7.1.4 Smoothing Techniques, Adaptive Smoothing

Chapter Contents (Back)
Smoothing. Adaptive Smoothing. Smoothing, Adaptive. See also Median Filtering. See also Multi-level, Multi-Scale Segmentation and Smoothing Methods.

Golay, M.J.E.,
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Nagao, M.[Makoto], Matsuyama, T.[Takashi],
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Scher, A., Velasco, F.R.D., and Rosenfeld, A.,
Some New Image Smoothing Techniques,
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Wang, D.C.C., Vagnucci, A.H., and Li, C.C.,
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Yang, M.C.K., and Yang, C.C.,
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IEEE DOI BibRef 9106 USC Computer Vision BibRef
Earlier: CVPR89(618-624).
IEEE DOI Adaptive Smoothing. Smoothing that accounts for boundaries by adjusting the weights. It preserves the boundaries and smooths the other areas. The result is regions that are near uniform thus making edge detection trivial. BibRef

Saint-Marc, P., Medioni, G.,
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du Buf, J.M.H., Campbell, T.G.,
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Mitchell, H.B., Mashkit, N.[Nachum],
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Noise smoothing; K-Nearest Neighbour algorithm BibRef

Oliensis, J.,
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Earlier: CVPR92(277-282).
IEEE DOI Smoothing of curves (and images) so that the curve remains the same size. BibRef

Stevenson, R.L., Schweizer, S.M.,
Nonlinear Filtering Structure for Image Smoothing in Mixed-Noise Environments,
JMIV(2), 1992, pp. 137-154. BibRef 9200

Manseur, Z.Z., Wilson, D.C.,
Invertibility of a Special Class of Mean Filter Operators,
JMIV(1), 1992, pp. 137-143. BibRef 9200

Li, Z.N.[Ze-Nian], Hu, G.Z.[Gong-Zhu],
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Meer, P., Park, R.H., Cho, K.J.,
Multiresolution Adaptive Image Smoothing,
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Park, R.H., Meer, P.,
Edge-Preserving Artifact-Free Smoothing with Image Pyramids,
PRL(12), 1991, pp. 467-475. See also Stochastic Image Pyramids. BibRef 9100

Bouman, C., Sauer, K.,
A generalized Gaussian image model for edge-preserving MAP estimation,
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IEEE DOI 0402
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Cheng, Y.Z.,
Mean Shift, Mode Seeking, And Clustering,
PAMI(17), No. 8, August 1995, pp. 790-799.
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Chah, C.L., Katsaggelos, A.K., Sahakian, A.V.,
Linear-quadratic noise-smoothing filters for quantum-limited images,
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IEEE DOI 0402
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Wheeler, M.D., Ikeuchi, K.,
Iterative Smoothed Residuals: A Low-Pass Filter for Smoothing with Controlled Shrinkage,
PAMI(18), No. 3, March 1996, pp. 334-337.
IEEE DOI Filtering. Gaussian smoothing while eliminating noise removes good information. BibRef 9603

Palenichka, R.M., Zinterhof, P.,
A Fast Structure-Adaptive Evaluation of Local Features in Images,
PR(29), No. 9, September 1996, pp. 1495-1505.
WWW Link. Edge-Preserving Smoothing. Change Detection. BibRef 9609

Reddy, K.M., Reddy, V.U.,
Further Results in Spatial Smoothing,
SP(48), No. 3, February 1996, pp. 217-224. BibRef 9602

Lin, H.C., Wang, L.L., Yang, S.N.,
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Gurelli, M.I., Onural, L.,
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He, G.P., Kraus, K.,
A Method to Design Filters for Image Smoothing,
PRL(13), 1992, pp. 509-515. BibRef 9200

Verbeek, P.W., Verwer, B.J.H.,
2-D Adaptive Smoothing by 3-D Distance Transformation,
PRL(9), 1989, pp. 53-65. BibRef 8900

Pitas, I., Venetsanopoulos, A.N.,
Nonlinear Mean Filters in Image Processing,
ASSP(34), 1986, pp. 573-584. See also Edge Detectors Based on Nonlinear Filters. BibRef 8600

Wand, M.P., and Jones, M.C.,
Kernel Smoothing,
Chapman and Hall1995. BibRef 9500

Berman, M.,
Automated Smoothing of Image and Other Regularly Spaced Data,
PAMI(16), No. 5, May 1994, pp. 460-468.
IEEE DOI BibRef 9405

Li, C.H., Lee, C.K.,
Image Smoothing Using Parametric Relaxation,
GMIP(57), No. 2, March 1995, pp. 161-174. BibRef 9503

Lee, Y.G., Hsueh, Y.C.,
Detail-Preserving Smoothing with Morphology and Fuzzy-Reasoning,
JEI(5), No. 3, July 1996, pp. 396-401. 9703
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Concetti, A., Jetto, L.[Leopoldo],
Two-Dimensional Recursive Filtering Algorithm with Edge-Preserving Properties and Reduced Numerical Complexity,
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Jetto, L.[Leopoldo],
Two-Dimensional Adaptive Smoothing Algorithm with Edge Information for Recursive Image Restoration,
ICIP96(I: 809-812).
IEEE DOI BibRef 9600

Crespo, J., Schafer, R.W.,
Edge-Based Adaptive Smoothing,
OptEng(36), No. 11, November 1997, pp. 3081-3092. 9712
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Carmona, R.A., Zhong, S.F.,
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IEEE DOI 9803
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Yezzi, A.J.,
Modified Curvature Motion for Image Smoothing and Enhancement,
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Li, S.Z.[Stan Z.],
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PAMI(20), No. 9, September 1998, pp. 916-932.
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Li, S.Z.,
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Yager, R.R., Filev, D.P.,
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Keratiotis, G., Lind, L.,
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Harteneck, M., McWhirter, J.G., Proudler, I.K., Stewart, R.W.,
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Liu, X.W.[Xiu-Wen], Wang, D.L.L.[De-Liang L.], Ramirez, J.R.[J. Raul],
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Earlier:
Oriented statistical nonlinear smoothing filter,
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IEEE DOI 9810
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Hari, K.V.S., Ramakrishnan, B.V.,
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Belkacem-Boussaid, K., Beghdadi, A.,
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Earlier:
Non linear smoothing method based on the just-noticeable contrast,
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Mandic, D.P., Chambers, J.A.,
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Mandic, D.P., Chambers, J.A.,
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Fessler, J.A., Erdogan, H., Wu, W.B.,
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Kang, D.J.[Dong Joong], Kweon, I.S.[In-So],
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Pfann, E., Stewart, R.W., Hoffman, M.W.,
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Sze, C.J.[Chwen-Jye], Liao, H.Y.M.[Hong-Yuan Mark], Fan, K.C.[Kuo-Chin],
A new image flux conduction model and its application to selective image smoothing,
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Kang, D.J., Roh, K.S.,
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Chen, Y., Barcelos, C.A.Z., Mair, B.A.,
Smoothing and Edge Detection by Time-Varying Coupled Nonlinear Diffusion Equations,
CVIU(82), No. 2, May 2001, pp. 85-100.
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Saha, P.K., Udupa, J.K.,
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Rivera, M.[Mariano], Marroquin, J.L.[Jose L.],
Adaptive Rest Condition Potentials: First and Second Order Edge-Preserving Regularization,
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Adaptive Rest Condition Potentials: Second Order Edge-Preserving Regularization,
ECCV02(I: 113 ff.).
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Earlier:
The Adaptive Rest Condition Spring System: An Edge-preserving Regularization Technique,
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Evans, A.N.,
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Young, N., Evans, A.N.,
Psychovisually tuned attribute operators for pre-processing digital video,
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IEEE Abstract. 0401
In video compression, image pre-processing is used to improve the overall compression performance by removing noise from the image sequence. The compressibility can further be improved by removing other visually redundant information that the human visual system is not sensitive to. BibRef

Oten, R., de Figueiredo, R.J.P.,
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Asif, A.,
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Fashing, M.[Mark], Tomasi, C.[Carlo],
Mean Shift Is a Bound Optimization,
PAMI(27), No. 3, March 2005, pp. 471-474.
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See also Estimation of the Gradient of a Density Function, with Applications in Pattern Recognition, The. See also Mean Shift, Mode Seeking, And Clustering. BibRef

Chen, K.[Ke],
Adaptive Smoothing via Contextual and Local Discontinuities,
PAMI(27), No. 10, October 2005, pp. 1552-1567.
IEEE DOI 0509
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IEEE DOI 0810
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Gao, S.[Song], Bui, T.D.,
Image Segmentation and Selective Smoothing by Using Mumford-Shah Model,
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IEEE DOI 0510
See also Optimal Approximations by Piecewise Smooth Functions and Variational Problems. See also Text Line Segmentation in Handwritten Documents Using Mumford-Shah Model. BibRef

Glasa, J.[Ján],
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Pham, T.Q.[Tuan Q.], van Vliet, L.J.[Lucas J.], Schutte, K.[Klamer],
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JASP(2006), No. Article ID 83268, 2006, pp. 1-12.
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Pham, T.Q.[Tuan Q.], van Vliet, L.J.[Lucas J.],
Normalized Averaging Using Adaptive Applicability Functions with Applications in Image Reconstruction from Sparsely and Randomly Sampled Data,
SCIA03(485-492).
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Tschumperlé, D.[David],
Fast Anisotropic Smoothing of Multi-Valued Images using Curvature-Preserving PDE's,
IJCV(68), No. 1, June 2006, pp. 65-82.
Springer DOI 0605
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Curvature-Preserving Regularization of Multi-valued Images Using PDE's,
ECCV06(II: 295-307).
Springer DOI 0608
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Lic-Based Regularization of Multi-Valued Images,
ICIP05(III: 533-536).
IEEE DOI 0512
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Vaiphasa, C.[Chaichoke],
Consideration of smoothing techniques for hyperspectral remote sensing,
PandRS(60), No. 2, April 2006, pp. 91-99.
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Aggregation; Convolution; Hyperspectral; Optimization; Savitzky-Golay; Moving average; Spectral smoothing filters BibRef

Rakshit, S., Ghosh, A., Shankar, B.U.[B. Uma],
Fast mean filtering technique (FMFT),
PR(40), No. 3, March 2007, pp. 890-897.
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Mean filtering; Spatial averaging; Image smoothing; Noise reduction; Image processing BibRef

Papari, G.[Giuseppe], Petkov, N.[Nicolai], Campisi, P.,
Artistic Edge and Corner Enhancing Smoothing,
IP(16), No. 10, October 2007, pp. 2449-2462.
IEEE DOI 0711
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Papari, G.[Giuseppe], Petkov, N.[Nicolai],
Continuous Glass Patterns for Painterly Rendering,
IP(18), No. 3, March 2009, pp. 652-664.
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Glass Patterns and Artistic Imaging,
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Springer DOI 0901
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Papari, G.[Giuseppe], Petkov, N.[Nicolai],
Reduced Inverse Distance Weighting Interpolation for Painterly Rendering,
CAIP09(509-516).
Springer DOI 0909
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Lee, J.A.[John A.], Geets, X.[Xavier], Grégoire, V.[Vincent], Bol, A.[Anne],
Edge-Preserving Filtering of Images with Low Photon Counts,
PAMI(30), No. 6, June 2008, pp. 1014-1027.
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Apply to Poisson noise. BibRef

Goshtasby, A.[Ardeshir], Satter, M.[Martin],
An adaptive window mechanism for image smoothing,
CVIU(111), No. 2, August 2008, pp. 155-169.
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Image smoothing; Adaptive smoothing; Nonlinear filtering; Median filtering; Mean filtering; Gaussian filtering BibRef

Zhang, F.[Fan], Hancock, E.R.[Edwin R.],
Graph spectral image smoothing using the heat kernel,
PR(41), No. 11, November 2008, pp. 3328-3342.
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Graph Spectral Image Smoothing,
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Earlier:
Tensor MRI Regularization via Graph Diffusion,
BMVC06(II:589).
PDF File. 0609
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And:
Heat Kernel Smoothing of Scalar and Vector Image Data,
ICIP06(1549-1552).
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And:
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SSPR06(83-91).
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Edge Detection and Anisotropic Diffusion for Tensor-Valued Images,
ICIP06(229-232).
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Image smoothing; Heat kernel; Graph Laplacian; Graph spectra; Heat equation; Anisotropic diffusion; Denoising; Low-pass filtering BibRef

Zhang, F.[Fan], Hancock, E.R.[Edwin R.],
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Non-Euclidean images; Orientations; Diffusion tensor MRI; Riemannian weighted mean; Riemannian filtering; Edge detection; Median filter; Gaussian filter; Anisotropic diffusion BibRef

Zhang, F.[Fan], Hancock, E.R.[Edwin R.],
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Yu, L.[Lu], Wang, Q.[Qiao], Wu, L.[Lenan], Xie, J.[Jun],
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Buades, A., Chien, A., Morel, J.M., Osher, S.J.,
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Pizarro, L.[Luis], Mrázek, P.[Pavel], Didas, S.[Stephan], Grewenig, S.[Sven], Weickert, J.[Joachim],
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Gwosdek, P.[Pascal], Grewenig, S.[Sven], Bruhn, A.[Andrés], Weickert, J.[Joachim],
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Pizarro, L.[Luis], Didas, S.[Stephan], Bauer, F.[Frank], Weickert, J.[Joachim],
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Freedman, D.[Daniel], Kisilev, P.[Pavel],
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Humphrey, D., Taubman, D.,
A Filtering Approach to Edge Preserving MAP Estimation of Images,
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Chambolle, A.[Antonin], Levine, S.E.[Stacey E.], Lucier, B.J.[Bradley J.],
An Upwind Finite-Difference Method For Total Variation-Based Image Smoothing,
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Surya Prasath, V.B., Singh, A.[Arindama],
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Mahmoudi, R.[Ramzi], Akil, M.[Mohamed],
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Thevenaz, P., Sage, D., Unser, M.,
Bi-Exponential Edge-Preserving Smoother,
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Wang, Y.[Yan], He, C.J.[Chuan-Jiang],
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Xie, Z.F.[Zhi-Feng], Lau, R.W.H.[Rynson W. H.], Gui, Y.[Yan], Chen, M.G.[Min-Gang], Ma, L.Z.[Li-Zhuang],
A gradient-domain-based edge-preserving sharpen filter,
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Qiu, T., Wang, A., Yu, N., Song, A.,
LLSURE: Local Linear SURE-Based Edge-Preserving Image Filtering,
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Ham, B., Min, D., Sohn, K.,
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Jordan, C., Morillas, S., Sanabria-Codesal, E.,
Colour image smoothing through a soft-switching mechanism using a graph model,
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Su, Z., Luo, X., Deng, Z., Liang, Y., Ji, Z.,
Edge-Preserving Texture Suppression Filter Based on Joint Filtering Schemes,
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Magnier, B.[Baptiste], Montesinos, P.[Philippe], Diep, D.[Daniel],
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Texture Removal Preserving Edges by Diffusion,
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Getreuer, P.[Pascal],
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Nagahara, M., Martin, C.F.,
L^1 Control Theoretic Smoothing Splines,
SPLetters(21), No. 11, November 2014, pp. 1394-1397.
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convex programming BibRef

Einicke, G.A.,
Iterative Frequency-Weighted Filtering and Smoothing Procedures,
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iterative methods BibRef

Min, D.B.[Dong-Bo], Choi, S.[Sunghwan], Lu, J.B.[Jiang-Bo], Ham, B.[Bumsub], Sohn, K.H.[Kwang-Hoon], Do, M.N.,
Fast Global Image Smoothing Based on Weighted Least Squares,
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computer graphics BibRef

Li, Y.[Yu], Min, D.B.[Dong-Bo], Do, M.N.[Minh N.], Lu, J.B.[Jiang-Bo],
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El Ouafdi, A.F.[Ahmed Fouad], Ziou, D.[Djemel],
Global diffusion method for smoothing triangular mesh,
VC(31), No. 3, March 2015, pp. 295-310.
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Demetz, O.[Oliver], Hafner, D.[David], Weickert, J.[Joachim],
Morphologically Invariant Matching of Structures with the Complete Rank Transform,
IJCV(113), No. 3, July 2015, pp. 220-232.
Springer DOI 1506
BibRef
Earlier:
The Complete Rank Transform: A Tool for Accurate and Morphologically Invariant Matching of Structures,
BMVC13(xx-yy).
DOI Link 1402
Local feature, the rank. Deal with large variations in illumination. BibRef

Ardeshiri, T., Ozkan, E., Orguner, U., Gustafsson, F.,
Approximate Bayesian Smoothing with Unknown Process and Measurement Noise Covariances,
SPLetters(22), No. 12, December 2015, pp. 2450-2454.
IEEE DOI 1512
approximation theory BibRef

Cho, S.H.[Sung-Hyun], Lee, S.Y.[Seung-Yong],
Effective Five Directional Partial Derivatives-Based Image Smoothing and a Parallel Structure Design,
IP(25), No. 4, April 2016, pp. 1617-1625.
IEEE DOI 1604
computational complexity BibRef

Huang, Y., Zhang, Y., Li, N., Chambers, J.,
A Robust Gaussian Approximate Fixed-Interval Smoother for Nonlinear Systems With Heavy-Tailed Process and Measurement Noises,
SPLetters(23), No. 4, April 2016, pp. 468-472.
IEEE DOI 1604
Bayes methods BibRef

Sireis, A.[Abduljalil], Kukal, J.[Jaromir],
Nonlinear smoothing of N-dimensional data using successive over-relaxation method,
SIViP(10), No. 8, November 2016, pp. 1497-1502.
WWW Link. 1610
BibRef

Zhang, Z., Jung, C.,
Structure tensor-based WLS filter for adaptive smoothing,
VCIP16(1-4)
IEEE DOI 1701
Adaptive filters BibRef

Kim, Y., Min, D., Ham, B., Sohn, K.,
Fast Domain Decomposition for Global Image Smoothing,
IP(26), No. 8, August 2017, pp. 4079-4091.
IEEE DOI 1707
concave programming, decomposition, image processing, least squares approximations, minimisation, 1D subproblem sequence, L1 smoothing problem, alternating direction method, computational photography application, edge-preserving smoothing, equivalent constrained optimization problem, fast domain decomposition based method, fast linear time solver, global EPS approach, global image smoothing, image processing, majorization-minimization algorithm, multiplier algorithm, nonconvex regularization term, weighted averaging, weighted-least square problem, Acceleration, Histograms, Linear programming, Linear systems, Optimization, Photography, Smoothing methods, Edge-preserving image smoothing, alternating minimization, joint image filtering, majorization-minimization algorithm, weighted-least, squares BibRef


Barron, J.T.[Jonathan T.], Poole, B.[Ben],
The Fast Bilateral Solver,
ECCV16(III: 617-632).
Springer DOI 1611
edge-aware smoothing BibRef

Kim, Y., Oh, C., Sohn, K.,
Edge-aware image smoothing using commute time distances,
ICIP16(3304-3308)
IEEE DOI 1610
Approximation algorithms BibRef

Dang, K., Yang, J., Yuan, J.,
Adaptive Exponential Smoothing for Online Filtering of Pixel Prediction Maps,
ICCV15(3209-3217)
IEEE DOI 1602
Filtering BibRef

Nguyen, R.M.H.[Rang M. H.], Brown, M.S.[Michael S.],
Fast and Effective L_0 Gradient Minimization by Region Fusion,
ICCV15(208-216)
IEEE DOI 1602
Computer vision BibRef

Chan, S.H.[Stanley H.], Zickler, T.E.[Todd E.], Lu, Y.M.[Yue M.],
Understanding symmetric smoothing filters via Gaussian mixtures,
ICIP15(2500-2504)
IEEE DOI 1512
Expectation-Maximization BibRef

Farbman, Z., Fattal, R., Lischinski, D., Szeliski, R.,
Edge-preserving decompositions for multi-scale tone and detail manipulation,
TOG(27), No. 3, 2008, pp. xx-yy. SigGraph Issue. BibRef 0800

Fattal, R.,
Edge-avoiding wavelets and their applications,
TOG(28), No. 3, 2009, pp. xx-yy. SigGraph Issue. BibRef 0900

Fattal, R., Lischinski, D., Werman, M.,
Gradient domain high dynamic range compression,
TOG(21), No. 3, 2002, pp. xx-yy. SigGraph Issue. BibRef 0200

Fattal, R., Agrawala, M., Rusinkiewicz, S.,
Multiscale shape and detail enhancement from multi-light image collections,
TOG(26), No. 3, 2007, pp. xx-yy. SigGraph Issue. BibRef 0700

Fattal, R., Carroll, R., Agrawala, M.,
Edge-based image coarsening,
TOG(29), No. 3, 2009, pp. xx-yy. SigGraph Issue. BibRef 0900

Toriu, T., Zin, T.T.[Thi Thi], Hama, H.,
Image smoothing using a metric tensor for an affine invariant scale space,
IPTA14(1-6)
IEEE DOI 1503
affine transforms BibRef

Shi, X.G.[Xiao-Guo], Li, X.Q.[Xue-Qing],
An improved error diffusion algorithm based on visual difference,
ICIP14(2619-2623)
IEEE DOI 1502
Adaptation models BibRef

Franchi, G.[Gianni], Angulo, J.[Jesus],
Spatially-Variant Area Openings for Reference-Driven Adaptive Contour Preserving Filtering,
ICPR14(1043-1048)
IEEE DOI 1412
Area measurement BibRef

Zhang, Q.[Qi], Shen, X.Y.[Xiao-Yong], Xu, L.[Li], Jia, J.Y.[Jia-Ya],
Rolling Guidance Filter,
ECCV14(III: 815-830).
Springer DOI 1408
scale aware. BibRef

Wang, H.X.[Hao-Xing], Dai, L.Q.[Long-Quan], Zhang, X.P.[Xiao-Peng],
Edge Guided High Order Image Smoothing,
ACPR13(682-686)
IEEE DOI 1408
image denoising BibRef

Luo, H.L.[He-Lin], Shen, C.T.[Chih-Tsung], Chen, Y.C.[Yu-Chun], Wu, R.H.[Ru-Han], Hung, Y.P.[Yi-Ping],
Automatic Multi-resolution Joint Image Smoothing for Depth Map Refinement,
ACPR13(284-287)
IEEE DOI 1408
Bayes methods BibRef

Tepper, M.[Mariano], Sapiro, G.[Guillermo],
Fast L1 smoothing splines with an application to Kinect depth data,
ICIP13(504-508)
IEEE DOI 1402
Convergence BibRef

Wu, W.C.[Wei-Chen], Wang, T.H.[Tsun-Hsien], Chiu, C.T.[Ching-Te],
Edge curve scaling and smoothing with cubic spline interpolation,
ICIP13(859-862)
IEEE DOI 1402
BibRef

Alsam, A.,
Parameterless edge preserving colour image diffusion,
WSSIP15(1-3)
IEEE DOI 1603
brightness BibRef

Alsam, A.[Ali], Rivertz, H.J.[Hans Jakob],
Color Edge Preserving Smoothing,
ISVC13(I:79-86).
Springer DOI 1310
BibRef

Al-Ismaeil, K.[Kassem], Aouada, D.[Djamila], Ottersten, B.[Bjorn],
Bilateral filter evaluation based on exponential kernels,
ICPR12(258-261).
WWW Link. 1302
BibRef

Tseng, C.Y.[Chen-Yu], Wang, S.J.[Sheng-Jyh],
Maximum-A-Posteriori estimation for global spatial coherence recovery based on Matting Laplacian,
ICIP12(293-296).
IEEE DOI 1302
E.g. for shape from focus and optical flow. BibRef

Matsumoto, M.[Mitsuharu],
Edge Preserving Smoothing by Self-quotient Referring epsilon-filter for Images under Varying Lighting Conditions,
ICCVG12(180-187).
Springer DOI 1210
BibRef

Pham, C.C.[Cuong Cao], Ha, S.V.U.[Synh Viet Uyen], Jeon, J.W.[Jae Wook],
A Local Variance-Based Bilateral Filtering for Artifact-Free Detail- and Edge-Preserving Smoothing,
PSIVT11(II: 60-70).
Springer DOI 1111
BibRef

Jalil, B.[Bushra], Fauvet, E.[Eric], Laligant, O.[Olivier],
Extracting Noise Elements while Preserving Edges in Spatial Domain,
CIAP11(II: 11-18).
Springer DOI 1109
BibRef

Borkowski, D.[Dariusz],
Smoothing, Enhancing Filters in Terms of Backward Stochastic Differential Equations,
ICCVG10(I: 233-240).
Springer DOI 1009
BibRef

Kopylov, A.[Andrey], Krasotkina, O.[Olga], Pryimak, O.[Oleksandr], Mottl, V.[Vadim],
A Signal Processing Algorithm Based on Parametric Dynamic Programming,
ICISP10(280-286).
Springer DOI 1006
BibRef

Tschumperle, D., Brun, L.,
Non-local image smoothing by applying anisotropic diffusion PDE's in the space of patches,
ICIP09(2957-2960).
IEEE DOI 0911
BibRef

Batard, T.[Thomas], Berthier, M.[Michel],
Heat kernels of generalized laplacians-application to color image smoothing,
ICIP09(461-464).
IEEE DOI 0911
BibRef

Yuan, X.T.[Xiao-Tong], Li, S.Z.[Stan Z.],
Stochastic gradient kernel density mode-seeking,
CVPR09(1926-1931).
IEEE DOI 0906
BibRef

Steidl, G.[Gabriele], Teuber, T.[Tanja],
Anisotropic Smoothing Using Double Orientations,
SSVM09(477-489).
Springer DOI 0906
BibRef

Jian, C.[Chang], Inoue, K.[Kohei], Hara, K.[Kenji], Urahama, K.[Kiichi],
Fixed-Coefficient Iterative Bilateral Filters for Graph-Based Image Processing,
PSIVT09(473-484).
Springer DOI 0901
contrast enhancement and smoothing of images using cross bilateral filters, in addition to semi-supervised image segmentation and colorization of monochromatic images. BibRef

Inoue, K.[Kohei], Hara, K.[Kenji], Urahama, K.[Kiichi],
Robust Simultaneous Low Rank Approximation of Tensors,
PSIVT09(574-584).
Springer DOI 0901
BibRef

Vedaldi, A.[Andrea], Soatto, S.[Stefano],
Quick Shift and Kernel Methods for Mode Seeking,
ECCV08(IV: 705-718).
Springer DOI 0810
BibRef

Dong, G.[Gang], Palaniappan, K.[Kannappan],
A Robust Method for Edge-Preserving Image Smoothing,
ACIVS08(xx-yy).
Springer DOI 0810
BibRef

de Oliveira, D.M.[Daniel Marques], Lins, R.D.[Rafael Dueire],
Improving the Border Detection and Image Enhancement Algorithms in Tableau,
ICIAR08(xx-yy).
Springer DOI 0806
BibRef

Sheikh, Y.A.[Yaser Ajmal], Khan, E.A.[Erum Arif], Kanade, T.[Takeo],
Mode-seeking by Medoidshifts,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Yuan, X.T.[Xiao-Tong], Li, S.Z.[Stan Z.],
Half Quadratic Analysis for Mean Shift: With Extension to A Sequential Data Mode-Seeking Method,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Bertelli, L.[Luca], Manjunath, B.S.,
Edge Preserving Filters using Geodesic Distances on Weighted Orthogonal Domains,
ICIP07(I: 321-324).
IEEE DOI 0709
BibRef

Dahl, J.[Joachim], Jensen, S.H.[Soren Holdt], Hansen, P.C.[Per Christian],
A Convex Programming Approach to Anisotropic Smoothing,
ICIP07(II: 101-104).
IEEE DOI 0709
BibRef

Backhouse, A.[Andy], Gu, I.Y.H.[Irene Y. H.], Wang, T.S.[Tie-Sheng],
ML Nonlinear Smoothing for Image Segmentation and its Relationship to the Mean Shift,
ICIP07(IV: 337-340).
IEEE DOI 0709
BibRef

Yu, R.[Ruiguo], Liu, Z.Y.[Ze-Yi], Liu, Y.[Ying],
A Local R3-Subdivision Algorithm preserving Sharp Features,
ICARCV06(1-6).
IEEE DOI 0612
For 3D, process areas facing viewpoint. BibRef

Schall, O.[Oliver], Belyaev, A.[Alexander], Seidel, H.P.[Hans-Peter],
Feature-preserving denoising of time-varying range data,
SigGraph06(Article 56).
WWW Link. BibRef 0600

Morillas, S.[Samuel], Schulte, S.[Stefan], Mélange, T.[Tom], Kerre, E.E.[Etienne E.], Gregori, V.[Valentín],
A Soft-Switching Approach to Improve Visual Quality of Colour Image Smoothing Filters,
ACIVS07(254-261).
Springer DOI 0708
BibRef

Cao, L.L.[Liang-Liang], Li, F.F.[Fei-Fei],
Spatially Coherent Latent Topic Model for Concurrent Segmentation and Classification of Objects and Scenes,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Chen, S.F.[Shi-Feng], Cao, L.L.[Liang-Liang], Liu, J.Z.[Jian-Zhuang], Tang, X.[Xiaoou],
Iterative MAP and ML Estimations for Image Segmentation,
CVPR07(1-6).
IEEE DOI 0706
BibRef
Earlier:
Automatic Segmentation of Lung Fields from Radiographic Images of SARS Patients Using a New Graph Cuts Algorithm,
ICPR06(I: 271-274).
IEEE DOI 0609
BibRef

Malm, H.[Henrik], Warrant, E.[Eric],
Motion Dependent Spatiotemporal Smoothing for Noise Reduction in Very Dim Light Image Sequences,
ICPR06(III: 954-959).
IEEE DOI 0609
BibRef

Shan, S.G.[Shi-Guang], Zhang, W.C.[Wen-Chao], Su, Y.[Yu], Chen, X.L.[Xi-Lin], Gao, W.[Wen],
A Riemannian Weighted Filter for Edge-sensitive Image Smoothing,
ICPR06(III: 590-593).
IEEE DOI 0609
BibRef

Robles-Kelly, A., Hancock, E.R.,
Vector field smoothing via heat flow,
ICPR04(II: 94-97).
IEEE DOI 0409
BibRef

Howard, T.C., Morse, B.S.,
Interactive level-set smoothing for photo editing,
ICIP03(III: 1057-1060).
IEEE DOI 0312
BibRef

Song, B.C.[Byung Cheol], Chun, K.W.[Kang Wook],
Motion-compensated temporal pre-filtering for noise reduction in a video encoder,
ICIP04(II: 1221-1224).
IEEE DOI 0505
BibRef
Earlier:
Motion-compensated noise estimation for efficient pre-filtering in a video encoder,
ICIP03(II: 211-214).
IEEE DOI 0312
BibRef

Gallo, G.[Giovanni], Giuoco, A.L.[Alessandro Lo],
Offset Smoothing Using the USAN's Principle,
CAIP03(770-777).
Springer DOI 0311
BibRef

Olmstead, R., Farison, J.B.,
Linear filtering of spatially invariant image sequences for feature separation and compression under three types of image noise,
Southwest02(183-187).
IEEE Top Reference. 0208
BibRef

El Doker, T.A., Mlsna, P.A.,
Efficient region boundary approximation using adaptive smoothing and second-order B-splines,
Southwest02(139-143).
IEEE Top Reference. 0208
BibRef

August, J.[Jonas],
Volterra Filtering of Noisy Images of Curves,
ECCV02(III: 604 ff.).
Springer DOI 0205
BibRef

Vemuri, B.C., Chen, Y., Wang, Z.,
Registration Assisted Image Smoothing and Segmentation,
ECCV02(IV: 546 ff.).
Springer DOI 0205
BibRef

Vemuri, B.C., Wang, L., Chen, Y.,
A Coupled PDE Model of Nonlinear Diffusion for Image Smoothing and Segmentation,
CVPR98(132-137).
IEEE DOI BibRef 9800

Lukac, R., Marchevsky, S.,
Adaptive Vector LUM Smoother,
ICIP01(I: 878-881).
IEEE DOI 0108
BibRef

Smolka, B.[Bogdan], Wojciechowski, K.W.[Konrad W.],
Edge Preserving Image Smoothing Based on Self Avoiding Random Walk,
ICPR00(Vol III: 664-667).
IEEE DOI 0009
BibRef
Earlier:
Edge Preserving Probabilistic Smoothing Algorithm,
CAIP99(41-48).
Springer DOI 9909
BibRef

Ghosal, S.,
On Algebraic Smoothing: Theory and Results,
ICPR00(Vol III: 17-20).
IEEE DOI 0009
BibRef

Yoshida, T., Hirano, K.,
An Edge Enhancement Technique for Image Segmentation Based on Resistive Circuit Simulation,
ICIP00(Vol III: 913-916).
IEEE DOI 0008
BibRef

Weisenseel, R.A., Karl, W.C., Castanon, D.A.,
A Region-based Alternative for Edge-preserving Smoothing,
ICIP00(Vol III: 778-781).
IEEE DOI 0008
BibRef

Black, M.J.[Michael J.], Sapiro, G.[Guillermo],
Edges as Outliers: Anisotropic Smoothing using Local Image Statistics,
ScaleSpace99(259-270). BibRef 9900

Teo, P., Sapiro, G., and Wandell, B.,
Segmenting Cortical Gray Matter for Functional MRI Visualization,
ICCV98(292-297).
IEEE DOI BibRef 9800
Earlier:
Anisotropic Smoothing of Posterior Probabilities,
ICIP97(I: 675-678).
IEEE DOI BibRef

Bakker, P., van Vliet, L.J., Verbeek, P.W.,
Edge Preserving Orientation Adaptive Filtering,
CVPR99(I: 535-540).
IEEE DOI See also Edge Preserving Texture Analysis. BibRef 9900

Mottl, V.[Vadim], Kopylov, A., Kostin, A.,
Edge Preserving in Generalized Smoothing of Signals and Images,
ICPR98(Vol II: 1579-1581).
IEEE DOI 9808
BibRef

Siddiqi, K.[Kaleem], Tannenbaum, A.R.[Allen R.], and Zucker, S.W.[Steven W.],
Hyperbolic 'Smoothing' of Shapes,
ICCV98(215-221).
IEEE DOI BibRef 9800

Kasinski, A.J.[Andrzej J.],
Smoothing noisy images without destroying predefined feature carriers,
CAIP97(519-526).
Springer DOI 9709
BibRef

Zeng, C., and Sonka, M.,
Local Three-Dimensional Shape-Preserving Smoothing without Shrinkage,
ICIP97(I: 393-396).
IEEE DOI BibRef 9700

Muneyasu, M.[Mitsuji], Yasu, Y.[Yoshihiro], Hinamoto, T.[Takao],
A Design of Adaptive Stack filters Using Pattern Classification,
ICIP99(I:534-538).
IEEE DOI BibRef 9900

Muneyasu, M.[Mitsuji], Wada, Y., Hinamoto, T.,
Edge-Preserving Smoothing by Adaptive Nonlinear Filters Based on Fuzzy Control Laws,
ICIP96(I: 785-788).
IEEE DOI BibRef 9600

Anastasio, M.A., Pan, X.C.[Xiao-Chuan], Kao, C.M.[Chien-Min],
A general technique for smoothing multi-dimensional datasets utilizing orthogonal expansions and lower dimensional smoothers,
ICIP98(II: 718-721).
IEEE DOI 9810
BibRef

Li, B., Zhao, D.,
Weighted-Fitting-Based Adaptive Filtering of Images,
SCV95(401-406).
IEEE DOI University of Michigan-Dearborn. Changes both the filter size and its shape. BibRef 9500

Caelli, T.M.[Terry M.], Ollila, M.[Mark],
In-place covariance operators for computer vision,
CIAP95(374-380).
Springer DOI 9509
BibRef

Grace, A.E., Spann, M.,
Edge Enhancement and Fine Feature Restoration of Segmented Objects using Pyramid Based Adaptive Filtering,
BMVC93(xx-yy).
PDF File. 9309
BibRef

Azencott, R., Chalmond, B., Coldefy, F.,
Association of adaptative smoothing and Markovian models for detection of valley bottoms on strongly noisy images,
ICPR92(III:327-330).
IEEE DOI 9208
nondestructive testing BibRef

Amiri, H., Zamperoni, P.,
An alpha-trimmed mean filter controlled by local parameters,
ICPR92(III:700-703).
IEEE DOI 9208
BibRef

Fairfield, J.,
Toboggan Contrast Enhancement for Contrast Segmentation,
ICPR90(I: 712-716).
IEEE DOI An alternative to adaptive smoothing. BibRef 9000

Shen, Q.,
Fuzzy image smoothing,
ICPR90(II: 74-78).
IEEE DOI 9208
BibRef

Liu, S.C., Harris, J.G.,
Generalized smoothing networks in early vision,
CVPR89(184-191).
IEEE DOI 0403
See also Analog Hardware for Detecting Discontinuities in Early Vision. BibRef

Sun, X., Yan, P., Chang, T.,
A New Smoothing Filter for Directional Detection and Enhancement,
ICPR88(I: 628-630).
IEEE DOI BibRef 8800

Wang, D., Wang, Q.,
A Weighted Averaging Method for Image Smoothing,
ICPR86(981-983). BibRef 8600

Cai, Y.L., Chen, C.S.,
An Edge Preserving Smoothing Filter Based on the Robust Estimate,
ICPR86(206-208). BibRef 8600

Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Implementation of Convolution and Smoothing Techniques .


Last update:Sep 18, 2017 at 11:34:11