7.10.5 Texture Synthesis

Chapter Contents (Back)
Textures, Synthesis. Texture Synthesis. Synthesis, Texture. Inpainting.
See also Inpainting, Filling Holes, Fixing Problems.

Rosenfeld, A., Lipkin, B.S.,
Texture Synthesis,
PPP70(309-322). BibRef 7000

McCormick, B.H., Jayaramamurthy, S.N.,
Time Series Model for Texture Synthesis,
CIS(3), 1974, pp. 329-343. BibRef 7400

Jayaramamurthy, S.N.,
Texture Discrimination Using Digital Deconvolution Filters,
ICPR80(1184-1186). BibRef 8000

Jayaramamurthy, S.N.,
Multilevel Array Grammars for Generating Texture Scenes,
PRIP79(391-398). BibRef 7900

Yokoyama, R.[Ryuzo], Haralick, R.M.[Robert M.],
Texture Synthesis Using a Growth Model,
CGIP(8), No. 3, December 1978, pp. 369-381.
Elsevier DOI BibRef 7812

Yokoyama, R.[Ryuzo], Haralick, R.M.[Robert M.],
Texture Pattern Image Generation by Regular Markov Chain,
PR(11), No. 4, 1979, pp. 225-233.
Elsevier DOI BibRef 7900

Sahal, D.[Devendra],
SELF: A framework for generation of patterns,
PR(10), No. 5-6, 1978, pp. 397-401.
Elsevier DOI 0309
BibRef

Schachter, B.[Bruce], Ahuja, N.[Narendra],
Random Pattern Generation Processes,
CGIP(10), No. 2, June 1979, pp. 95-114.
Elsevier DOI BibRef 7906

Tou, J.T.[Julius T.],
Pictorial Feature Extraction and Recognition via Image Modeling,
CGIP(12), No. 4, April 1980, pp. 376-406.
Elsevier DOI BibRef 8004

Tou, J.T.[Julius T.],
An Approach to Understanding Geometrical Configurations by Computer,
CIS(9), 1980, pp. 1-13. BibRef 8000

Tou, J.T.[Julius T.],
Computer recognition of design concepts,
ICPR92(II:639-642).
IEEE DOI 9208
Abstract patterns. BibRef

Gagalowicz, A.,
A New Method for Texture Field Synthesis: Some Applications to the Study of Human Vision,
PAMI(3), No. 5, September 1981, pp. 520-533. BibRef 8109

Gagalowicz, A.[André], Ma, S.D.[Song De],
Sequential Synthesis of Natural Textures,
CVGIP(30), No. 3, June 1985, pp. 289-315.
Elsevier DOI BibRef 8506
Earlier:
Synthesis of Natural Textures on 3-D Surfaces,
ICPR84(1209-1212). BibRef

Gagalowicz, A.[André], Ma, S.D.[Song De],
Model Driven Synthesis of Natural Textures for 3-D Scenes,
Computers&Graphics(10), 1986, pp. 161-170. BibRef 8600

Ma, S.D.[Song De], Gagalowicz, A.[André],
Determination of Local Coordinate Systems for Texture Synthesis on 3-D Surfaces,
Computers&Graphics(10), 1986, pp. 171-176. BibRef 8600

Gagalowicz, A.[André],
Texture Modelling Applications,
VC(3), 1987, pp. 186-200. BibRef 8700

Boulanger, P.[Pierre], Gagalowicz, A.[André], Rioux, M.[Marc],
Integration of Synthetic Surface Relief in Range Images,
CVGIP(47), No. 3, September 1989, pp. 361-372.
Elsevier DOI BibRef 8909

Gagalowicz, A., Tournier-Lasserve, C.,
Third Order Model for Non-Homogeneous Natural Textures,
ICPR86(409-411). BibRef 8600

Gagalowicz, A.[André], Ma, S.D.[Song De], Tournier-Lasserve, C.,
Efficient Models for Color Textures,
ICPR86(412-414). BibRef 8600

Charfi, H.[Hatem], Gagalowicz, A.[André], Brun, R.[Rémi],
Determination of Fabric Viscosity Parameters Using Iterative Minimization,
CAIP05(789).
Springer DOI 0509
Simulation of cloth in free fall using trajectory data of real cloth. BibRef

Monne, J., Schmitt, F., Massaloux, D.,
Bidimensional Texture Synthesis by Markov Chains,
CGIP(17), No. 1, September 1981, pp. 1-23.
Elsevier DOI BibRef 8109
Earlier: A2, A3, Only:
Texture Synthesis Using a Bidimensional Markov Model,
PRIP81(593-596). Gray tone senthysis. BibRef

Massaloux, D.,
Stochastic Method for Texture Synthesis,
SP(4), 1982, pp. 336-337. BibRef 8200

Fournier, A., Fussell, D., Carpenter, L.,
Computer Rendering of Stochastic Models,
CACM(25), 1982, pp. 371-384. BibRef 8200

Mandelbrot, B.B.,
Comment on Computer Rendering of Stochastic Models,
CACM(25), 1982, pp. 581-584. BibRef 8200

Kashyap, R.L.,
Analysis and Synthesis of Image Patterns by Spatial Interaction Models,
PPR82(149-186). BibRef 8200

Kashyap, R.L., Lapsa, P.M.,
Image Identification and Segmentation According to Random Field Models,
IVC(1), No. 4, November 1983, pp. 189-195.
Elsevier DOI BibRef 8311

Kashyap, R.L., Lapsa, P.M.,
Synthesis and Estimation of Random Fields Using Long-Correlation Models,
PAMI(6), No. 6, November 1984, pp. 800-809. BibRef 8411

Chellappa, R., Kashyap, R.L.,
Texture Synthesis Using 2-D Noncausal Autoregressive Models,
ASSP(33), February 1985, pp. 194-203. BibRef 8502

Shekar, B., Murty, M.N.[M. Narasimha], Krishna, G.,
A knowledge-based approach to pattern generation,
PR(23), No. 11, 1990, pp. 1299-1306.
Elsevier DOI 0401
BibRef

Orural, L.[Levent],
Generating Connected Textured Fractal Patterns Using Markov Random Fields,
PAMI(13), No. 8, August 1991, pp. 819-825.
IEEE DOI BibRef 9108

Acuna, C.O.[Carmen O.],
Texture Modeling Using Gibbs Distributions,
GMIP(54), No. 3, May 1992, pp. 210-222. BibRef 9205

Acuna, C.O.[Carmen O.],
An application of the bivariate pseudolikelihood to texture synthesis,
ICIP94(III: 431-435).
IEEE DOI 9411
BibRef

Atalay, V., Gelenbe, E., Yalabik, N.,
The Random Neural Network Model for Texture Generation,
PRAI(6), 1992, pp. 131-141. BibRef 9200

Atalay, V., Gelenbe, E.,
Parallel Algorithm for Color Texture Generation Using the Random Neural Network Model,
PRAI(6), 1992, pp. 437-446. BibRef 9200

Teke, A., Atalay, V.,
Texture classification and retrieval using random neural network model,
Southwest04(109-113).
IEEE DOI 0411
BibRef

Sand, F., Dougherty, E.R.,
Asymptotic Normality of the Morphological Pattern-Spectrum Moments and Orthogonal Granulometric Generators,
JVCIR(3), 1992, pp. 203-214. BibRef 9200

Iversen, H., Lonnestad, T.,
An Evaluation of Stochastic Models for Analysis and Synthesis of Gray Scale Texture,
PRL(15), 1994, pp. 575-585. BibRef 9400

Bader, D.A., JaJa, J., Chellappa, R.,
Scalable Data-Parallel Algorithms for Texture Synthesis Using Gibbs Random-Fields,
IP(4), No. 10, October 1995, pp. 1456-1460.
IEEE DOI BibRef 9510
Earlier:
Scalable Data Parallel Algorithms for Texture Synthesis and Compression Using Gibbs Random Fields,
UMIACSUMIACS-TR-93-80, or CS-TR-3123, August 1993. BibRef

Sherif, S., Saleh, B., de Leone, R.,
Binary image synthesis using mixed linear integer programming,
IP(4), No. 9, September 1995, pp. 1252-1257.
IEEE DOI 0402
BibRef

Kaplan, L.M., Kuo, C.C.J.,
An improved method for 2-D self-similar image synthesis,
IP(5), No. 5, May 1996, pp. 754-761.
IEEE DOI 0402
BibRef

Portilla, J., Navarro, R., Nestares, O., Tabernero, A.,
Texture Synthesis-by-Analysis Method Based on a Multiscale Early-Vision Model,
OptEng(35), No. 8, August 1996, pp. 2403-2417. 9609
BibRef

Margalit, A.,
A Parallel Algorithm to Generate a Markov Random Field Image on a SIMD Hypercube Machine,
PRL(9), 1989, pp. 263-278. BibRef 8900

Tugnait, J.K.,
Estimation of Linear Parametric Models of Non-Gaussian Discrete Random Fields with Application to Texture Synthesis,
IP(3), No. 2, March 1994, pp. 109-127.
IEEE DOI BibRef 9403

Dai, M.L.[Min-Lu], Ozawa, K.[Kazumasa],
Texture Synthesis by L-Systems,
IVC(15), No. 3, March 1997, pp. 197-204.
Elsevier DOI 9704
BibRef

Dai, M.L.[Min-Lu], Ozawa, K.[Kazumasa],
Simulation of Worn-Out Cloth Textures by Doubly Stochastic L-Systems,
IVC(16), No. 5, April 27 1998, pp. 363-371.
Elsevier DOI 9805
BibRef

Dominguez, M., Torres, L.,
Analysis and Synthesis of Textures Through the Inference of Boolean Functions,
SP(59), No. 1, May 1997, pp. 1-16. 9708
BibRef

Kugler, A.,
High-Performance Texture Decompression Hardware,
VC(13), No. 2, 1997, pp. 51-63. 9705
BibRef

Kourgli, A.[Assia], Belhadj-Aissa, A.[Aichouche],
Structural Approach to the Generation of Textured Images,
JRS(18), No. 17, November 20 1997, pp. 3611-3627. 9712
BibRef

Kourgli, A.[Assia], Belhadj-Aissa, A.[Aichouche], Bouchemakh, L.[Lynda],
Optimizing Texture Primitives Description Based on Variography and Mathematical Morphology,
ICIAR04(I: 866-873).
Springer DOI 0409
BibRef

Paget, R., Longstaff, I.D.,
Texture Synthesis via a Noncausal Nonparametric Multiscale Markov Random Field,
IP(7), No. 6, June 1998, pp. 925-931.
IEEE DOI 9806
BibRef

Paget, R.[Rupert], Longstaff, I.D.[I. Dennis],
Texture Synthesis and Unsupervised Recognition with a Nonparametric Multiscale Markov Random Field Model,
ICPR98(Vol II: 1068-1070).
IEEE DOI 9808
BibRef

Rolland, J.P., Goon, A.A., Yu, L.Y.,
Synthesis of Textured Complex Backgrounds,
OptEng(37), No. 7, July 1998, pp. 2055-2063. 9808
BibRef

Decker, L., Jeulin, D.,
Random Texture Simulation By Multispecies Lattice-Gas Models,
JEI(6), No. 1, January 1997, pp. 78-93. 9807
BibRef

Jeulin, D.[Dominique],
Random tessellations generated by Boolean random functions,
PRL(47), No. 1, 2014, pp. 139-146.
Elsevier DOI 1408
BibRef
Earlier:
Random Tessellations and Boolean Random Functions,
ISMM13(25-36).
Springer DOI 1305
Voronoi tessellation BibRef

Hsu, T.I., Wilson, R.,
A Two-component Model of Texture for Analysis and Synthesis,
IP(7), No. 10, October 1998, pp. 1466-1476.
IEEE DOI BibRef 9810

Jacovitti, G., Neri, A., Scarano, G.,
Texture Synthesis-by-analysis with Hard-limited Gaussian Processes,
IP(7), No. 11, November 1998, pp. 1615-1621.
IEEE DOI BibRef 9811
Earlier:
Texture synthesis with Bussgang techniques,
ICIP95(III: 644-647).
IEEE DOI 9510
BibRef

Eom, K.B.,
2-D Moving Average Models for Texture Synthesis and Analysis,
IP(7), No. 12, December 1998, pp. 1741-1746.
IEEE DOI 9812
BibRef

Sivakumar, K.[Krishnamoorthy], Goutsias, J.[John],
Morphologically Constrained GRFs: Applications to Texture Synthesis and Analysis,
PAMI(21), No. 2, February 1999, pp. 99-113.
IEEE DOI BibRef 9902

Sivakumar, J., Goutsias, J.,
MAP estimation of a class of morphologically constrained Gibbs random fields,
ICIP98(II: 74-78).
IEEE DOI 9810
BibRef
Earlier:
Morphologically Constrained Gibbs Random Fields,
ICIP97(II: 851-854).
IEEE DOI BibRef

Davidson, J.L., Cressie, N.[Noel], Hua, X.,
Texture synthesis and pattern recognition for partially ordered Markov models,
PR(32), No. 9, September 1999, pp. 1475-1505.
Elsevier DOI BibRef 9909

Davidson, J.L., Talukder, A., Cressie, N.,
Texture analysis using partially ordered Markov models,
ICIP94(III: 402-406).
IEEE DOI 9411
BibRef

Moon, J.H., Kweon, J.H., Kim, H.K.,
Boundary Block-Merging (BBM) Technique for Efficient Texture Coding of Arbitrarily Shaped Object,
CirSysVideo(9), No. 1, February 1999, pp. 35.
IEEE Top Reference. BibRef 9902

Aubert, A.[Antoine], Jeulin, D.[Dominique],
Estimation of the influence of second- and third-order moments on random sets reconstructions,
PR(33), No. 6, June 2000, pp. 1083-1104.
Elsevier DOI 0004
BibRef

Nishino, K.[Ko], Sato, Y.[Yoichi], Ikeuchi, K.[Katsushi],
Eigen-Texture Method: Appearance Compression and Synthesis Based on a 3D Model,
PAMI(23), No. 11, November 2001, pp. 1257-1265.
IEEE DOI 0112
BibRef
And: MfR01(Chapter II-5). BibRef
Earlier:
Eigen-Texture Method: Appearance Compression based on 3D Model,
CVPR99(I: 618-624).
IEEE DOI BibRef
Earlier:
Appearance Compression and Synthesis based on 3D Model for Mixed Reality,
ICCV99(38-45).
IEEE DOI Generating virtual images with minimal representation of the texture. BibRef

Coughlan, J.M.[James M.], Yuille, A.L.[Alan L.],
Algorithms from statistical physics for generative models of images,
IVC(21), No. 1, January 2003, pp. 29-36.
Elsevier DOI 0301
BibRef

Brettle, D.S., Berry, E., Smith, M.A.,
Synthesis of texture from clinical images,
IVC(21), No. 5, 2003, pp. 433-445.
Elsevier DOI 0304
BibRef

Vese, L.A.[Luminita A.], Osher, S.J.[Stanley J.],
Modeling Textures with Total Variation Minimization and Oscillating Patterns in Image Processing,
SIAM_JSC(19), No. 1, 2003, pp. 553-572.
DOI Link BibRef 0300

Vese, L.A.[Luminita A.], Osher, S.J.[Stanley J.],
Image Denoising and Decomposition with Total Variation Minimization and Oscillatory Functions,
JMIV(20), No. 1-2, January-March 2004, pp. 7-18.
DOI Link 0403
BibRef

Osher, S.J., Sole, A., Vese, L.A.,
Image decomposition, image restoration, and texture modeling using total variation minimization and the H-1 norm,
ICIP03(I: 689-692).
IEEE DOI 0312
BibRef

Le, T.M.[Triet M.], Lieu, L.H.[Linh H.], Vese, L.A.[Luminita A.],
(phi,phi*) Image Decomposition Models and Minimization Algorithms,
JMIV(33), No. 2, February 2009, pp. xx-yy.
Springer DOI 0903
BibRef

Kim, Y.H.[Yun-Ho], Garnett, J.[John], Vese, L.A.[Luminita A.],
Image Restoration Using One-Dimensional Sobolev Norm Profiles of Noise and Texture,
SIIMS(7), No. 1, 2014, pp. 366-390.
DOI Link 1404
BibRef
Earlier:
A convex minimization model in image restoration via one-dimensional Sobolev norm profiles,
ICIP11(693-696).
IEEE DOI 1201
BibRef

Jung, M.Y.[Mi-Youn], Resmerita, E.[Elena], Vese, L.A.[Luminita A.],
Dual Norm Based Iterative Methods for Image Restoration,
JMIV(44), No. 2, October 2012, pp. 128-149.
WWW Link. 1206
BibRef
Earlier:
An Iterative Method with General Convex Fidelity Term for Image Restoration,
ECCV10(I: 185-199).
Springer DOI 1009
BibRef

Wang, Y.Z.[Yi-Zhou], Zhu, S.C.[Song-Chun],
Analysis and Synthesis of Textured Motion: Particles and Waves,
PAMI(26), No. 10, October 2004, pp. 1348-1363.
IEEE Abstract. 0409
BibRef
Earlier:
A Generative Method for Textured Motion: Analysis and Synthesis,
ECCV02(I: 583 ff.).
Springer DOI 0205
Photometric model: image is a linear combination of bases. Geometric model: group spatially adjacent tokens. Dynamic model: characterize the motion. BibRef

Yin, W.T.[Wo-Tao], Goldfarb, D.[Donald], Osher, S.J.[Stanley J.],
A comparison of three total variation based texture extraction models,
JVCIR(18), No. 3, June 2007, pp. 240-252.
Elsevier DOI 0711
Image decomposition; Texture extraction; Feature selection; Total variation; Variational imaging; Second-order cone programming; Interior-point method BibRef

Pei, S.C., Zeng, Y.C., Chang, C.H.,
Virtual Restoration of Ancient Chinese Paintings Using Color Contrast Enhancement and Lacuna Texture Synthesis,
IP(13), No. 3, March 2004, pp. 416-429.
IEEE DOI 0404
BibRef

Pei, S.C., Chiu, Y.,
Background Adjustment and Saturation Enhancement in Ancient Chinese Paintings,
IP(15), No. 10, October 2006, pp. 3230-3234.
IEEE DOI 0609
BibRef

Singh, J.[Jasvinder], Dana, K.J.[Kristin J.],
Clustering and blending for texture synthesis,
PRL(25), No. 6, 19 April 2004, pp. 619-629.
Elsevier DOI 0405
BibRef

Campbell, N.W.[Neill W.], Dalton, C.J.[Colin J.], Gibson, D.P.[David P.], Oziem, D.[David], Thomas, B.T.[Barry T.],
Practical Generation of Video Textures using the Auto-Regressive Process,
IVC(22), No. 10, 1 September 2004, pp. 819-827.
Elsevier DOI 0409
BibRef
Earlier: A1, A2, A3, A5 only: BMVC02(3D and Video). 0208
BibRef

Wu, C.H.[Chang-Hsing], Lai, Y.Y.[Yueh-Yi], Tai, W.K.[Wen-Kai],
A hybrid-based texture synthesis approach,
VC(20), No. 2-3, May 2004, pp. 106-129.
Springer DOI 0405
BibRef

Chen, Y.S.[Yi-Song], Ip, H.H.S.[Horace H.S.],
Texture evolution: 3D texture synthesis from single 2D growable texture pattern,
VC(20), No. 10, December 2004, pp. 650-664.
Springer DOI 0412
BibRef

Peter, H.[Hadrian],
A visualizing application of line integral convolution techniques,
JVCIR(15), No. 4, December 2004, pp. 548-564.
Elsevier DOI 0711
texture synthesis technique for visualizing vector data. BibRef

Dong, J.Y.[Jun-Yu], Chantler, M.J.[Mike J.],
Capture and Synthesis of 3D Surface Texture,
IJCV(62), No. 1-2, April-May 2005, pp. 177-194.
DOI Link 0411
BibRef
Earlier: Texture02(41-46). 0207
BibRef

Dong, X.H.[Xing-Hui], Dong, J.Y.[Jun-Yu], Chantler, M.J.[Mike J.],
Perceptual Texture Similarity Estimation: An Evaluation of Computational Features,
PAMI(43), No. 7, July 2021, pp. 2429-2448.
IEEE DOI 2106
Task analysis, Observers, Feature Computational, extraction modeling, Convolutional neural networks, texture similarity BibRef

Shi, Z., Feng, Z.,
A New Array Pattern Synthesis Algorithm Using the Two-Step Least-Squares Method,
SPLetters(12), No. 3, March 2005, pp. 250-253.
IEEE Abstract. 0501
BibRef

Schretter, C.[Colas],
A Brush Tool for Interactive Texture Synthesis,
GVIP(05), No. V6, 2005, pp. 55-60
HTML Version. BibRef 0500

Charalampidis, D.,
Texture Synthesis: Textons Revisited,
IP(15), No. 3, March 2006, pp. 777-787.
IEEE DOI 0604
BibRef

Li, H.L.[Hong-Liang], Liu, G.Z.[Gui-Zhong], Zhang, Z.W.[Zhong-Wei],
A New Texture Generation Method Based on Pseudo-DCT Coefficients,
IP(15), No. 5, May 2006, pp. 1300-1312.
IEEE DOI 0605
BibRef

Ruello, G., Blanco-Sanchez, P., Iodice, A., Mallorqui, J.J., Riccio, D., Broquetas, A., Franceschetti, G.,
Synthesis, Construction, and Validation of a Fractal Surface,
GeoRS(44), No. 6, June 2006, pp. 1403-1412.
IEEE DOI 0606
BibRef

Wu, F.[Fei], Zhang, C.S.[Chang-Shui], He, J.R.[Jing-Rui],
An evolutionary system for near-regular texture synthesis,
PR(40), No. 8, August 2007, pp. 2271-2282.
Elsevier DOI 0704
Near-regular texture; Texture synthesis; Texture system; Evolutionary system; Unit pattern BibRef

Costantini, R.[Roberto], Sbaiz, L.[Luciano], Süsstrunk, S.[Sabine],
Higher Order SVD Analysis for Dynamic Texture Synthesis,
IP(17), No. 1, January 2008, pp. 42-52.
IEEE DOI 0712
BibRef
Earlier:
Dynamic Texture Analysis and Synthesis Using Tensor Decomposition,
ISVC06(II: 245-254).
Springer DOI 0611
BibRef
Earlier:
Dynamic Texture Synthesis: Compact Models Based on Luminance-Chrominance Color Representation,
ICIP06(2085-2088).
IEEE DOI 0610
BibRef

Wickramanayake, D.S., Edirisinghe, E.A., Bez, H.E.,
Transform domain texture synthesis,
SP:IC(23), No. 1, January 2008, pp. 1-13.
Elsevier DOI 0801
Texture synthesis; Image quilting; Multi-resolution; Wavelet transforms BibRef

Bao, P.[Paul], Ma, X.H.[Xiao-Hu], Siu, W.C.[Wan-Chi],
Real-time Seamless Texture Synthesis Based On Patch Quantization Clustering,
IJIG(6), No. 3, July 2006, pp. 475-495. 0607
BibRef

Dong, W.M.[Wei-Ming], Zhou, N.[Ning], Paul, J.C.[Jean-Claude],
Perspective-aware texture analysis and synthesis,
VC(24), No. 7-9, July 2008, pp. xx-yy.
Springer DOI 0804
BibRef

Lai, L.Y.[Liu-Yuan], Hwang, W.L.[Wen-Liang], Sreedevi, P.[Paruvelli],
Performance evaluation of a novel sampling-based texture synthesis technique using different sized patches,
SIViP(2), No. 3, September 2008, pp. xx-yy.
Springer DOI 0804
BibRef

Sreedevi, P.[Paruvelli], Hwang, W.L.[Wen-Liang], Lei, S.,
An Examplar-Based Approach for Texture Compaction Synthesis and Retrieval,
IP(19), No. 5, May 2010, pp. 1307-1318.
IEEE DOI 1004
BibRef

Peyré, G.[Gabriel],
Manifold models for signals and images,
CVIU(113), No. 2, February 2009, pp. 249-260.
Elsevier DOI 0901
Signal processing; Image modeling; Texture; Manifold BibRef

Peyre, G.[Gabriel],
Texture Synthesis with Grouplets,
PAMI(32), No. 4, April 2010, pp. 733-746.
IEEE DOI 1003
BibRef
Earlier:
Texture Synthesis and Modification with a Patch-Valued Wavelet Transform,
SSVM07(640-651).
Springer DOI 0705
Synthesize and in-paint textures. Geometric method. BibRef

Dong, W.M.[Wei-Ming], Paul, J.C.[Jean-Claude],
Review on Recent Patents in Texture Synthesis,
RPCS(2), No. 2, June 2009, pp. 111-115.
WWW Link. Survey, Texture Synthesis. 1001
BibRef

Sinha, A.[Arnab], Gupta, S.[Sumana],
A Fast Nonparametric Noncausal MRF-Based Texture Synthesis Scheme Using a Novel FKDE Algorithm,
IP(19), No. 3, March 2010, pp. 561-572.
IEEE DOI 1003
BibRef

Sinha, A.[Arnab], KKV, A.K.[Ajay Kumar], Gupta, S.[Sumana],
Parallelogrammic neighborhood (PN) system for nonparametric MRF based texture synthesis,
ICIP09(1345-1348).
IEEE DOI 0911
BibRef

Sarkar, S., Healey, G.,
Hyperspectral Texture Synthesis Using Histogram and Power Spectral Density Matching,
GeoRS(48), No. 5, May 2010, pp. 2261-2270.
IEEE DOI 1006
BibRef

Galerne, B.[Bruno], Gousseau, Y.[Yann], Morel, J.M.[Jean-Michel],
Random Phase Textures: Theory and Synthesis,
IP(20), No. 1, January 2011, pp. 257-267.
IEEE DOI 1101
BibRef

Galerne, B.[Bruno], Gousseau, Y.[Yann], Morel, J.M.[Jean-Michel],
Micro-Texture Synthesis by Phase Randomization,
IPOL(2011), No. 1, 2011, pp. xx-yy.
DOI Link 1202
Code, Texture Synthesis. BibRef

Gui, Y.[Yan], Ma, L.Z.[Li-Zhuang],
Periodic pattern of texture analysis and synthesis based on texels distribution,
VC(26), No. 6-8, June 2010, pp. 951-964.
WWW Link. 1101
BibRef

Bartakke, P.P., Vaidya, S.A., Sutaone, M.S.,
Refining structural texture synthesis approach,
IET-IPR(5), No. 2, April 2011, pp. 184-189.
DOI Link 1103
BibRef

Oh, B.T.[Byung Tae], Su, Y.P.[Ye-Ping], Segall, C.A.[C. Andrew], Kuo, C.C.J.[C.C. Jay],
Synthesis-Based Texture Video Coding with Side Information,
CirSysVideo(21), No. 5, May 2011, pp. 647-659.
IEEE DOI 1105
BibRef
Earlier:
Synthesis-Based Texture Coding for Video Compression with Side Information,
ICIP08(1628-1631).
IEEE DOI 0810
BibRef

Damkat, C.[Chris],
Single image super-resolution using self-examples and texture synthesis,
SIViP(5), No. 3, September 2011, pp. 343-352.
WWW Link. 1109
BibRef

Turkan, M.[Mehmet], Guillemot, C.[Christine],
Image Prediction Based on Neighbor-Embedding Methods,
IP(21), No. 4, April 2012, pp. 1885-1898.
IEEE DOI 1204
BibRef
Earlier:
Online dictionaries for image prediction,
ICIP11(293-296).
IEEE DOI 1201
BibRef
Earlier:
Image prediction: Template matching vs. sparse approximation,
ICIP10(789-792).
IEEE DOI 1009
BibRef
Earlier:
Sparse approximation with adaptive dictionary for image prediction,
ICIP09(25-28).
IEEE DOI 0911
Spatial texture from sparse approximations. BibRef

Türkan, M.[Mehmet], Guillemot, C.[Christine],
Dictionary learning for image prediction,
JVCIR(24), No. 3, April 2013, pp. 426-437.
Elsevier DOI 1303
BibRef
Earlier:
Locally linear embedding based texture synthesis for image prediction and error concealment,
ICIP12(3009-3012).
IEEE DOI 1302
Dictionary learning; Image prediction; Image compression; Sparse representations; Coding; Block transforms BibRef

Hollemeersch, C.F.J.[Charles-Frederik J.], Pieters, B.[Bart], Lambert, P.[Peter], van de Walle, R.[Rik],
A new approach to combine texture compression and filtering,
VC(27), No. 4, April 2011, pp. 371-385.
WWW Link. 1204
BibRef

Ndjiki-Nya, P.[Patrick], Doshkov, D., Kaprykowsky, H., Zhang, F., Bull, D.[Dave], Wiegand, T.[Thomas],
Perception-oriented video coding based on image analysis and completion: A review,
SP:IC(27), No. 6, July 2012, pp. 579-594.
Elsevier DOI 1205
Texture analysis; Image completion; Texture synthesis; Quality assessment; Rate-distortion optimization; Parametric video compression BibRef

Ndjiki-Nya, P.[Patrick], Bull, D.[Dave], Wiegand, T.[Thomas],
Perception-oriented video coding based on texture analysis and synthesis,
ICIP09(2273-2276).
IEEE DOI 0911
BibRef

Ndjiki-Nya, P.[Patrick], Stüber, C.[Christoph], Wiegand, T.[Thomas],
Texture Synthesis Method for Generic Video Sequences,
ICIP07(III: 397-400).
IEEE DOI 0709
BibRef
Earlier:
A New Generic Texture Synthesis Approach for Enhanced H.264/MPEG4-AVC Video Coding,
VLBV05(121-128).
Springer DOI 0509
BibRef

Ndjiki-Nya, P., Hinz, T., Stuber, C., Wiegand, T.,
A Content-Based Video Coding Approach for Rigid and Non-Rigid Textures,
ICIP06(3169-3172).
IEEE DOI 0610
BibRef

Ndjiki-Nya, P., Makai, B., Blottermann, G., Smolic, A., Schwarz, H., Wiegand, T.,
Improved H.264/AVC coding using texture analysis and synthesis,
ICIP03(III: 849-852).
IEEE DOI 0312
BibRef

Guo, Y.[Yimo], Zhao, G.Y.[Guo-Ying], Pietikäinen, M.[Matti],
Discriminative features for texture description,
PR(45), No. 10, October 2012, pp. 3834-3843.
Elsevier DOI 1206
BibRef
Earlier:
Texture Classification using a Linear Configuration Model based Descriptor,
BMVC11(xx-yy).
HTML Version. 1110
Feature extraction; Feature evaluation and selection; Texture descriptors; Local binary pattern
See also Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions. BibRef

Guo, Y.[Yimo], Zhao, G.Y.[Guo-Ying], Pietikäinen, M.[Matti], Xu, Z.G.[Zheng-Guang],
Descriptor Learning Based on Fisher Separation Criterion for Texture Classification,
ACCV10(III: 185-198).
Springer DOI 1011
BibRef

Lizarraga-Morales, R.A.[Rocio A.], Guo, Y.[Yimo], Zhao, G.Y.[Guo-Ying], Pietikäinen, M.[Matti],
Dynamic Texture Synthesis in Space with a Spatio-temporal Descriptor,
CVLBP12(I:38-49).
Springer DOI 1304
BibRef

Guo, Y.[Yimo], Zhao, G.Y.[Guo-Ying], Chen, J.[Jie], Pietikainen, M.[Matti], Xu, Z.G.[Zheng-Guang],
Dynamic texture synthesis using a spatial temporal descriptor,
ICIP09(2277-2280).
IEEE DOI 0911
BibRef

Guo, Y., Zhao, G., Zhou, Z., Pietikainen, M.,
Video Texture Synthesis With Multi-Frame LBP-TOP and Diffeomorphic Growth Model,
IP(22), No. 10, 2013, pp. 3879-3891.
IEEE DOI 1309
Video texture BibRef

Racape, F.[Fabien], Deforges, O.[Olivier], Babel, M.[Marie], Thoreau, D.,
Spatiotemporal texture synthesis and region-based motion compensation for video compression,
SP:IC(28), No. 9, 2013, pp. 993-1005.
Elsevier DOI 1310
Video coding BibRef

Racape, F.[Fabien], Lefort, S.[Simon], Francois, E.[Edouard], Babel, M.[Marie], Deforges, O.[Olivier],
Adaptive pixel/patch-based synthesis for texture compression,
ICIP11(609-612).
IEEE DOI 1201
BibRef

Aguerrebere, C.[Cecilia], Gousseau, Y.[Yann], Tartavel, G.[Guillaume],
Exemplar-based Texture Synthesis: the Efros-Leung Algorithm,
IPOL(2013), No. 2013, pp. 213-231.
DOI Link 1311

See also Texture Synthesis by Non-parametric Sampling. BibRef

Xia, G.S.[Gui-Song], Ferradans, S.[Sira], Peyré, G.[Gabriel], Aujol, J.F.[Jean-François],
Synthesizing and Mixing Stationary Gaussian Texture Models,
SIIMS(7), No. 1, 2014, pp. 476-508.
DOI Link 1404
BibRef
Earlier: A2, A1, A3, A4:
Static and Dynamic Texture Mixing Using Optimal Transport,
SSVM13(137-148).
Springer DOI 1305

See also Regularized Discrete Optimal Transport. BibRef

Tartavel, G.[Guillaume], Gousseau, Y.[Yann], Peyré, G.[Gabriel],
Variational Texture Synthesis with Sparsity and Spectrum Constraints,
JMIV(52), No. 1, May 2015, pp. 124-144.
Springer DOI 1505
BibRef
Earlier:
Constrained Sparse Texture Synthesis,
SSVM13(186-197).
Springer DOI 1305
BibRef

Tartavel, G.[Guillaume], Peyré, G.[Gabriel], Gousseau, Y.[Yann],
Wasserstein Loss for Image Synthesis and Restoration,
SIIMS(9), No. 4, 2016, pp. 1726-1755.
DOI Link 1612
BibRef

Lizarraga-Morales, R.[Rocio], Guo, Y.[Yimo], Zhao, G.Y.[Guo-Ying], Pietikainen, M.[Matti], Sanchez-Yanez, R.[Raul],
Local spatiotemporal features for dynamic texture synthesis,
JIVP(2014), No. 1, 2014, pp. 17.
DOI Link 1404
BibRef

Shu, Y.[Yue], Qian, Y.L.[Yin-Ling], Sun, H.Q.[Han-Qiu], Chen, Y.Y.[Yan-Yun],
Efficient texture synthesis of aggregate solid material,
VC(30), No. 6-8, June 2014, pp. 877-887.
WWW Link. 1407
BibRef

Briand, T.[Thibaud], Vacher, J.[Jonathan], Galerne, B.[Bruno], Rabin, J.[Julien],
The Heeger & Bergen Pyramid Based Texture Synthesis Algorithm,
IPOL(2014), No. 2014, pp. 276-299.
DOI Link 1411

See also Pyramid-Based Texture Analysis/Synthesis.
See also Micro-Texture Synthesis by Phase Randomization. BibRef

Hsu, C.C.[Chih-Chung], Kang, L.W.[Li-Wei], Lin, C.W.[Chia-Wen],
Temporally Coherent Superresolution of Textured Video via Dynamic Texture Synthesis,
IP(24), No. 3, March 2015, pp. 919-931.
IEEE DOI 1502
image resolution BibRef

Akl, A.[Adib], Yaacoub, C.[Charles], Donias, M.[Marc], da Costa, J.P.[Jean-Pierre], Germain, C.[Christian],
Texture Synthesis Using the Structure Tensor,
IP(24), No. 11, November 2015, pp. 4082-4095.
IEEE DOI 1509
BibRef
Earlier:
Structure tensor based synthesis of directional textures for virtual material design,
ICIP14(4867-4871)
IEEE DOI 1502
image texture. Carbon BibRef

Akl, A.[Adib], Yaacoub, C.[Charles], Donias, M.[Marc], da Costa, J.P.[Jean-Pierre], Germain, C.[Christian],
Synthesis of arbitrary-shaped textures constrained by the structure tensor field,
SIViP(12), No. 1, January 2018, pp. 41-49.
Springer DOI 1801
BibRef

Akl, A., Iskandar, J.,
Second-moment matrix adaptation for local orientation estimation,
WSSIP16(1-4)
IEEE DOI 1608
Gaussian processes BibRef

Alvarez, L.[Luis], Gousseau, Y.[Yann], Morel, J.M.[Jean-Michel], Salgado, A.[Agustín],
Exploring the Space of Abstract Textures by Principles and Random Sampling,
JMIV(53), No. 3, November 2015, pp. 332-345.
Springer DOI 1511
Exemplar based synthesis. BibRef

Hao, C.[Chuanyan], Chen, Y.[Yadang], Wu, W.[Wen], Wu, E.[Enhua],
An iterated randomized search algorithm for large-scale texture synthesis and manipulations,
VC(31), No. 11, November 2015, pp. 1447-1458.
WWW Link. 1512
BibRef

Xu, J.[Jiayi], Mao, X.Y.[Xiao-Yang], Jin, X.G.[Xiao-Gang], Jaffer, A.[Aubrey], Lu, S.F.[Shu-Fang], Li, L.[Li], Toyoura, M.[Masahiro],
Hidden message in a deformation-based texture,
VC(31), No. 12, December 2015, pp. 1653-1669.
Springer DOI 1512
Generation of the marbling texture from the hidden message. BibRef

Wu, F.Z.[Fu-Zhang], Dong, W.M.[Wei-Ming], Kong, Y.[Yan], Mei, X.[Xing], Yan, D.M.[Dong-Ming], Zhang, X.P.[Xiao-Peng], Paul, J.C.[Jean-Claude],
Feature-aware natural texture synthesis,
VC(32), No. 1, January 2016, pp. 43-55.
Springer DOI 1602
BibRef

Kita, N.[Naoki], Miyata, K.[Kazunori],
Multi-class anisotropic blue noise sampling for discrete element pattern generation,
VC(32), No. 6-8, June 2016, pp. 1035-1044.
Springer DOI 1608
BibRef

Raad, L.[Lara], Desolneux, A.[Agnès], Morel, J.M.[Jean-Michel],
A Conditional Multiscale Locally Gaussian Texture Synthesis Algorithm,
JMIV(56), No. 2, October 2016, pp. 260-279.
WWW Link. 1609
BibRef
Earlier:
Conditional Gaussian Models for Texture Synthesis,
SSVM15(474-485).
Springer DOI 1506
BibRef
And:
Multiscale Exemplar Based Texture Synthesis by Locally Gaussian Models,
CIARP15(435-443).
Springer DOI 1511
BibRef
Earlier:
Locally Gaussian exemplar based texture synthesis,
ICIP14(4667-4671)
IEEE DOI 1502
Biological system modeling BibRef

You, X., Guo, W., Yu, S., Li, K., Príncipe, J.C., Tao, D.,
Kernel Learning for Dynamic Texture Synthesis,
IP(25), No. 10, October 2016, pp. 4782-4795.
IEEE DOI 1610
least mean squares methods BibRef

Raad, L.[Lara], Galerne, B.[Bruno],
Efros and Freeman Image Quilting Algorithm for Texture Synthesis,
IPOL(7), 2017, pp. 1-22.
DOI Link 1702
Code, Texture Synthesis.
See also Image Quilting for Texture Synthesis and Transfer. BibRef

El Gheche, M., Aujol, J.F., Berthoumieu, Y., Deledalle, C.A.,
Texture Reconstruction Guided by a High-Resolution Patch,
IP(26), No. 2, February 2017, pp. 549-560.
IEEE DOI 1702
concave programming BibRef

Gheche, M.E., Aujol, J.F., Berthoumieu, Y., Deledalle, C.A., Fablet, R.,
Texture synthesis guided by a low-resolution image,
IVMSP16(1-5)
IEEE DOI 1608
Context BibRef

Kang, H.[Hyeong_Yeop], Han, J.H.[Jung-Hyun],
Feature-preserving procedural texture,
VC(33), No. 6-8, June 2017, pp. 761-768.
Springer DOI 1706
Perserve the input example. BibRef

Ibrahim, A.E.M.[Alaa Eldin M.],
Multiple-process procedural texture,
VC(33), No. 12, December 2017, pp. 1511-1528.
Springer DOI 1710
For rendering. BibRef

Zhou, H.[Hang], Chen, K.J.[Ke-Jiang], Zhang, W.M.[Wei-Ming], Qian, Z.X.[Zhen-Xing], Yu, N.H.[Neng-Hai],
Targeted attack and security enhancement on texture synthesis based steganography,
JVCIR(54), 2018, pp. 100-107.
Elsevier DOI 1806
Texture image, Steganalysis, Texture synthesis, Steganography BibRef

Yoo, S.B.[Seok Bong], Han, M.[Mikyong],
Efficient Texture Creation Based on Random Patches in Database and Guided Filter,
IEICE(E101-D), No. 11, November 2018, pp. 2840-2843.
WWW Link. 1811
BibRef

Akl, A.[Adib], Yaacoub, C.[Charles], Donias, M.[Marc], da Costa, J.P.[Jean-Pierre], Germain, C.[Christian],
A survey of exemplar-based texture synthesis methods,
CVIU(172), 2018, pp. 12-24.
Elsevier DOI 1812
BibRef
Earlier:
Two-Stage volumetric texture synthesis based on structural information,
IPTA17(1-6)
IEEE DOI 1804
Non-parametric synthesis, Exemplar, Synthetic texture, Objective analysis, Parametric synthesis, Regular patterns. computational geometry, image texture, 2D structure/texture synthesis algorithm, Volumetric Texture BibRef

Yang, S.[Shuai], Liu, J.Y.[Jia-Ying], Lian, Z.H.[Zhou-Hui], Guo, Z.M.[Zong-Ming],
Text effects transfer via distribution-aware texture synthesis,
CVIU(174), 2018, pp. 43-56.
Elsevier DOI 1812
Text effects, Texture synthesis, Spatial distribution, Multi-scale, Style transfer BibRef

Galerne, B., Leclaire, A., Rabin, J.,
A Texture Synthesis Model Based on Semi-Discrete Optimal Transport in Patch Space,
SIIMS(11), No. 4, 2018, pp. 2456-2493.
DOI Link 1901
BibRef

Yang, F., Xia, G., Dai, D., Zhang, L.,
Learning the Synthesizability of Dynamic Texture Samples,
IP(28), No. 5, May 2019, pp. 2502-2517.
IEEE DOI 1903
feature extraction, image classification, image representation, image texture, learning (artificial intelligence), shape cooccurrence patterns BibRef

Li, J.[Jie], Xiang, Y.[Yong], Hou, J.Y.[Jing-Yu], Xu, D.[Dan],
Non-Local Texture Optimization With Wasserstein Regularization Under Convolutional Neural Network,
MultMed(21), No. 6, June 2019, pp. 1437-1449.
IEEE DOI 1906
Example based texture synthesis. Optimization, Task analysis, Image color analysis, Image generation, Convolutional neural networks, Correlation, convolution neural network BibRef

Cai, X.X.[Xiu-Xia], Song, B.[Bin], Fang, Z.Q.[Zhi-Qian],
Exemplar based regular texture synthesis using LSTM,
PRL(128), 2019, pp. 226-230.
Elsevier DOI 1912
Deep learning, Texture synthesis, Exemplar, LSTM BibRef

Jakab, M.[Marek], Hudec, L.[Lukas], Benesova, W.[Wanda],
Partial disentanglement of hierarchical variational auto-encoder for texture synthesis,
IET-CV(14), No. 8, December 2020, pp. 564-574.
DOI Link 2012
BibRef

Xie, J., Zhu, S.C., Wu, Y.N.,
Learning Energy-Based Spatial-Temporal Generative ConvNets for Dynamic Patterns,
PAMI(43), No. 2, February 2021, pp. 516-531.
IEEE DOI 2101
BibRef
Earlier:
Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet,
CVPR17(1061-1069)
IEEE DOI 1711
Data models, Heuristic algorithms, Solid modeling, Generators, Video sequences, Dynamics, spatial-temporal ConvNets. Algorithm design and analysis, Data models, Heuristic algorithms, Image sequences, Indexes, Training, Video, sequences BibRef

Lu, Z.L.[Zhao-Lin], Zhang, Z.Y.[Zi-Yan], Wang, Y.[Yi], Dong, L.[Liang], Liang, S.[Song],
SEM Image Quality Assessment Based on Texture Inpainting,
IEICE(E104-D), No. 2, February 2021, pp. 341-345.
WWW Link. 2102
BibRef

Wang, Y.[Yi], Zhou, Y.[Yu], Li, M.Y.[Meng-Yu], Sun, Y.J.[Yag-Jing], Ding, J.[Jicun],
Blind Omnidirectional Image Quality Assessment Based on Semantic Information Replenishment,
JVCIR(103), 2024, pp. 104241.
Elsevier DOI 2409
Blind omnidirectional image quality assessment (BOIQA), Semantic information replenishment, Multi-stream network BibRef

Wang, Z.M., Li, M.H., Xia, G.S.,
Conditional Generative ConvNets for Exemplar-Based Texture Synthesis,
IP(30), 2021, pp. 2461-2475.
IEEE DOI 2102
Adaptation models, Image texture, Heuristic algorithms, generative model, Probabilistic logic, Maximum likelihood estimation, Generators BibRef

Yang, K.[Kun], Liu, D.[Dong], Chen, Z.B.[Zhi-Bo], Wu, F.[Feng], Li, W.P.[Wei-Ping],
Spatiotemporal Generative Adversarial Network-Based Dynamic Texture Synthesis for Surveillance Video Coding,
CirSysVideo(32), No. 1, January 2022, pp. 359-373.
IEEE DOI 2201
Video coding, Surveillance, Dynamics, Spatiotemporal phenomena, Heuristic algorithms, Encoding, Generative adversarial networks, video coding BibRef

Gan, Y.H.[Yan-Hai], Gao, F.[Feng], Dong, J.Y.[Jun-Yu], Chen, S.[Sheng],
Arbitrary-Scale Texture Generation From Coarse-Grained Control,
IP(31), 2022, pp. 5841-5855.
IEEE DOI 2209
Markov random fields, Solid modeling, Task analysis, Bayes methods, Visualization, Real-time systems, Pipelines, Texture synthesis, fully convolutional network BibRef

Zhu, C.[Chen], Xu, J.[Jun], Feng, D.H.[Dong-Hui], Xie, R.[Rong], Song, L.[Li],
Edge-Based Video Compression Texture Synthesis Using Generative Adversarial Network,
CirSysVideo(32), No. 10, October 2022, pp. 7061-7076.
IEEE DOI 2210
Feature extraction, Image edge detection, Encoding, Video compression, Generative adversarial networks, generative adversarial network BibRef

Xie, S.[Shasha], Qian, W.H.[Wen-Hua], Nie, R.[Rencan], Xu, D.[Dan], Cao, J.[Jinde],
GAGCN: Generative adversarial graph convolutional network for non-homogeneous texture extension synthesis,
IET-IPR(17), No. 5, 2023, pp. 1603-1614.
DOI Link 2304
attention mechanism, generative adversarial networks, graph convolutional networks, non-homogeneous texture synthesis BibRef

Chatillon, P.[Pierrick], Gousseau, Y.[Yann], Lefebvre, S.[Sidonie],
A Geometrically Aware Auto-Encoder for Multi-texture Synthesis,
SSVM23(263-275).
Springer DOI 2307
BibRef

Tania, S.[Sheikh], Karmakar, G.[Gour], Teng, S.W.[Shyh Wei], Murshed, M.[Manzur],
A Robust Local Texture Descriptor in the Parametric Space of the Weibull Distribution,
MultMed(25), 2023, pp. 6053-6066.
IEEE DOI 2311
BibRef

Chen, D.Z.Y.[Dave Zhen-Yu], Siddiqui, Y.[Yawar], Lee, H.Y.[Hsin-Ying], Tulyakov, S.[Sergey], Nießner, M.[Matthias],
Text2Tex: Text-driven Texture Synthesis via Diffusion Models,
ICCV23(18512-18522)
IEEE DOI 2401
BibRef

Zuo, Q.[Qi], Song, Y.F.[Ya-Fei], Li, J.[Jianfang], Liu, L.[Lin], Bo, L.[Liefeng],
DG3D: Generating High Quality 3D Textured Shapes by Learning to Discriminate Multi-Modal Diffusion-Renderings,
ICCV23(14529-14538)
IEEE DOI Code:
WWW Link. 2401
BibRef