8.7.4.1 Cartoon Plus Texture Segmentation, Cartoon-Texture Segmentation

Aubert, G., and Vese, L.A.,
A variational method in image recovery,
NumAnal(34), No. 5, 1997, pp. 1948-1979.
DOI Link
See also Dual Norms and Image Decomposition Models.
See also Structure-Texture Image Decomposition: Modeling, Algorithms, and Parameter Selection.
See also Fast Cartoon + Texture Image Filters.
See also Active Contours without Edges for Vector-Valued Images.
See also Active contours without edges. BibRef 9700

Aujol, J.F.[Jean-François], Aubert, G.[Gilles], Blanc-Féraud, L.[Laure], Chambolle, A.[Antonin],
Image Decomposition into a Bounded Variation Component and an Oscillating Component,
JMIV(22), No. 1, January 2005, pp. 71-88.
Springer DOI 0501
BibRef
Earlier:
Image Decomposition Application to SAR Images,
ScaleSpace03(297-312).
Springer DOI 0310
BibRef
And:
Image decomposition: application to textured images and SAR images,
INRIARR-4704, Janvier 2003.
HTML Version. 0306
BibRef

Aubert, G.[Gilles], Aujol, J.F.[Jean-François],
Modeling very oscillating signals. Application to image processing,
INRIARR-4878, 2003.
HTML Version. BibRef 0300

Aujol, J.F.[Jean-François], Chambolle, A.[Antonin],
Dual Norms and Image Decomposition Models,
IJCV(63), No. 1, June 2005, pp. 85-104.
Springer DOI 0501

See also variational method in image recovery, A. BibRef

Duval, V.[Vincent], Aujol, J.F.[Jean-François], Vese, L.A.[Luminita A.],
Mathematical Modeling of Textures: Application to Color Image Decomposition with a Projected Gradient Algorithm,
JMIV(37), No. 3, July 2010, pp. xx-yy.
Springer DOI 1007
BibRef
Earlier:
Projected Gradient Based Color Image Decomposition,
SSVM09(295-306).
Springer DOI 0906
BibRef

Villeger, E., Aubert, G., Blanc-Feraud, L.,
Image disocclusion using a probabilistic gradient orientation,
ICPR04(II: 52-55).
IEEE DOI 0409
BibRef

Buades, A.[Antoni], Le, T.M.[Triet M.], Morel, J.M.[Jean-Michel], Vese, L.A.[Luminita A.],
Fast Cartoon + Texture Image Filters,
IP(19), No. 8, August 2010, pp. 1978-1986.
IEEE DOI 1008
Decompose image into geometric and texture parts.
See also Oscillating Patterns in Image Processing and Nonlinear Evolution Equations.
See also variational method in image recovery, A. BibRef

Buades, A.[Antoni], Le, T.M.[Triet M.], Morel, J.M.[Jean-Michel], Vese, L.A.[Luminita A.],
Cartoon+Texture Image Decomposition,
IPOL(2011), No. 1, 2011, pp. xx-yy.
DOI Link 1202
Code, Texture. BibRef

Maurel, P.[Pierre], Aujol, J.F.[Jean-François], Peyré, G.[Gabriel],
Locally Parallel Texture Modeling,
SIIMS(4), No. 1, 2011, pp. 413-447.
DOI Link 1106
BibRef
Earlier:
Locally Parallel Textures Modeling with Adapted Hilbert Spaces,
EMMCVPR09(429-442).
Springer DOI 0908
locally parallel textures; image decomposition; inpainting; total variation; curvelets; cartoon image BibRef

Ono, S., Miyata, T., Yamada, I.,
Cartoon-Texture Image Decomposition Using Blockwise Low-Rank Texture Characterization,
IP(23), No. 3, March 2014, pp. 1128-1142.
IEEE DOI 1403
image restoration BibRef

Le Guen, V.[Vincent],
Cartoon + Texture Image Decomposition by the TV-L1 Model,
IPOL(2014), No. 2014, pp. 204-219.
DOI Link 1411
Code, Image Decomposition.
See also Fast Cartoon + Texture Image Filters.
See also Cartoon+Texture Image Decomposition.
See also variational method in image recovery, A. BibRef

Acton, S.T., Mukherjee, D.P., Havlicek, J.P., Bovik, A.C.,
Oriented texture completion by AM-FM reaction-diffusion,
IP(10), No. 6, June 2001, pp. 885-896.
IEEE DOI 0106
BibRef

Nguyen, C.T.[Chuong T.], Havlicek, J.P.[Joseph P.],
Gradient-based texture cartoon decomposition,
Southwest12(85-88).
IEEE DOI 1205
BibRef
Earlier:
Modulation domain texture decomposition,
ICIP10(2741-2744).
IEEE DOI 1009
BibRef
And:
Coherent texture decomposition using AM-FM model,
Southwest10(81-84).
IEEE DOI 1005

See also Modulation Domain Template Tracking. BibRef

Nguyen, C.T.[Chuong T.], Campbell, P.A.[Patrick A.], Havlicek, J.P.[Joseph P.],
FM filters for modulation domain image processing,
ICIP09(3973-3976).
IEEE DOI 0911
BibRef

Kutyniok, G.[Gitta],
Clustered Sparsity and Separation of Cartoon and Texture,
SIIMS(6), No. 2, 2013, pp. 848-874.
DOI Link 1307
Foreground vs background. BibRef

Tiirola, J.,
Image Decompositions Using Spaces of Variable Smoothness and Integrability,
SIIMS(7), No. 3, 2014, pp. 1558-1587.
DOI Link 1410
Into geometrical component and oscillating component. cartoon + texture. BibRef

Szolgay, D.[Dániel], Szirányi, T.[Tamás],
Adaptive Image Decomposition into Cartoon and Texture Parts Optimized by the Orthogonality Criterion,
IP(21), No. 8, August 2012, pp. 3405-3415.
IEEE DOI 1208
BibRef
Earlier:
Orthogonality Based Stopping Condition for Iterative Image Deconvolution Methods,
ACCV10(IV: 321-332).
Springer DOI 1011
BibRef

Ng, M.K., Yuan, X.M.[Xiao-Ming], Zhang, W.X.[Wen-Xing],
Coupled Variational Image Decomposition and Restoration Model for Blurred Cartoon-Plus-Texture Images With Missing Pixels,
IP(22), No. 6, 2013, pp. 2233-2246.
IEEE DOI 1307
augmented Lagrangian method; image deblurring BibRef

Jung, M.[Miyoun], Kang, M.J.[Myung-Joo],
Simultaneous Cartoon and Texture Image Restoration with Higher-Order Regularization,
SIIMS(8), No. 1, 2015, pp. 721-756.
DOI Link 1504
BibRef

Atto, A.M.[Abdourrahmane Mahamane], Mercier, G.[Grégoire],
High order structural image decomposition by using non-linear and non-convex regularizing objectives,
CVIU(138), No. 1, 2015, pp. 38-50.
Elsevier DOI 1506
texture-versus-cartoon decompositions. Non-convex optimization BibRef

Guastella, D.[Davide], Valenti, C.[Cesare],
Cartoon filter via adaptive abstraction,
JVCIR(36), No. 1, 2016, pp. 149-158.
Elsevier DOI 1603
Multiresolution abstraction. Graphics. What info is worth keeping. BibRef

v Buades, A.[Antoni], Lisani, J.L.[Jose-Luis],
Directional Filters for Color Cartoon+Texture Image and Video Decomposition,
JMIV(55), No. 1, May 2016, pp. 125-135.
WWW Link. 1604
BibRef

Buades, A.[Antoni], Lisani, J.L.[Jose-Luis],
Directional Filters for Cartoon + Texture Image Decomposition,
IPOL(6), 2016, pp. 75-88.
DOI Link 1605
Code, Image Decompostiong. BibRef

Duran, J.[Joan], Moeller, M.[Michael], Sbert, C.[Catalina], Cremers, D.[Daniel],
On the Implementation of Collaborative TV Regularization: Application to Cartoon+Texture Decomposition,
IPOL(6), 2016, pp. 27-74.
DOI Link 1604
BibRef

Lu, C., Wang, M.,
Alternating direction method for TGV-TGV* based cartoon-texture image decomposition,
IET-IPR(10), No. 6, 2016, pp. 495-504.
DOI Link 1606
image texture BibRef

Zhang, F., Roysam, B.,
Blind Quality Metric for Multidistortion Images Based on Cartoon and Texture Decomposition,
SPLetters(23), No. 9, September 2016, pp. 1265-1269.
IEEE DOI 1609
edge detection BibRef

Huang, H.[Heyan], Wang, K.[Kang],
Texture-preserving deconvolution via image decomposition,
SIViP(11), No. 7, October 2017, pp. 1189-1196.
WWW Link. 1708
BibRef

Dong, X.[Xuan], Bonev, B.I.[Boyan I.], Li, W.X.[Wei-Xin], Qiu, W.C.[Wei-Chao], Chen, X.J.[Xian-Jie], Yuille, A.L.[Alan L.],
Ground-Truth Data Set and Baseline Evaluations for Base-Detail Separation Algorithms at the Part Level,
CirSysVideo(28), No. 3, March 2018, pp. 802-806.
IEEE DOI 1804
image texture, polynomials, smoothing methods, Pascal Part UCLA, coarse structure, ground-truth data set, part level BibRef

Baek, E.T.[Eu-Tteum], Ho, Y.S.[Yo-Sung],
Edge preserving suppression for depth estimation via comparative variation,
IET-IPR(12), No. 5, May 2018, pp. 629-636.
DOI Link 1804
suppress textures and noise while maintaining meaningful structure. BibRef

Liu, X.W.[Xin-Wu],
A New TGV-Gabor Model for Cartoon-Texture Image Decomposition,
SPLetters(25), No. 8, August 2018, pp. 1221-1225.
IEEE DOI 1808
Gabor filters, image texture, variational techniques, wavelet transforms, cartoon-texture image decomposition, total generalized variation (TGV) BibRef

Belyaev, A., Fayolle, P.,
Adaptive Curvature-Guided Image Filtering for Structure + Texture Image Decomposition,
IP(27), No. 10, October 2018, pp. 5192-5203.
IEEE DOI 1808
Level set, Image decomposition, TV, Smoothing methods, Task analysis, Minimization, Image decomposition, texture suppression, adaptive exponent BibRef

Chen, M.M.[Ming-Ming], Tang, C.[Chen], Zhang, J.J.[Jun-Jiang], Lei, Z.K.[Zhen-Kun],
Image decomposition and denoising based on Shearlet and nonlocal data fidelity term,
SIViP(12), No. 7, October 2018, pp. 1411-1418.
Springer DOI 1809
Cartoon (Total VAriation space), Texture, and Noise (Shearlet). BibRef

Gao, Y., Yang, X.,
A Cartoon-Texture Approach for JPEG/JPEG 2000 Decompression Based on TGV and Shearlet Transform,
IP(28), No. 3, March 2019, pp. 1356-1365.
IEEE DOI 1812
Transform coding, Transforms, Image coding, Quantization (signal), Convolution, Numerical models, TV, Image reconstruction, infimal convolution BibRef

Sur, F.,
A Non-Local Dual-Domain Approach to Cartoon and Texture Decomposition,
IP(28), No. 4, April 2019, pp. 1882-1894.
IEEE DOI 1901
art, feature extraction, filtering theory, image denoising, image representation, image texture, remote sensing, Fourier domain BibRef

Kim, Y., Ham, B., Do, M.N., Sohn, K.,
Structure-Texture Image Decomposition Using Deep Variational Priors,
IP(28), No. 6, June 2019, pp. 2692-2704.
IEEE DOI 1905
convolutional neural nets, image texture, iterative methods, learning (artificial intelligence), smoothing methods, texture filtering BibRef

Guo, J.S.[Ji-Shan], Rong, Y.[Yi], Gao, Y.S.[Yong-Sheng], Liu, Y.[Ying], Xiong, S.W.[Sheng-Wu],
A Novel Multi-scale Invariant Descriptor Based on Contour and Texture for Shape Recognition,
ACCV18(IV:551-564).
Springer DOI 1906
BibRef

Li, Y.F.[Ya-Feng], Zhao, Q.J.[Qi-Jun], Feng, X.C.[Xiang-Chu], Wang, W.W.[Wei-Wei], Zhang, R.R.[Ren-Rui], Yan, A.[An],
A variational image segmentation method exploring both intensity means and texture patterns,
SP:IC(76), 2019, pp. 214-230.
Elsevier DOI 1906
Image segmentation, Variational model, Intensity means, Texture patterns, Dictionary learning BibRef

Xu, J.L.[Jian-Lou], Hao, Y.[Yan], Li, M.[Min], Zhang, X.B.[Xiao-Bo],
A novel variational model for image decomposition,
SIViP(13), No. 5, July 2019, pp. 967-974.
Springer DOI 1906
BibRef

Zhou, P.C.[Pu-Cheng], Zhang, J.[Jie], Xue, M.[Mogen], Bao, L.[Lei],
Directional relative total variation for structure-texture decomposition,
IET-IPR(13), No. 11, 19 September 2019, pp. 1835-1845.
DOI Link 1909
BibRef

Chen, H.[Huasong], Xu, Z.H.[Zhen-Hua], Feng, Q.S.[Qian-Sheng], Fan, Y.Y.[Yuan-Yuan], Li, Z.H.[Zhen-Hua],
An L0 regularized cartoon-texture decomposition model for restoring images corrupted by blur and impulse noise,
SP:IC(82), 2020, pp. 115762.
Elsevier DOI 2001
L0 sparsity, Cartoon-texture, Image deblurring, Impulse noise removal BibRef

Zhou, F., Chen, Q., Liu, B., Qiu, G.,
Structure and Texture-Aware Image Decomposition via Training a Neural Network,
IP(29), 2020, pp. 3458-3473.
IEEE DOI 2002
Structure-texture decomposition, image layer separation, structure descriptor, texture descriptor BibRef

i Pradhan, J.[Jitesh], Kumar, S.[Sumit], Pal, A.K.[Arup Kumar], Banka, H.[Haider],
Texture and colour region separation based image retrieval using probability annular histogram and weighted similarity matching scheme,
IET-IPR(14), No. 7, 29 May 2020, pp. 1303-1315.
DOI Link 2005
BibRef

Lv, Y.[Yehu],
Structure-texture image decomposition using a new non-local TV-Hilbert model,
IET-IPR(14), No. 11, September 2020, pp. 2525-2531.
DOI Link 2009
BibRef

Xu, R.T.[Ruo-Tao], Xu, Y.[Yong], Quan, Y.H.[Yu-Hui], Ji, H.[Hui],
Cartoon-Texture Image Decomposition using Orientation Characteristics in Patch Recurrence,
SIIMS(13), No. 3, 2020, pp. 1179-1210.
DOI Link 2010
BibRef

Xu, R.T.[Ruo-Tao], Xu, Y.[Yong], Quan, Y.H.[Yu-Hui],
Structure-Texture Image Decomposition Using Discriminative Patch Recurrence,
IP(30), 2021, pp. 1542-1555.
IEEE DOI 2101
Transforms, Image decomposition, TV, Numerical models, Feature extraction, Dictionaries, sparse representation BibRef

Bai, J.[Jian], Feng, X.C.[Xiang-Chu],
Image decomposition and denoising using fractional-order partial differential equations,
IET-IPR(14), No. 14, December 2020, pp. 3471-3480.
DOI Link 2012
BibRef

Zhang, Z.Y.[Zhi-Yuan], He, H.J.[Hong-Jin],
A customized low-rank prior model for structured cartoon-texture image decomposition,
SP:IC(96), 2021, pp. 116308.
Elsevier DOI 2106
Cartoon-texture, Image decomposition, Low-rank, Convex optimization, Image restoration BibRef

Richter, R.[Robin], Thai, D.H.[Duy H.], Huckemann, S.[Stephan],
Generalized Intersection Algorithms with Fixed Points for Image Decomposition Learning,
SIIMS(14), No. 3, 2021, pp. 1273-1305.
DOI Link 2110
From deep nets, proper minimizing functional. BibRef

Gao, N.[Nan], Ren, H.[Hui], Li, J.[Jia], Su, Z.B.[Zhi-Bin],
Disentangled and controllable sketch creation based on disentangling the structure and color enhancement,
IET-IPR(16), No. 1, 2022, pp. 191-206.
DOI Link 2112
BibRef

Dong, Y.S.[Yong-Sheng], Tan, W.[Wei], Tao, D.C.[Da-Cheng], Zheng, L.[Lintao], Li, X.L.[Xue-Long],
CartoonLossGAN: Learning Surface and Coloring of Images for Cartoonization,
IP(31), 2022, pp. 485-498.
IEEE DOI 2112
Training, Generative adversarial networks, Generators, Image color analysis, Training data, cartoonization BibRef

Huska, M.[Martin], Kang, S.H.[Sung H.], Lanza, A.[Alessandro], Morigi, S.[Serena],
A Variational Approach to Additive Image Decomposition into Structure, Harmonic, and Oscillatory Components,
SIIMS(14), No. 4, 2021, pp. 1749-1789.
DOI Link 2112
BibRef

Wang, M.[Mei], Deng, W.H.[Wei-Hong], Liu, C.L.[Cheng-Lin],
Unsupervised Structure-Texture Separation Network for Oracle Character Recognition,
IP(31), 2022, pp. 3137-3150.
IEEE DOI 2205
Character recognition, Bones, Adaptation models, Training, Feature extraction, Writing, Transforms, generative adversarial network BibRef

Wang, M.[Mei], Deng, W.H.[Wei-Hong], Su, S.[Sen],
Oracle character recognition using unsupervised discriminative consistency network,
PR(148), 2024, pp. 110180.
Elsevier DOI 2402
Oracle character recognition, Unsupervised domain adaptation, Self-training, Consistency regularization BibRef

Li, X.F.[Xiao-Fang], Wang, W.W.[Wei-Wei], Feng, X.C.[Xiang-Chu], Qi, T.T.[Ting-Ting],
Cartoon-Texture decomposition with patch-wise decorrelation,
JVCIR(90), 2023, pp. 103726.
Elsevier DOI 2301
Cartoon-Texture decomposition, Patch-wise cosine similarity, Total variation BibRef

Zhong, Y.H.[Yuan-Hong], Zhang, C.X.[Chen-Xu], Li, J.[Jin],
Image Compressed Sensing Reconstruction via Deep Image Prior With Structure-Texture Decomposition,
SPLetters(30), 2023, pp. 85-89.
IEEE DOI 2302
Image reconstruction, Decoding, Convolution, Electronics packaging, Feature extraction, Network architecture, Training, image reconstruction BibRef

Pan, H.[Huan], Wen, Y.W.[You-Wei], Huang, Y.[Ya],
L_0 Gradient-Regularization and Scale Space Representation Model for Cartoon and Texture Decomposition,
IP(33), 2024, pp. 4016-4028.
IEEE DOI 2407
Image edge detection, TV, Smoothing methods, Task analysis, Signal to noise ratio, Minimization, Convolution, Total variation, decomposition BibRef

Kim, D.[Doyeon], Lee, D.[Dongyeun], Joo, D.G.[Dong-Gyu], Kim, J.[Junmo],
Training Cartoonization Network without Cartoon,
ICIP23(3185-3189)
IEEE DOI 2312
BibRef

Ahn, N.[Namhyuk], Kwon, P.[Patrick], Back, J.[Jihye], Hong, K.[Kibeom], Kim, S.[Seungkwon],
Interactive Cartoonization with Controllable Perceptual Factors,
CVPR23(16827-16835)
IEEE DOI 2309
BibRef

Benfenati, A.[Alessandro], Catozzi, A.[Ambra], Franchini, G.[Giorgia], Porta, F.[Federica],
Piece-wise Constant Image Segmentation with a Deep Image Prior Approach,
SSVM23(352-362).
Springer DOI 2307
BibRef

Girometti, L.[Laura], Huska, M.[Martin], Lanza, A.[Alessandro], Morigi, S.[Serena],
Quaternary Image Decomposition with Cross-Correlation-Based Multi-Parameter Selection,
SSVM23(120-133).
Springer DOI 2307
Into piecewise constant, smooth, textured and white noise. BibRef

Men, Y.F.[Yi-Fang], Yao, Y.[Yuan], Cui, M.M.[Miao-Miao], Lian, Z.H.[Zhou-Hui], Xie, X.S.[Xuan-Song], Hua, X.S.[Xian-Sheng],
Unpaired Cartoon Image Synthesis via Gated Cycle Mapping,
CVPR22(3491-3500)
IEEE DOI 2210
Geometry, Codes, Image synthesis, Machine vision, Process control, Training data, Logic gates, Vision applications and systems BibRef

Chochia, P.A.[Pavel A.],
Image Decomposition Based on Region-constrained Smoothing,
IMTA20(103-111).
Springer DOI 2103
BibRef

Wang, X., Yu, J.,
Learning to Cartoonize Using White-Box Cartoon Representations,
CVPR20(8087-8096)
IEEE DOI 2008
Image color analysis, Feature extraction, Image segmentation, Image edge detection, Painting BibRef

Cheng, H.Y.[Hsu-Yung], Yu, C.C.[Chih-Chang],
Learning to Create Cartoon Images from a Very Small Dataset,
ICIP19(4684-4688)
IEEE DOI 1910
Image Creation, Clustering, Convolutional Neural Networks BibRef

Shibata, T.[Takashi], Tanaka, M.[Masayuki], Okutomi, M.[Masatoshi],
Gradient-Domain Image Reconstruction Framework with Intensity-Range and Base-Structure Constraints,
CVPR16(2745-2753)
IEEE DOI 1612
BibRef

Zhao, C.P., Feng, X.C., Wang, W.W., Ouyang, Z.W., Chen, H.Z.,
A new multiplicative noise removal model combining cartoon-texture decomposition method,
ICWAPR16(49-54)
IEEE DOI 1611
Algorithm design and analysis BibRef

Chen, H.Z., Wang, W.W., Zhao, C.P., Huang, H.,
Simultaneous multiphase image segmentation and cartoon-texture decomposition,
ICWAPR16(230-235)
IEEE DOI 1611
Dictionaries BibRef

Toda, M.[Masato], Senzaki, K.[Kenta], Tsukada, M.[Masato],
Image Clarification Method Based on Structure-Texture Decomposition with Texture Refinement,
CIAP15(II:352-362).
Springer DOI 1511
BibRef

Brauer, C.[Christoph], Lorenz, D.[Dirk],
Cartoon-Texture-Noise Decomposition with Transport Norms,
SSVM15(142-153).
Springer DOI 1506
BibRef

Canh, T.N.[Thuong Nguyen], Dinh, K.Q.[Khanh Quoc], Jeon, B.W.[Byeung-Woo],
Multi-scale/multi-resolution Kronecker compressive imaging,
ICIP15(2700-2704)
IEEE DOI 1512
BibRef
Earlier:
Detail-preserving compressive sensing recovery based on cartoon texture image decomposition,
ICIP14(1327-1331)
IEEE DOI 1502
Kronecker compressive sensing. Compressed sensing BibRef

Liu, Q.G.[Qie-Gen], Liu, J.B.[Jian-Bo], Liang, D.[Dong],
Adaptive image decomposition via dictionary learning with stuctural incoherence,
ICIP13(280-284)
IEEE DOI 1402
Algorithm design and analysis cartoon and texture segmentation. BibRef

Patwardhan, K.A., Sapiro, G.,
Automatic image decomposition,
ICIP04(I: 645-648).
IEEE DOI 0505
Decompose into cartoon + texture. BibRef

Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Splines, General Methods, General Papers .