6, April 1998, pp. 433-437. 9808
BibRef

Elfallah, A.I., Ford, G.E.,
Mean-Curvature Evolution and Surface-Area Scaling in Image Filtering,
IP(6), No. 5, May 1997, pp. 750-753.
IEEE DOI 9705
BibRef
Earlier:
The evolution of mean curvature in image filtering,
ICIP94(I: 298-302).
IEEE DOI 9411
BibRef

Ford, G.E., Elfallah, A.I.,
Inhomogeneous Surface Diffusion for Image Filtering,
IJIST(8), No. 5, 1997, pp. 450-456. 9710
BibRef

Jawerth, B.[Björn], Lin, P.[Peng], Sinzinger, E.[Eric],
Lattice Boltzmann Models for Anisotropic Diffusion of Images,
JMIV(11), No. 3, December 1999, pp. 231-237.
DOI Link BibRef 9912
Earlier:
Lattice Boltzmann Models for Nonlinear Diffusion Filtering,
ScaleSpace99(283-293). BibRef

Tang, B.[Bei], Sapiro, G.[Guillermo], Caselles, V.[Vicent],
Diffusion of General Data on Non-Flat Manifolds via Harmonic Maps Theory: The Direction Diffusion Case,
IJCV(36), No. 2, February 2000, pp. 149-161.
DOI Link 0004
BibRef
Earlier:
Direction Diffusion,
ICCV99(1245-1252).
IEEE DOI Diffusion with vector data. BibRef

Kimmel, R.[Ron], Malladi, R.[Raul], Sochen, N.A.[Nir A.],
Images as Embedded Maps and Minimal Surfaces: Movies, Color, Texture, and Volumetric Medical Images,
IJCV(39), No. 2, September 2000, pp. 111-129.
DOI Link 0008
BibRef
Earlier:
Images as Embedding Maps and Minimal Surfaces: Movies, Color, and Volumetric Medical Images,
CVPR97(350-355).
IEEE DOI 9704
Image processing framework. BibRef
And: A1, A3, A2:
Images as Embedding Maps and Minimal Surfaces: A Unified Approach for Image Diffusion,
ICIP97(III: 368-371).
IEEE DOI BibRef

Sochen, N.A., Kimmel, R., Bruckstein, A.M.,
Diffusions and Confusions in Signal and Image Processing,
JMIV(14), No. 3, May 2001, pp. 195-209.
DOI Link 0106
BibRef

Malm, H.[Henrik], Sparr, G.[Gunnar], Hult, J.[Johan], Kaminski, C.F.[Clemens F.],
Nonlinear diffusion filtering of images obtained by planar laser-induced fluorescence spectroscopy,
JOSA-A(17), No. 11, December 2000, pp. 2148-2156. 0101
BibRef

Pardo, A., Sapiro, G.,
Vector probability diffusion,
SPLetters(8), No. 4, April 2001, pp. 106-109.
IEEE Top Reference. 0001
BibRef
Earlier: A1 only: ICIP00(Vol I: 884-887).
IEEE DOI 0008
BibRef

Weickert, J.[Joachim], Heers, J.[Josef], Schnörr, C.[Christoph], Zuiderveld, K.J.[Karel J.], Scherzer, O.[Otmar], Stiehl, H.S.[H. Siegfried],
Fast Parallel Algorithms for a Broad Class of Nonlinear Variational Diffusion Approaches,
RealTimeImg(7), No. 1, February 2001, pp. 31-45.
DOI Link 0106
BibRef

Chen, Y.M.[Yun-Mei], Bose, P.[Paromita],
On the Incorporation of Time-delay Regularization into Curvature-Based Diffusion,
JMIV(14), No. 2, March 2001, pp. 149-164.
DOI Link 0106
BibRef

Lee, S.H.[Sang Hwa], Kanatsugu, Y.[Yasuaki], Park, J.I.[Jong-Il],
MAP-Based Stochastic Diffusion for Stereo Matching and Line Fields Estimation,
IJCV(47), No. 1-3, April-June 2002, pp. 195-218.
DOI Link 0203
BibRef
Earlier:
Object Segmentation in Stereo Image Using Cooperative Line Field in Stochastic Diffusion,
ICIP01(III: 62-65).
IEEE DOI 0108
BibRef

Lee, S.,
Correspondence and Line Field Estimation Using Map-based Probabilistic Diffusion Algorithm,
ICIP00(Vol I: 844-847).
IEEE DOI 0008
BibRef

Kimmel, R.[Ron], Sochen, N.A.[Nir A.],
Orientation Diffusion or How to Comb a Porcupine,
JVCIR(13), No. 1/2, March/June 2002, pp. 238-248.
DOI Link 0204
BibRef

Sochen, N.A., Kimmel, R.,
Combing porcupine via stereographic direction diffusion,
ScaleSpace01(xx-yy). 0106
BibRef

Handloviová, A.[Angela], Mikula, K.[Karol], Sgallari, F.[Fiorella],
Variational Numerical Methods for Solving Nonlinear Diffusion Equations Arising in Image Processing,
JVCIR(13), No. 1/2, March/June 2002, pp. 217-237.
DOI Link 0204
BibRef

Krivá, Z.[Zuzana], Mikula, K.[Karol],
An Adaptive Finite Volume Scheme for Solving Nonlinear Diffusion Equations in Image Processing,
JVCIR(13), No. 1/2, March/June 2002, pp. 22-35.
DOI Link 0204
BibRef

Grahs, T.[Thorsten], Sonar, T.[Thomas],
Entropy-Controlled Artificial Anisotropic Diffusion for the Numerical Solution of Conservation Laws Based on Algorithms from Image Processing,
JVCIR(13), No. 1/2, March/June 2002, pp. 176-194.
DOI Link 0204
BibRef

Chen, Y., Levine, S.E.,
Image Recovery via Diffusion Tensor and Time-Delay Regularization,
JVCIR(13), No. 1/2, March/June 2002, pp. 156-175.
DOI Link 0204
BibRef

Boccignone, G.[Giuseppe], Ferraro, M.[Mario], Caelli, T.M.[Terry M.],
Generalized Spatio-Chromatic Diffusion,
PAMI(24), No. 10, October 2002, pp. 1298-1309.
IEEE Abstract. 0210
Diffusion for color images. BibRef

Mrázek, P.[Pavel], Navara, M.[Mirko],
Selection of Optimal Stopping Time for Nonlinear Diffusion Filtering,
IJCV(52), No. 2-3, May-June 2003, pp. 189-203.
DOI Link 0301
BibRef
Earlier: A1 only: ScaleSpace01(xx-yy). 0106
BibRef

Shih, A.C., Liao, H.M., Lu, C.,
A new iterated two-band diffusion equation: theory and its application,
IP(12), No. 4, April 2003, pp. 466-476.
IEEE DOI 0306
BibRef

Barash, D.[Danny], Schlick, T.[Tamar], Israeli, M.[Moshe], Kimmel, R.[Ron],
Multiplicative Operator Splittings in Nonlinear Diffusion: From Spatial Splitting to Multiple Timesteps,
JMIV(19), No. 1, July 2003, pp. 33-48.
DOI Link 0307
BibRef

Manay, S., Yezzi, A.J.,
Anti-Geometric Diffusion for Adaptive Thresholding and Fast Segmentation,
IP(12), No. 11, November 2003, pp. 1310-1323.
IEEE DOI 0311
BibRef
And:
A second-order PDE tecumque to construct distance functions with more accurate derivatives,
ICIP03(I: 873-876).
IEEE DOI 0312
BibRef
Earlier:
Anti-geometric Diffusion for Adaptive Thresholding and Segmentation,
ICIP01(II: 829-832).
IEEE DOI 0108

See also Integral Invariants for Shape Matching.
See also Dynamic Shape and Appearance Modeling via Moving and Deforming Layers. BibRef

Benazza-Benyahia, A., Pesquet, J.C., Krim, H.,
A nonlinear diffusion-based three-band filter bank,
SPLetters(10), No. 12, December 2003, pp. 360-363.
IEEE Abstract. 0401
BibRef

Bao, Y.F.[Yu-Fang], Krim, H.[Hamid],
Smart Nonlinear Diffusion: A Probabilistic Approach,
PAMI(26), No. 1, January 2004, pp. 63-72.
IEEE Abstract. 0401
Analysis of diffusion.
See also Scale Space and Edge Detection using Anisotropic Diffusion. BibRef

Krim, H., Bao, Y.,
Nonlinear diffusion: A probabilistic view,
ICIP99(II:21-25).
IEEE DOI BibRef 9900

Chef d'Hotel, C., Tschumperlé, D., Deriche, R., Faugeras, O.D.,
Regularizing Flows for Constrained Matrix-Valued Images,
JMIV(20), No. 1-2, January-March 2004, pp. 147-162.
DOI Link 0403
BibRef
Earlier:
Constrained Flows of Matrix-Valued Functions: Application to Diffusion Tensor Regularization,
ECCV02(I: 251 ff.).
Springer DOI 0205

See also Vector-Valued Image Regularization with PDEs: A Common Framework for Different Applications. BibRef

Bruhn, A.[Andrés], Jakob, T.[Tobias], Fischer, M.[Markus], Kohlberger, T.[Timo], Weickert, J.[Joachim], Brüning, U.[Ulrich], Schnörr, C.[Christoph],
High performance cluster computing with 3-D nonlinear diffusion filters,
RealTimeImg(10), No. 1, February 2004, pp. 41-51.
Elsevier DOI 0405
BibRef
Earlier:
Designing 3-D Nonlinear Diffusion Filters for High Performance Cluster Computing,
DAGM02(290 ff.).
Springer DOI 0303
BibRef

Kim, H.Y.[Hae Yong], Giacomantone, J.[Javier], Cho, Z.H.[Zang Hee],
Robust anisotropic diffusion to produce enhanced statistical parametric map from noisy fMRI,
CVIU(99), No. 3, September 2005, pp. 435-452.
Elsevier DOI 0508
BibRef

Narayan, B.L., Murthy, C.A., Pal, S.K.[Sankar K.],
Maxdiff kd-trees for data condensation,
PRL(27), No. 3, February 2006, pp. 187-200.
Elsevier DOI 0512
BibRef

Yu, H.[Hongchuan], Chua, C.S.[Chin-Seng],
GVF-Based Anisotropic Diffusion Models,
IP(15), No. 6, June 2006, pp. 1517-1524.
IEEE DOI 0606
BibRef
Earlier:
Image Anisotropic Diffusion Based on Gradient Vector Flow Fields,
ECCV04(Vol III: 288-301).
Springer DOI 0405
BibRef

Martin-Herrero, J.[Julio],
Anisotropic Diffusion in the Hypercube,
GeoRS(45), No. 5, May 2007, pp. 1386-1398.
IEEE DOI 0704
BibRef

Duarte-Carvajalino, J.M.[Julio M.], Castillo, P.E.[Paul E.], Velez-Reyes, M.[Miguel],
Comparative Study of Semi-Implicit Schemes for Nonlinear Diffusion in Hyperspectral Imagery,
IP(16), No. 5, May 2007, pp. 1303-1314.
IEEE DOI 0704
BibRef

Duarte-Carvajalino, J.M., Sapiro, G., Vélez-Reyes, M.[Miguel], Castillo, P.E.,
Multiscale Representation and Segmentation of Hyperspectral Imagery Using Geometric Partial Differential Equations and Algebraic Multigrid Methods,
GeoRS(46), No. 8, August 2008, pp. 2418-2434.
IEEE DOI 0808
BibRef

Lam, S.Y.M., Shi, B.E.,
Recursive Anisotropic 2-D Gaussian Filtering Based on a Triple-Axis Decomposition,
IP(16), No. 7, July 2007, pp. 1925-1930.
IEEE DOI 0707
BibRef

Plonka, G., Ma, J.,
Nonlinear Regularized Reaction-Diffusion Filters for Denoising of Images With Textures,
IP(17), No. 8, August 2008, pp. 1283-1294.
IEEE DOI 0808
BibRef

Galic, I.[Irena], Weickert, J.[Joachim], Welk, M.[Martin], Bruhn, A.[Andrés], Belyaev, A.[Alexander], Seidel, H.P.[Hans-Peter],
Image Compression with Anisotropic Diffusion,
JMIV(31), No. 2-3, July 2008, pp. 255-269.
WWW Link. 0711
BibRef

Peter, P.[Pascal], Weickert, J.[Joachim],
Colour image compression with anisotropic diffusion,
ICIP14(4822-4826)
IEEE DOI 1502
Anisotropic magnetoresistance BibRef

Mainberger, M.[Markus], Bruhn, A.[Andres], Weickert, J.[Joachim], Forchhammer, S.[Soren],
Edge-based compression of cartoon-like images with homogeneous diffusion,
PR(44), No. 9, September 2011, pp. 1859-1873.
Elsevier DOI 1106
Image compression, Partial differential equations (PDEs), Laplace equation, Contour coding, Cartoon-like images, Second-generation coding, Multigrid BibRef

Hoffmann, S.[Sebastian], Mainberger, M.[Markus], Weickert, J.[Joachim], Puhl, M.[Michael],
Compression of Depth Maps with Segment-Based Homogeneous Diffusion,
SSVM13(319-330).
Springer DOI 1305
BibRef

Mainberger, M.[Markus], Weickert, J.[Joachim],
Edge-Based Image Compression with Homogeneous Diffusion,
CAIP09(476-483).
Springer DOI 0909
BibRef

Schmaltz, C.[Christian], Weickert, J.[Joachim], Bruhn, A.[Andrés],
Beating the Quality of JPEG 2000 with Anisotropic Diffusion,
DAGM09(452-461).
Springer DOI 0909
BibRef

Guidotti, P.[Patrick], Lambers, J.V.[James V.],
Two New Nonlinear Nonlocal Diffusions for Noise Reduction,
JMIV(33), No. 1, January 2009, pp. xx-yy.
Springer DOI 0804
BibRef

Gur, Y.[Yaniv], Sochen, N.A.[Nir A.],
Regularizing Flows over Lie Groups,
JMIV(33), No. 2, February 2009, pp. xx-yy.
Springer DOI 0903
BibRef
Earlier:
Coordinate-Free Diffusion over Compact Lie-Groups,
SSVM07(580-591).
Springer DOI 0705
BibRef

Didas, S.[Stephan], Weickert, J.[Joachim], Burgeth, B.[Bernhard],
Properties of Higher Order Nonlinear Diffusion Filtering,
JMIV(33), No. 3, November 2009, pp. xx-yy.
Springer DOI 0909
BibRef
Earlier:
Stability and Local Feature Enhancement of Higher Order Nonlinear Diffusion Filtering,
DAGM05(451).
Springer DOI 0509
BibRef

Didas, S.[Stephan], Weickert, J.[Joachim],
From Adaptive Averaging to Accelerated Nonlinear Diffusion Filtering,
DAGM06(101-110).
Springer DOI 0610
BibRef

Breuß, M.[Michael], Brox, T.[Thomas], Sonar, T.[Thomas], Weickert, J.[Joachim],
Stabilised Nonlinear Inverse Diffusion for Approximating Hyperbolic PDEs,
ScaleSpace05(536-547).
Springer DOI 0505
BibRef

Franken, E.[Erik], Duits, R.[Remco],
Crossing-Preserving Coherence-Enhancing Diffusion on Invertible Orientation Scores,
IJCV(85), No. 3, December 2009, pp. xx-yy.
Springer DOI 0911
BibRef

Franken, E.[Erik], Duits, R.[Remco], ter Haar Romeny, B.M.[Bart M.],
Curvature Estimation for Enhancement of Crossing Curves,
MMBIA07(1-8).
IEEE DOI 0710
BibRef

Franken, E.[Erik], Duits, R.[Remco],
Scale Spaces on the 3D Euclidean Motion Group for Enhancement of HARDI Data,
SSVM09(820-831).
Springer DOI 0906
BibRef

Franken, E.[Erik], Duits, R.[Remco], ter Haar Romeny, B.M.[Bart M.],
Nonlinear Diffusion on the 2D Euclidean Motion Group,
SSVM07(461-472).
Springer DOI 0705
BibRef

Duits, R.[Remco], Franken, E.[Erik],
Line Enhancement and Completion via Linear Left Invariant Scale Spaces on SE(2),
SSVM09(795-807).
Springer DOI 0906
BibRef

Steidl, G.[Gabriele], Teuber, T.,
Diffusion Tensors for Processing Sheared and Rotated Rectangles,
IP(18), No. 12, December 2009, pp. 2640-2648.
IEEE DOI 0912
BibRef

Sun, J.[Jian], Xu, Z.B.[Zong-Ben],
Scale selection for anisotropic diffusion filter by Markov random field model,
PR(43), No. 8, August 2010, pp. 2630-2645.
Elsevier DOI 1006
Scale selection, Anisotropic diffusion filter, Scale space, Markov random field model, Tree-reweighted message passing, Image denoising; Noise estimation BibRef

Astola, L.[Laura], Fuster, A.[Andrea], Florack, L.M.J.[Luc M.J.],
A Riemannian Scalar Measure for Diffusion Tensor Images,
PR(44), No. 9, September 2011, pp. 1885-1891.
Elsevier DOI 1106
BibRef
Earlier: A2, A1, A3: Fuster, A.[Andrea], Astola, L.[Laura], Florack, L.M.J.[Luc M.J.], CAIP09(419-426).
Springer DOI 0909
Riemann geometry, Diffusion tensor imaging, Ricci scalar, Finsler geometry, High angular resolution diffusion imaging BibRef

Astola, L.[Laura], Florack, L.M.J.[Luc M.J.],
Sticky vector fields, and other geometric measures on diffusion tensor images,
MMBIA08(1-7).
IEEE DOI 0806
BibRef

Florack, L.M.J.[Luc M.J.], Astola, L.[Laura],
A multi-resolution framework for diffusion tensor images,
Tensor08(1-7).
IEEE DOI 0806
BibRef

Felsberg, M.[Michael],
Autocorrelation-Driven Diffusion Filtering,
IP(20), No. 7, July 2011, pp. 1797-1806.
IEEE DOI 1107
BibRef
Earlier:
On the Relation between Anisotropic Diffusion and Iterated Adaptive Filtering,
DAGM08(xx-yy).
Springer DOI 0806
BibRef

Ĺström, F.[Freddie], Felsberg, M.[Michael], Baravdish, G.[George],
Mapping-Based Image Diffusion,
JMIV(57), No. 3, March 2017, pp. 293-323.
Springer DOI 1702
BibRef

Ĺström, F.[Freddie], Zografos, V.[Vasileios], Felsberg, M.[Michael],
Density Driven Diffusion,
SCIA13(718-730).
Springer DOI 1311
BibRef

Sayin, M.O., Kozat, S.S.,
Single Bit and Reduced Dimension Diffusion Strategies Over Distributed Networks,
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BioIm23(3812-3822)
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FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model,
ICCV23(23117-23127)
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WWW Link. 2401
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ICCV23(7246-7256)
IEEE DOI 2401
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Efficient Diffusion Training via Min-SNR Weighting Strategy,
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WWW Link. 2401
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Q-Diffusion: Quantizing Diffusion Models,
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IEEE DOI 2401
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IEEE DOI 2401
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ICCV23(7720-7731)
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ICCV23(2426-2436)
IEEE DOI 2401
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IEEE DOI 2401
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ECV23(4599-4603)
IEEE DOI 2309
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GCV23(843-852)
IEEE DOI 2309
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Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding,
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IEEE DOI 2309
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IEEE DOI 2309
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CVPR23(22552-22562)
IEEE DOI 2309
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EDICT: Exact Diffusion Inversion via Coupled Transformations,
CVPR23(22532-22541)
IEEE DOI 2309
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Chung, H.[Hyungjin], Ryu, D.[Dohoon], Mccann, M.T.[Michael T.], Klasky, M.L.[Marc L.], Ye, J.C.[Jong Chul],
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CVPR23(22542-22551)
IEEE DOI 2309
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Yu, S.[Sihyun], Sohn, K.[Kihyuk], Kim, S.B.[Su-Bin], Shin, J.[Jinwoo],
Video Probabilistic Diffusion Models in Projected Latent Space,
CVPR23(18456-18466)
IEEE DOI 2309
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Liu, B.[Bowen], Chen, Y.[Yu], Machineni, R.C.[Rakesh Chowdary], Liu, S.Y.[Shi-Yu], Kim, H.S.[Hun-Seok],
MMVC: Learned Multi-Mode Video Compression with Block-based Prediction Mode Selection and Density-Adaptive Entropy Coding,
CVPR23(18487-18496)
IEEE DOI 2309
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CVPR23(18497-18506)
IEEE DOI 2309
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WIRE: Wavelet Implicit Neural Representations,
CVPR23(18507-18516)
IEEE DOI 2309
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Yang, R.[Runzhao],
TINC: Tree-Structured Implicit Neural Compression,
CVPR23(18517-18526)
IEEE DOI 2309
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Lu, H.[Hao], Yu, Z.T.[Zi-Tong], Niu, X.S.[Xue-Song], Chen, Y.C.[Ying-Cong],
Neuron Structure Modeling for Generalizable Remote Physiological Measurement,
CVPR23(18589-18599)
IEEE DOI 2309
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Explaining Image Classifiers with Multiscale Directional Image Representation,
CVPR23(18600-18609)
IEEE DOI 2309
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Integrally Pre-Trained Transformer Pyramid Networks,
CVPR23(18610-18620)
IEEE DOI 2309
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Gao, S.[Shenyuan], Zhou, C.[Chunluan], Zhang, J.[Jun],
Generalized Relation Modeling for Transformer Tracking,
CVPR23(18686-18695)
IEEE DOI 2309
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CVPR23(18696-18705)
IEEE DOI 2309
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Girase, H.[Harshayu], Agarwal, N.[Nakul], Choi, C.[Chiho], Mangalam, K.[Karttikeya],
Latency Matters: Real-Time Action Forecasting Transformer,
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IEEE DOI 2309
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IEEE DOI 2309
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Ge, Y.Y.[Yu-Ying], Macaluso, A.[Annabella], Li, L.E.[Li Erran], Luo, P.[Ping], Wang, X.L.[Xiao-Long],
Policy Adaptation from Foundation Model Feedback,
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IEEE DOI 2309
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Khattak, M.U.[Muhammad Uzair], Rasheed, H.[Hanoona], Maaz, M.[Muhammad], Khan, S.[Salman], Khan, F.S.[Fahad Shahbaz],
MaPLe: Multi-modal Prompt Learning,
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IEEE DOI 2309
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Chen, A.[Aochuan], Yao, Y.G.[Yu-Guang], Chen, P.Y.[Pin-Yu], Zhang, Y.H.[Yi-Hua], Liu, S.J.[Si-Jia],
Understanding and Improving Visual Prompting: A Label-Mapping Perspective,
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IEEE DOI 2309
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Kim, J.[Jinwoo], Choi, J.[Janghyuk], Choi, H.J.[Ho-Jin], Kim, S.J.[Seon Joo],
Shepherding Slots to Objects: Towards Stable and Robust Object-Centric Learning,
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Learning Visual Representations via Language-Guided Sampling,
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IEEE DOI 2309
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Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval,
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IEEE DOI 2309
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Ye, M.Y.[Mao-Yuan], Zhang, J.[Jing], Zhao, S.S.[Shan-Shan], Liu, J.[Juhua], Liu, T.L.[Tong-Liang], Du, B.[Bo], Tao, D.C.[Da-Cheng],
DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text Spotting,
CVPR23(19348-19357)
IEEE DOI 2309
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Fang, Y.X.[Yu-Xin], Wang, W.[Wen], Xie, B.[Binhui], Sun, Q.[Quan], Wu, L.[Ledell], Wang, X.G.[Xing-Gang], Huang, T.J.[Tie-Jun], Wang, X.L.[Xin-Long], Cao, Y.[Yue],
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale,
CVPR23(19358-19369)
IEEE DOI 2309
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Zhu, S.[Sijie], Yang, L.J.[Lin-Jie], Chen, C.[Chen], Shah, M.[Mubarak], Shen, X.H.[Xiao-Hui], Wang, H.[Heng],
$R^2$ Former: Unified Retrieval and Reranking Transformer for Place Recognition,
CVPR23(19370-19380)
IEEE DOI 2309
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Ofri-Amar, D.[Dolev], Geyer, M.[Michal], Kasten, Y.[Yoni], Dekel, T.[Tali],
Neural Congealing: Aligning Images to a Joint Semantic Atlas,
CVPR23(19403-19412)
IEEE DOI 2309
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Liu, W.H.[Wei-Huang], Shen, X.[Xi], Pun, C.M.[Chi-Man], Cun, X.D.[Xiao-Dong],
Explicit Visual Prompting for Low-Level Structure Segmentations,
CVPR23(19434-19445)
IEEE DOI 2309
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Fan, Y.F.[Yun-Feng], Xu, W.C.[Wen-Chao], Wang, H.Z.[Hao-Zhao], Wang, J.X.[Jun-Xiao], Guo, S.[Song],
PMR: Prototypical Modal Rebalance for Multimodal Learning,
CVPR23(20029-20038)
IEEE DOI 2309
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Wei, S.[Shicai], Luo, C.[Chunbo], Luo, Y.[Yang],
MMANet: Margin-Aware Distillation and Modality-Aware Regularization for Incomplete Multimodal Learning,
CVPR23(20039-20049)
IEEE DOI 2309
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Wang, S.[Shuai], Zhang, D.[Daoan], Yan, Z.[Zipei], Zhang, J.G.[Jian-Guo], Li, R.[Rui],
Feature Alignment and Uniformity for Test Time Adaptation,
CVPR23(20050-20060)
IEEE DOI 2309
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Li, Z.H.[Zhi-Heng], Evtimov, I.[Ivan], Gordo, A.[Albert], Hazirbas, C.[Caner], Hassner, T.[Tal], Ferrer, C.C.[Cristian Canton], Xu, C.L.[Chen-Liang], Ibrahim, M.[Mark],
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others,
CVPR23(20071-20082)
IEEE DOI 2309
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Ye, J.W.[Jing-Wen], Liu, S.[Songhua], Wang, X.C.[Xin-Chao],
Partial Network Cloning,
CVPR23(20137-20146)
IEEE DOI 2309
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IEEE DOI 2309
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Zhang, X.X.[Xing-Xuan], Xu, R.Z.[Ren-Zhe], Yu, H.[Han], Zou, H.[Hao], Cui, P.[Peng],
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IEEE DOI 2309
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Han, M.Q.[Meng-Qiao], Pan, L.Y.[Li-Yuan], Liu, X.B.[Xia-Bi],
AstroNet: When Astrocyte Meets Artificial Neural Network,
CVPR23(20258-20268)
IEEE DOI 2309
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Ding, N.[Ning], Tang, Y.[Yehui], Han, K.[Kai], Xu, C.[Chao], Wang, Y.H.[Yun-He],
Network Expansion For Practical Training Acceleration,
CVPR23(20269-20279)
IEEE DOI 2309
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Ren, J.[Jie], Li, M.J.[Ming-Jie], Chen, Q.[Qirui], Deng, H.Q.[Hui-Qi], Zhang, Q.[Quanshi],
Defining and Quantifying the Emergence of Sparse Concepts in DNNs,
CVPR23(20280-20289)
IEEE DOI 2309
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Garg, I.[Isha], Roy, K.[Kaushik],
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CVPR23(20290-20300)
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Xiao, Y.[Yao], Tang, Z.[Ziyi], Wei, P.X.[Peng-Xu], Liu, C.[Cong], Lin, L.[Liang],
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CVPR23(20301-20310)
IEEE DOI 2309
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Qraitem, M.[Maan], Saenko, K.[Kate], Plummer, B.A.[Bryan A.],
Bias Mimicking: A Simple Sampling Approach for Bias Mitigation,
CVPR23(20311-20320)
IEEE DOI 2309
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Wang, G.H.[Guo-Hua], Wu, J.X.[Jian-Xin],
Practical Network Acceleration with Tiny Sets,
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IEEE DOI 2309
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Tomar, D.[Devavrat], Vray, G.[Guillaume], Bozorgtabar, B.[Behzad], Thiran, J.P.[Jean-Philippe],
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation,
CVPR23(20341-20350)
IEEE DOI 2309
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Li, X.D.[Xiao-Dan], Chen, Y.F.[Yue-Feng], Zhu, Y.[Yao], Wang, S.H.[Shu-Hui], Zhang, R.[Rong], Xue, H.[Hui],
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CVPR23(20371-20381)
IEEE DOI 2309
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Huang, H.[Hao], Chen, Z.Y.[Zi-Yan], Chen, H.[Huanran], Wang, Y.T.[Yong-Tao], Zhang, K.[Kevin],
T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection,
CVPR23(20514-20523)
IEEE DOI 2309
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Yin, S.L.[Sheng-Lin], Yao, K.[Kelu], Shi, S.[Sheng], Du, Y.Z.[Yang-Zhou], Xiao, Z.[Zhen],
AGAIN: Adversarial Training with Attribution Span Enlargement and Hybrid Feature Fusion,
CVPR23(20544-20553)
IEEE DOI 2309
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Wang, H.J.[Hong-Jun], Wang, Y.[Yisen],
Generalist: Decoupling Natural and Robust Generalization,
CVPR23(20554-20563)
IEEE DOI 2309
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Wang, Y.[Yimu], Zhang, D.[Dinghuai], Wu, Y.[Yihan], Huang, H.[Heng], Zhang, H.Y.[Hong-Yang],
Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets,
CVPR23(20564-20574)
IEEE DOI 2309
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Lin, H.T.[Hao-Tong], Wang, Q.Q.[Qian-Qian], Cai, R.[Ruojin], Peng, S.[Sida], Averbuch-Elor, H.[Hadar], Zhou, X.W.[Xiao-Wei], Snavely, N.[Noah],
Neural Scene Chronology,
CVPR23(20752-20761)
IEEE DOI 2309
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Côté, G.[Geoffroi], Mannan, F.[Fahim], Thibault, S.[Simon], Lalonde, J.F.[Jean-François], Heide, F.[Felix],
The Differentiable Lens: Compound Lens Search over Glass Surfaces and Materials for Object Detection,
CVPR23(20803-20812)
IEEE DOI 2309
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Kawahara, R.[Ryo], Kuo, M.Y.J.[Meng-Yu Jennifer], Nobuhara, S.[Shohei],
Teleidoscopic Imaging System for Microscale 3D Shape Reconstruction,
CVPR23(20813-20822)
IEEE DOI 2309
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Qiu, J.X.[Jia-Xiong], Jiang, P.T.[Peng-Tao], Zhu, Y.F.[Yi-Fan], Yin, Z.X.[Ze-Xin], Cheng, M.M.[Ming-Ming], Ren, B.[Bo],
Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections,
CVPR23(20823-20833)
IEEE DOI 2309
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Zhang, C.[Congyi], Lin, G.[Guying], Yang, L.[Lei], Li, X.[Xin], Komura, T.[Taku], Schaefer, S.[Scott], Keyser, J.[John], Wang, W.P.[Wen-Ping],
Surface Extraction from Neural Unsigned Distance Fields,
ICCV23(22474-22483)
IEEE DOI 2401
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Wang, Y.M.[Yi-Ming], Han, Q.[Qin], Habermann, M.[Marc], Daniilidis, K.[Kostas], Theobalt, C.[Christian], Liu, L.J.[Ling-Jie],
NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction,
ICCV23(3272-3283)
IEEE DOI Code:
WWW Link. 2401
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Long, X.X.[Xiao-Xiao], Lin, C.[Cheng], Liu, L.J.[Ling-Jie], Liu, Y.[Yuan], Wang, P.[Peng], Theobalt, C.[Christian], Komura, T.[Taku], Wang, W.P.[Wen-Ping],
NeuralUDF: Learning Unsigned Distance Fields for Multi-View Reconstruction of Surfaces with Arbitrary Topologies,
CVPR23(20834-20843)
IEEE DOI 2309
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Dogaru, A.[Andreea], Ardelean, A.T.[Andrei Timotei], Ignatyev, S.[Savva], Zakharov, E.[Egor], Burnaev, E.[Evgeny],
Sphere-Guided Training of Neural Implicit Surfaces,
CVPR23(20844-20853)
IEEE DOI 2309
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Sawdayee, H.[Haim], Vaxman, A.[Amir], Bermano, A.H.[Amit H.],
OReX: Object Reconstruction from Planar Cross-sections Using Neural Fields,
CVPR23(20854-20862)
IEEE DOI 2309
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Hu, V.T.[Vincent Tao], Zhang, D.W.[David W.], Asano, Y.M.[Yuki M.], Burghouts, G.J.[Gertjan J.], Snoek, C.G.M.[Cees G. M.],
Self-Guided Diffusion Models,
CVPR23(18413-18422)
IEEE DOI 2309
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Karnewar, A.[Animesh], Vedaldi, A.[Andrea], Novotny, D.[David], Mitra, N.J.[Niloy J.],
HOLODIFFUSION: Training a 3D Diffusion Model Using 2D Images,
CVPR23(18423-18433)
IEEE DOI 2309
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Qin, Y.M.[Yi-Ming], Zheng, H.[Huangjie], Yao, J.[Jiangchao], Zhou, M.Y.[Ming-Yuan], Zhang, Y.[Ya],
Class-Balancing Diffusion Models,
CVPR23(18434-18443)
IEEE DOI 2309
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Zhang, H.[Han], Feng, R.[Ruili], Yang, Z.[Zhantao], Huang, L.[Lianghua], Liu, Y.[Yu], Zhang, Y.F.[Yi-Fei], Shen, Y.J.[Yu-Jun], Zhao, D.L.[De-Li], Zhou, J.[Jingren], Cheng, F.[Fan],
Dimensionality-Varying Diffusion Process,
CVPR23(14307-14316)
IEEE DOI 2309
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Meng, C.L.[Chen-Lin], Rombach, R.[Robin], Gao, R.Q.[Rui-Qi], Kingma, D.[Diederik], Ermon, S.[Stefano], Ho, J.[Jonathan], Salimans, T.[Tim],
On Distillation of Guided Diffusion Models,
CVPR23(14297-14306)
IEEE DOI 2309
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Go, H.[Hyojun], Lee, Y.[Yunsung], Kim, J.[JinYoung], Lee, S.H.[Seung-Hyun], Jeong, M.[Myeongho], Lee, H.S.[Hyun Seung], Choi, S.[Seungtaek],
Towards Practical Plug-and-Play Diffusion Models,
CVPR23(1962-1971)
IEEE DOI 2309
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Shang, Y.Z.[Yu-Zhang], Yuan, Z.H.[Zhi-Hang], Xie, B.[Bin], Wu, B.Z.[Bing-Zhe], Yan, Y.[Yan],
Post-Training Quantization on Diffusion Models,
CVPR23(1972-1981)
IEEE DOI 2309
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Zhang, G.Q.[Guo-Qiang], Niwa, K.[Kenta], Kleijn, W.B.[W. Bastiaan],
Lookahead Diffusion Probabilistic Models for Refining Mean Estimation,
CVPR23(1421-1429)
IEEE DOI 2309
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Somepalli, G.[Gowthami], Singla, V.[Vasu], Goldblum, M.[Micah], Geiping, J.[Jonas], Goldstein, T.[Tom],
Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models,
CVPR23(6048-6058)
IEEE DOI 2309
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Chung, H.[Hyungjin], Kim, J.[Jeongsol], Kim, S.[Sehui], Ye, J.C.[Jong Chul],
Parallel Diffusion Models of Operator and Image for Blind Inverse Problems,
CVPR23(6059-6069)
IEEE DOI 2309
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Deep Unrolling of Diffusion Process with Morphological Laplacian and its Implementation with SIMD Instructions,
ICIP22(2931-2935)
IEEE DOI 2211
Training, Laplace equations, Program processors, Partial differential equations, Microprocessors, Noise reduction, deep network BibRef

Liu, P.R.[Pei-Rong], Lee, Y.[Yueh], Aylward, S.[Stephen], Niethammer, M.[Marc],
Deep Decomposition for Stochastic Normal-Abnormal Transport,
CVPR22(18769-18779)
IEEE DOI 2210
Tensors, Computational modeling, Stochastic processes, Estimation, Predictive models, Stroke (medical condition), Brain modeling, Medical BibRef

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Joint Manifold Diffusion for Combining Predictions on Decoupled Observations,
CVPR19(7541-7549).
IEEE DOI 2002
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Cappabianco, F.A.M., dos Santos, S.R.B., Ide, J.S., da Silva, P.P.C.E.,
Non-Local Operational Anisotropic Diffusion Filter,
ICIP19(195-199)
IEEE DOI 1910
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CAIP19(II:269-280).
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Yang, F.[Fang], Chai, L.[Li], Chen, D.[Da], Cohen, L.[Laurent],
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Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations,
CVPR17(926-935)
IEEE DOI 1711
Closed-form solutions, Image retrieval, Indexing, Manifolds, Matrix decomposition, Symmetric matrices BibRef

Gu, X.[Xuan], Sidén, P.[Per], Wegmann, B.[Bertil], Eklund, A.[Anders], Villani, M.[Mattias], Knutsson, H.[Hans],
Bayesian Diffusion Tensor Estimation with Spatial Priors,
CAIP17(I: 372-383).
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ICCVG16(109-120).
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ICIP15(1737-1741)
IEEE DOI 1512
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Yagoubi, M.R.[Mohamed Riad], Serir, A.[Amina], Beghdadi, A.[Azeddine],
A new automatic framework for document image enhancement process based on anisotropic diffusion,
ICDAR15(1126-1130)
IEEE DOI 1511
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Kim, H.[Hakran], Kim, S.J.[Seong-Jai],
Impulse-mowing anisotropic diffusion filter for image denoising,
ICIP14(2923-2927)
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Lazy Nonlinear Diffusion Parameter Estimation,
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Donoser, M.[Michael], Bischof, H.[Horst],
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CVPR13(1320-1327)
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ICIP06(1565-1568).
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Facciolo, G., Lecumberry, F., Almansa, A., Pardo, A., Caselles, V.[Vicent], Rouge, B.,
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Laplacian Based Non-Linear Diffusion Filtering,
ICPR06(III: 838-841).
IEEE DOI 0609
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IWCIA06(453-465).
Springer DOI 0606
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Dargent, R., Lavialle, O., Guillon, S., Baylou, P.,
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ICPR02(III: 760-763).
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ICIP02(I: 832-835).
IEEE DOI 0210
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IEEE DOI 0009
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Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Diffusion Process, Survey, Overview .


Last update:Mar 16, 2024 at 20:36:19