7.1.4 Smoothing Techniques, Adaptive Smoothing

Golay, M.J.E.,
Smoothing Data by Least Squares Procedures and by Filtering,
TC(21), No. 3, March 1972, pp. 299-301. BibRef 7203

Panda, D.P.[Durga P.],
Nonlinear smoothing of pictures,
CGIP(8), No. 2, October 1978, pp. 259-270.
Elsevier DOI 0501
BibRef

Nagao, M.[Makoto], Matsuyama, T.[Takashi],
Edge Preserving Smoothing,
CGIP(9), No. 4, April 1979, pp. 394-407.
Elsevier DOI BibRef 7904

Scher, A., Velasco, F.R.D., Rosenfeld, A.,
Some New Image Smoothing Techniques,
SMC(10), 1980, pp. 153-158. BibRef 8000

Wang, D.C.C., Vagnucci, A.H., Li, C.C.,
Gradient Inverse Weighted Smoothing Scheme and the Evaluation of Its Performance,
CGIP(15), No. 2, February 1981, pp. 167-181.
Elsevier DOI BibRef 8102

Lee, J.S.[Jong-Sen],
Digital Image Smoothing and the Sigma Filter,
CVGIP(24), No. 2, November 1983, pp. 255-269.
Elsevier DOI
See also Simple Speckle Smoothing Algorithm for Synthetic Aperture Radar Images, A. BibRef 8311

Pomalaza-Raez, C.A., McGillem, C.D.,
An Adaptive Non-Linear Edge-Preserving Filter,
ASSP(32), 1984, pp. 571-576. BibRef 8400

Woods, J.W., Dravida, S., Mediavilla, R.,
Image Estimation Using Doubly Stochastic Gaussian Random Field Models,
PAMI(9), No. 2, March 1987, pp. 245-253. BibRef 8703

Harwood, D., Subbarao, M., Hakalahti, H., Davis, L.S.[Larry S.],
A New Class of Edge-Preserving Smoothing Filters,
PRL(6), 1987, pp. 155-162. BibRef 8700

Yang, M.C.K., Yang, C.C.,
Image Enhancement for Segmentation by Self-Induced Autoregressive Filtering,
PAMI(11), No. 6, June 1989, pp. 655-661.
IEEE DOI BibRef 8906

Saint-Marc, P., Chen, J.S., Medioni, G.G.,
Adaptive Smoothing: A General Tool for Early Vision,
PAMI(13), No. 6, June 1991, pp. 514-529.
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.,
Adaptive Smoothing for Feature Extraction,
DARPA88(1100-1113). BibRef 8800 USC Computer Vision BibRef

du Buf, J.M.H., Campbell, T.G.,
A Quantative Evaluation of Edge-Preserving Smoothing Techniques,
SP(21), No. 4, December 1990, pp. 289-301. BibRef 9012

Mitchell, H.B., Mashkit, N.[Nachum],
Noise smoothing by a fast K-nearest neighbour algorithm,
SP:IC(4), No. 3, June 1992, pp. 227-232.
Elsevier DOI 0001
Noise smoothing; K-Nearest Neighbour algorithm BibRef

Oliensis, J.,
Local Reproducible Smoothing without Shrinkage,
PAMI(15), No. 3, March 1993, pp. 307-312.
IEEE DOI BibRef 9303
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],
On Edge Preservation in Multiresolution Images,
GMIP(54), No. 6, November 1992, pp. 461-472. BibRef 9211

Meer, P., Park, R.H., Cho, K.J.,
Multiresolution Adaptive Image Smoothing,
GMIP(56), No. 2, March 1994, pp. 140-148. Adaptive Smoothing.
See also Robust Adaptive Segmentation of Range Images. BibRef 9403

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,
IP(2), No. 3, July 1993, pp. 296-310.
IEEE DOI 0402
BibRef

Cheng, Y.Z.,
Mean Shift, Mode Seeking, And Clustering,
PAMI(17), No. 8, August 1995, pp. 790-799.
IEEE DOI Replace points by the mean of the neighborhood. Applied to Hough and clustering.
See also Implementation of the Mean Shift Algorithm, An. BibRef 9508

Chah, C.L., Katsaggelos, A.K., Sahakian, A.V.,
Linear-quadratic noise-smoothing filters for quantum-limited images,
IP(4), No. 9, September 1995, pp. 1328-1333.
IEEE DOI 0402
BibRef

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.[Roman M.], Zinterhof, P.[Peter],
A Fast Structure-Adaptive Evaluation of Local Features in Images,
PR(29), No. 9, September 1996, pp. 1495-1505.
Elsevier DOI 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.,
Automatic-Determination of the Spread Parameter in Gaussian Smoothing,
PRL(17), No. 12, October 25 1996, pp. 1247-1252. 9612
BibRef

Gurelli, M.I., Onural, L.,
A Class of Adaptive Directional Image Smoothing Filters,
PR(29), No. 12, December 1996, pp. 1995-2004.
Elsevier DOI 9701
BibRef

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., 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
BibRef

Concetti, A., Jetto, L.[Leopoldo],
Two-Dimensional Recursive Filtering Algorithm with Edge-Preserving Properties and Reduced Numerical Complexity,
CirSysSignal(44), No. 7, July 1997, pp. 587-591. 9708
BibRef

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
BibRef

Carmona, R.A., Zhong, S.F.,
Adaptive Smoothing Respecting Feature Directions,
IP(7), No. 3, March 1998, pp. 353-358.
IEEE DOI 9803
BibRef

Yezzi, A.J.,
Modified Curvature Motion for Image Smoothing and Enhancement,
IP(7), No. 3, March 1998, pp. 345-352.
IEEE DOI 9803
BibRef

Li, S.Z.[Stan Z.],
Close-Form Solution and Parameter Selection for Convex Minimization-Based Edge-Preserving Smoothing,
PAMI(20), No. 9, September 1998, pp. 916-932.
IEEE DOI 9809
BibRef

Li, S.Z.,
Roof-Edge Preserving Image Smoothing Based on MRF's,
IP(9), No. 6, June 2000, pp. 1134-1138.
IEEE DOI 0006
BibRef

Yager, R.R., Filev, D.P.,
Induced Ordered Weighted Averaging Operators,
SMC-B(29), No. 2, April 1999, pp. 141.
IEEE Top Reference. BibRef 9904

Keratiotis, G., Lind, L.,
Optimum variable step-size sequence for LMS adaptive filters,
VISP(146), No. 1, February 1999, pp. 1. BibRef 9902

Harteneck, M., McWhirter, J.G., Proudler, I.K., Stewart, R.W.,
Algorithmically engineered fast multichannel adaptive filter based on QR-RLS,
VISP(146), No. 1, February 1999, pp. 7. BibRef 9902

Liu, X.W.[Xiu-Wen], Wang, D.L.L.[De-Liang L.], Ramirez, J.R.[J. Raul],
Boundary detection by contextual non-linear smoothing,
PR(33), No. 2, February 2000, pp. 263-280.
Elsevier DOI 0001
BibRef
Earlier:
Oriented statistical nonlinear smoothing filter,
ICIP98(II: 848-852).
IEEE DOI 9810
BibRef

Hari, K.V.S., Ramakrishnan, B.V.,
Performance analysis of a modified spatial smoothing technique for direction estimation,
SP(79), No. 1, November 1999, pp. 73-85. 0002
BibRef

Belkacem-Boussaid, K., Beghdadi, A.,
A New Image Smoothing Method Based on A Simple Model of Spatial Processing in the Early Stages of Human Vision,
IP(9), No. 2, February 2000, pp. 220-226.
IEEE DOI 0003
BibRef
Earlier:
Non linear smoothing method based on the just-noticeable contrast,
ICIP98(II: 843-847).
IEEE DOI 9810
BibRef

Mandic, D.P., Chambers, J.A.,
Posteriori Real-Time Recurrent Learning Schemes for a Recurrent Neural Network Based Nonlinear Predictor,
VISP(145), No. 6, December 1998, pp. p.365. BibRef 9812

Mandic, D.P., Chambers, J.A.,
A posteriori error learning in nonlinear adaptive filters,
VISP(146), No. 6, December 1999, pp. 293. 0003
BibRef

Fessler, J.A., Erdogan, H., Wu, W.B.,
Exact Distribution of Edge-Preserving MAP Estimators for Linear Signal Models with Gaussian Measurement Noise,
IP(9), No. 6, June 2000, pp. 1049-1055.
IEEE DOI 0006
BibRef

Kang, D.J.[Dong Joong], Kweon, I.S.[In-So],
An edge-based algorithm for discontinuity adaptive color image smoothing,
PR(34), No. 2, February 2001, pp. 333-342.
Elsevier DOI 0011
BibRef

Pfann, E., Stewart, R.W., Hoffman, M.W.,
Overswamped sigma-delta LMS adaptive FIR filters,
VISP(147), No. 5, October 2000, pp. 385-392. 0101
BibRef

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,
IP(10), No. 2, February 2001, pp. 296-306.
IEEE DOI 0104
BibRef

Kang, D.J., Roh, K.S.,
A discontinuity adaptive Markov model for color image smoothing,
IVC(19), No. 6, April 2001, pp. 369-379.
Elsevier DOI 0105
BibRef

Chen, Y., Barcelos, C.A.Z.[Celia 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.
DOI Link 0108
BibRef

Saha, P.K., Udupa, J.K.,
Scale-based diffusive image filtering preserving boundary sharpness and fine structures,
MedImg(20), No. 11, November 2001, pp. 1140-1155.
IEEE Top Reference. 0111
BibRef
And: Correction: MedImg(21), No. 2, February 2002, pp. 184-185.
IEEE Top Reference. 0204
BibRef

Rivera, M.[Mariano], Marroquin, J.L.[Jose L.],
Adaptive Rest Condition Potentials: First and Second Order Edge-Preserving Regularization,
CVIU(88), No. 2, November 2002, pp. 76-93.
DOI Link 0301
BibRef
Earlier:
Adaptive Rest Condition Potentials: Second Order Edge-Preserving Regularization,
ECCV02(I: 113 ff.).
Springer DOI 0205
BibRef
Earlier:
The Adaptive Rest Condition Spring System: An Edge-preserving Regularization Technique,
ICIP00(Vol III: 805-808).
IEEE DOI 0008
BibRef

Evans, A.N.,
Vector area morphology for motion field smoothing and interpretation,
VISP(150), No. 4, August 2003, pp. 219-226.
IEEE Abstract. 0311
BibRef

Young, N., Evans, A.N.,
Psychovisually tuned attribute operators for pre-processing digital video,
VISP(150), No. 4, October 2003, pp. 277-286.
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.,
Adaptive Alpha-Trimmed Mean Filters Under Deviations From Assumed Noise Model,
IP(13), No. 5, May 2004, pp. 627-639.
IEEE DOI 0404
BibRef

Asif, A.,
Fast Rauch-Tung-Striebel smoother-based image restoration for noncausal images,
SPLetters(11), No. 3, March 2004, pp. 371-374.
IEEE Abstract. 0404
BibRef

Fashing, M.[Mark], Tomasi, C.[Carlo],
Mean Shift Is a Bound Optimization,
PAMI(27), No. 3, March 2005, pp. 471-474.
IEEE Abstract. 0501

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
BibRef
And: Erratum PAMI(30), No. 10, October 2008, pp. 1872-1872.
IEEE DOI 0810
Solve two measures simultaneously to find discontinuities. BibRef

Gao, S.[Song], Bui, T.D.,
Image Segmentation and Selective Smoothing by Using Mumford-Shah Model,
IP(14), No. 10, October 2005, pp. 1537-1549.
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],
Least-squares smoothing of 3D digital curves,
RealTimeImg(11), No. 5-6, October-December 2005, pp. 465-473.
Elsevier DOI 0510
BibRef

Pham, T.Q.[Tuan Q.], van Vliet, L.J.[Lucas J.], Schutte, K.[Klamer],
Robust Fusion of Irregularly Sampled Data Using Adaptive Normalized Convolution,
JASP(2006), No. Article ID 83268, 2006, pp. 1-12.
WWW Link. 0603
BibRef

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).
Springer DOI 0310
BibRef

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
BibRef
And:
Curvature-Preserving Regularization of Multi-valued Images Using PDE's,
ECCV06(II: 295-307).
Springer DOI 0608
BibRef
Lic-Based Regularization of Multi-Valued Images,
ICIP05(III: 533-536).
IEEE DOI 0512
BibRef

Vaiphasa, C.[Chaichoke],
Consideration of smoothing techniques for hyperspectral remote sensing,
PandRS(60), No. 2, April 2006, pp. 91-99.
Elsevier DOI 0610
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.
Elsevier DOI 0611
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
BibRef

Papari, G.[Giuseppe], Petkov, N.[Nicolai],
Continuous Glass Patterns for Painterly Rendering,
IP(18), No. 3, March 2009, pp. 652-664.
IEEE DOI 0903
BibRef
Earlier:
Glass Patterns and Artistic Imaging,
PSIVT09(1034-1045).
Springer DOI 0901
BibRef

Papari, G.[Giuseppe], Petkov, N.[Nicolai],
Reduced Inverse Distance Weighting Interpolation for Painterly Rendering,
CAIP09(509-516).
Springer DOI 0909
BibRef

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.
IEEE DOI 0804
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.
Elsevier DOI 0808
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.
Elsevier DOI 0808
BibRef
Earlier:
Graph Spectral Image Smoothing,
GbRPR07(191-203).
Springer DOI 0706
BibRef
Earlier:
Tensor MRI Regularization via Graph Diffusion,
BMVC06(II:589).
PDF File. 0609
BibRef
And:
Heat Kernel Smoothing of Scalar and Vector Image Data,
ICIP06(1549-1552).
IEEE DOI 0610
BibRef
And:
Smoothing Tensor-Valued Images Using Anisotropic Geodesic Diffusion,
SSPR06(83-91).
Springer DOI 0608
BibRef
Earlier:
Edge Detection and Anisotropic Diffusion for Tensor-Valued Images,
ICIP06(229-232).
IEEE DOI 0610
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.],
New Riemannian techniques for directional and tensorial image data,
PR(43), No. 4, April 2010, pp. 1590-1606.
Elsevier DOI 1002
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.],
A Riemannian Weighted Filter for Edge-sensitive Image Smoothing,
ICPR06(III: 594-598).
IEEE DOI 0609
BibRef

Yu, L.[Lu], Wang, Q.[Qiao], Wu, L.[Lenan], Xie, J.[Jun],
A Mumford-Shah model on lattice,
IVC(26), No. 12, 1 December 2008, pp. 1663-1669.
Elsevier DOI 0810
Image segmentation; Mumford-Shah; Discrete model
See also Optimal Approximations by Piecewise Smooth Functions and Variational Problems. BibRef

Buades, A., Chien, A., Morel, J.M., Osher, S.J.,
Topology Preserving Linear Filtering Applied To Medical Imaging,
SIIMS(1), No. 1, 2008, pp. 26-50. image restoration; PDE smoothing filters; 3D medical imaging; nonlocal image analysis; graph based image segmentation
DOI Link BibRef 0800

Pizarro, L.[Luis], Mrázek, P.[Pavel], Didas, S.[Stephan], Grewenig, S.[Sven], Weickert, J.[Joachim],
Generalised Nonlocal Image Smoothing,
IJCV(90), No. 1, October 2010, pp. xx-yy.
Springer DOI 1007
Penalize dissimilarity over image patches. BibRef

Gwosdek, P.[Pascal], Grewenig, S.[Sven], Bruhn, A.[Andrés], Weickert, J.[Joachim],
Theoretical Foundations of Gaussian Convolution by Extended Box Filtering,
SSVM11(447-458).
Springer DOI 1201
BibRef
Earlier: A2, A4, A3, Only:
From Box Filtering to Fast Explicit Diffusion,
DAGM10(533-542).
Springer DOI 1009
Award, GCPR. BibRef

Pizarro, L.[Luis], Didas, S.[Stephan], Bauer, F.[Frank], Weickert, J.[Joachim],
Evaluating a General Class of Filters for Image Denoising,
SCIA07(601-610).
Springer DOI 0706
BibRef

Freedman, D.[Daniel], Kisilev, P.[Pavel],
KDE Paring and a Faster Mean Shift Algorithm,
SIIMS(3), No. 4, 2010, pp. 878-903.
DOI Link 1011
BibRef
Earlier:
Fast Mean Shift by compact density representation,
CVPR09(1818-1825).
IEEE DOI 0906
Faster computation of mean-shift. kernel density estimate; mean shift; segmentation; sampling BibRef

Humphrey, D., Taubman, D.,
A Filtering Approach to Edge Preserving MAP Estimation of Images,
IP(20), No. 5, May 2011, pp. 1234-1248.
IEEE DOI 1104
BibRef
Earlier: ICIP04(I: 307-310).
IEEE DOI 0505
BibRef

Chambolle, A.[Antonin], Levine, S.E.[Stacey E.], Lucier, B.J.[Bradley J.],
An Upwind Finite-Difference Method For Total Variation-Based Image Smoothing,
SIIMS(4), No. 1, 2011, pp. 277-299.
DOI Link 1106
total variation; image denoising; finite-difference schemes; multiscale methods; upwind schemes BibRef

Surya Prasath, V.B., Singh, A.[Arindama],
An Adaptive Diffusion Scheme for Image Restoration and Selective Smoothing,
IJIG(12), No. 1, January 2012, pp. 1250003.
DOI Link 1203
BibRef

Mahmoudi, R.[Ramzi], Akil, M.[Mohamed],
Enhanced computation method of topological smoothing on shared memory parallel machines,
JIVP(2011), No. 1 2011, pp. xx-yy.
DOI Link 1203
BibRef

Thevenaz, P., Sage, D., Unser, M.,
Bi-Exponential Edge-Preserving Smoother,
IP(21), No. 9, September 2012, pp. 3924-3936.
IEEE DOI 1208
BibRef

Wang, Y.[Yan], He, C.J.[Chuan-Jiang],
Image segmentation algorithm by piecewise smooth approximation,
JIVP(2012), No. 1 2012, pp. 16.
DOI Link 1210
BibRef

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,
VC(27), No. 12, December 2011, pp. 1195-1207.
WWW Link. 1211
BibRef

Qiu, T., Wang, A., Yu, N., Song, A.,
LLSURE: Local Linear SURE-Based Edge-Preserving Image Filtering,
IP(22), No. 1, January 2013, pp. 80-90.
IEEE DOI 1301
BibRef

Ham, B.[Bumsub], Min, D.B.[Dong-Bo], Sohn, K.,
Revisiting the Relationship Between Adaptive Smoothing and Anisotropic Diffusion With Modified Filters,
IP(22), No. 3, March 2013, pp. 1096-1107.
IEEE DOI 1302
BibRef

Jordan, C., Morillas, S., Sanabria-Codesal, E.,
Colour image smoothing through a soft-switching mechanism using a graph model,
IET-IPR(6), No. 9, 2012, pp. 1293-1298.
DOI Link 1302
BibRef

Su, Z., Luo, X., Deng, Z., Liang, Y., Ji, Z.,
Edge-Preserving Texture Suppression Filter Based on Joint Filtering Schemes,
MultMed(15), No. 3, 2013, pp. 535-548.
IEEE DOI 1303
BibRef

Magnier, B.[Baptiste], Montesinos, P.[Philippe], Diep, D.[Daniel],
Perceptual Color Image Smoothing via a New Region-Based PDE Scheme,
ELCVIA(12), No. 1, 2013, pp. xx-yy.
DOI Link 1303

See also Novel Image Descriptor Based on Anisotropic Filtering, A. BibRef

Magnier, B.[Baptiste], Montesinos, P.[Philippe], Diep, D.[Daniel],
Texture Removal Preserving Edges by Diffusion,
SCIA15(3-15).
Springer DOI 1506
BibRef

Getreuer, P.[Pascal],
A Survey of Gaussian Convolution Algorithms,
IPOL(2013), No. 2013, pp. 286-310.
DOI Link 1403
Code, Gaussian Convolution. Used by Gabor, Canny (
See also Computational Approach to Edge Detection, A. ), and SIFT (
See also Distinctive Image Features from Scale-Invariant Keypoints. ) among other uses. BibRef

Nagahara, M., Martin, C.F.,
L^1 Control Theoretic Smoothing Splines,
SPLetters(21), No. 11, November 2014, pp. 1394-1397.
IEEE DOI 1408
convex programming BibRef

Einicke, G.A.,
Iterative Frequency-Weighted Filtering and Smoothing Procedures,
SPLetters(21), No. 12, December 2014, pp. 1467-1470.
IEEE DOI 1410
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,
IP(23), No. 12, December 2014, pp. 5638-5653.
IEEE DOI 1412
computer graphics BibRef

Li, Y.[Yu], Min, D.B.[Dong-Bo], Do, M.N.[Minh N.], Lu, J.B.[Jiang-Bo],
Fast Guided Global Interpolation for Depth and Motion,
ECCV16(III: 717-733).
Springer DOI 1611
BibRef

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.
WWW Link. 1503
BibRef

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

Chan, S.H.[Stanley H.], Zickler, T.E.[Todd E.], Lu, Y.M.[Yue M.],
Understanding Symmetric Smoothing Filters: A Gaussian Mixture Model Perspective,
IP(26), No. 11, November 2017, pp. 5107-5121.
IEEE DOI 1709
BibRef
Earlier:
Understanding symmetric smoothing filters via Gaussian mixtures,
ICIP15(2500-2504)
IEEE DOI 1512
Gaussian processes, expectation-maximisation algorithm, image denoising, image filtering, iterative methods, Smoothing methods, Symmetric matrices, Non-local means, BibRef

He, L.T.[Liang-Tian], Wang, Y.L.[Yi-Lun],
Image smoothing via truncated L0 gradient regularisation,
IET-IPR(12), No. 2, February 2018, pp. 226-234.
DOI Link 1801
BibRef

Al-nasrawi, M.[Mukhalad], Deng, G.[Guang], Thai, B.[Ba],
Edge-aware smoothing through adaptive interpolation,
SIViP(12), No. 2, February 2018, pp. 347-354.
WWW Link. 1802
BibRef

Tronarp, F., García-Fernández, Á.F., Särkkä, S.,
Iterative Filtering and Smoothing in Nonlinear and Non-Gaussian Systems Using Conditional Moments,
SPLetters(25), No. 3, March 2018, pp. 408-412.
IEEE DOI 1802
Approximation algorithms, Computational modeling, Estimation, Kalman filters, Random variables, Signal processing algorithms, statistical linear regression (SLR) BibRef

Zhao, Z.[Zheng], Särkkä, S.[Simo],
Non-Linear Gaussian Smoothing With Taylor Moment Expansion,
SPLetters(29), 2022, pp. 80-84.
IEEE DOI 2202
Smoothing methods, Mathematical models, Signal processing algorithms, Numerical models, Taylor moment expansion BibRef

Zhou, Z.Q.[Zhi-Qiang], Wang, B.[Bo], Ma, J.L.[Jin-Lei],
Scale-Aware Edge-Preserving Image Filtering via Iterative Global Optimization,
MultMed(20), No. 6, June 2018, pp. 1392-1405.
IEEE DOI 1805
Anisotropic magnetoresistance, Image edge detection, Iterative methods, Optimization, Smoothing methods, Visualization, iterative global optimization (IGO) BibRef

Ni, K.[Kang], Wu, Y.[Yiquan],
Adaptive patched L0 gradient minimisation model applied on image smoothing,
IET-IPR(12), No. 10, October 2018, pp. 1892-1902.
DOI Link 1809
BibRef

Huang, W.G.[Wei-Guo], Bi, W.[Wei], Gao, G.Q.[Guan-Qi], Zhang, Y.P.[Yong Ping], Zhu, Z.K.[Zhong-Kui],
Image smoothing via a scale-aware filter and L_0 norm,
IET-IPR(12), No. 9, September 2018, pp. 1521-1528.
DOI Link 1809
BibRef

Wei, X.[Xing], Yang, Q.X.[Qing-Xiong], Gong, Y.H.[Yi-Hong],
Joint Contour Filtering,
IJCV(126), No. 11, November 2018, pp. 1245-1265.
Springer DOI 1809
Edge preserving smoothing. BibRef

Deng, G.[Guang], Manton, J.H.[Jonathan H.], Wang, S.[Song],
Fast Kernel Smoothing by a Low-Rank Approximation of the Kernel Toeplitz Matrix,
JMIV(60), No. 8, October 2018, pp. 1181-1195.
Springer DOI 1810
BibRef

Buzzard, G.T.[Gregery T.], Chambolle, A.[Antonin], Cohen, J.D.[Jonathan D.], Levine, S.E.[Stacey E.], Lucier, B.J.[Bradley J.],
Pointwise Besov Space Smoothing of Images,
JMIV(61), No. 1, January 2019, pp. 1-20.
Springer DOI 1901
BibRef

Wang, Y.H.[Yan-Hui], Zhang, H.B.[Hong-Bin],
Accurate Smoothing for Continuous-Discrete Nonlinear Systems With Non-Gaussian Noise,
SPLetters(26), No. 3, March 2019, pp. 465-469.
IEEE DOI 1903
continuous systems, discrete systems, Gaussian noise, Gaussian processes, Kalman filters, non-Gaussian noise BibRef

Zhu, F., Liang, Z., Jia, X., Zhang, L., Yu, Y.,
A Benchmark for Edge-Preserving Image Smoothing,
IP(28), No. 7, July 2019, pp. 3556-3570.
IEEE DOI 1906
Smoothing methods, Image edge detection, Benchmark testing, Neural networks, Image reconstruction, Visualization, deep convolutional networks BibRef

Deng, L., Glowinski, R., Tai, X.,
A New Operator Splitting Method for the Euler Elastica Model for Image Smoothing,
SIIMS(12), No. 2, 2019, pp. 1190-1230.
DOI Link 1907
BibRef

Demirovic, D.[Damir],
An Implementation of the Mean Shift Algorithm,
IPOL(9), 2019, pp. 251-268.
DOI Link 1909
Code, Mean Shift.
See also review of mean-shift algorithms for clustering, A.
See also Mean Shift, Mode Seeking, And Clustering. BibRef

Carreira-Perpinan, M.A.,
A review of mean-shift algorithms for clustering,
Online2015.
WWW Link. Survey, Mean Shift.
See also Implementation of the Mean Shift Algorithm, An. BibRef 1500

Dinh, T.H., Phung, M.D., Ha, Q.P.,
Summit Navigator: A Novel Approach for Local Maxima Extraction,
IP(29), No. 1, 2020, pp. 551-564.
IEEE DOI 1910
feature extraction, image segmentation, smoothing methods, peak searching, Summit Navigator, local maxima extraction, summit navigator BibRef

Abiko, R.[Ryo], Ikehara, M.[Masaaki],
Fast Edge Preserving 2D Smoothing Filter Using Indicator Function,
IEICE(E102-D), No. 10, October 2019, pp. 2025-2032.
WWW Link. 1912
BibRef

Liu, W., Zhang, P., Chen, X., Shen, C., Huang, X., Yang, J.,
Embedding Bilateral Filter in Least Squares for Efficient Edge-Preserving Image Smoothing,
CirSysVideo(30), No. 1, January 2020, pp. 23-35.
IEEE DOI 2002
edge detection, image filtering, least squares approximations, smoothing methods, BLF, halos BibRef

Ghosh, S., Gavaskar, R.G., Panda, D., Chaudhury, K.N.,
Fast Scale-Adaptive Bilateral Texture Smoothing,
CirSysVideo(30), No. 7, July 2020, pp. 2015-2026.
IEEE DOI 2007
Smoothing methods, Kernel, TV, Image edge detection, Filtering, Proposals, Aggregates, Texture, smoothing, bilateral filter, fast algorithm BibRef

Chen, Y.M.[Yu-Ming], Li, W.[Wei], Wang, Y.Q.[Yu-Qiao],
Robust Gaussian Approximate Fixed-Interval Smoother With Outlier Detection,
SPLetters(27), 2020, pp. 1505-1509.
IEEE DOI 2009
Non-linear state estimators, outliers, smoother, variational bayesian inference BibRef

Liu, C.[Chong], Feng, Y.[Yidan], Yang, C.[Cui], Wei, M.Q.[Ming-Qiang], Wang, J.[Jun],
Multi-Scale Selective Image Texture Smoothing Via Intuitive Single Clicks,
SP:IC(97), 2021, pp. 116357.
Elsevier DOI 2107
Texture smoothing, Intuitive single click, Breadth-first search, Single connected domain BibRef

Cao, W.[Wei], Wu, S.Q.[Shi-Qian], Wu, J.X.[Jia-Xin], Liu, Z.Y.[Zhao-Yi], Li, Y.W.[Yu-Wen],
Edge/Structure-Preserving Texture Filter via Relative Bilateral Filtering With a Conditional Constraint,
SPLetters(28), 2021, pp. 1535-1539.
IEEE DOI 2108
Smoothing methods, Image edge detection, Kernel, Optimization, Feature extraction, Task analysis, Dogs, Image smoothing, hybrid L_0-L_1 variational model BibRef

Taghia, J.[Jalal], Neudek, D.[Daniel], Rosenkranz, T.[Tobias], Puder, H.[Henning], Martin, R.[Rainer],
First-Order Recursive Smoothing of Short-Time Power Spectra in the Presence of Interference,
SPLetters(29), 2022, pp. 239-243.
IEEE DOI 2202
Smoothing methods, Optimized production technology, Signal to noise ratio, Noise measurement, Spectral analysis, MMSE BibRef

Shmaliy, Y.S.[Yuriy S.], Zhao, S.[Shunyi],
Robust q-LAG Unbiased FIR Smoother for LTV Systems and Recursive Forms,
SPLetters(29), 2022, pp. 379-383.
IEEE DOI 2202
Smoothing methods, Kalman filters, Matrices, Finite impulse response filters, Computational modeling, uncertain system BibRef

Yang, Y.[Yang], Hui, H.J.[Hong-Jun], Zeng, L.[Lanling], Zhao, Y.[Yan], Zhan, Y.Z.[Yong-Zhao], Yan, T.[Tao],
Edge-Preserving Image Filtering Based on Soft Clustering,
CirSysVideo(32), No. 7, July 2022, pp. 4150-4162.
IEEE DOI 2207
Image edge detection, Smoothing methods, Task analysis, Optimization, Clustering algorithms, Deep learning, Training, soft clustering BibRef

Liu, W.[Wei], Zhang, P.P.[Ping-Ping], Lei, Y.J.[Yin-Jie], Huang, X.L.[Xiao-Lin], Yang, J.[Jie], Ng, M.[Michael],
A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing,
PAMI(44), No. 10, October 2022, pp. 6631-6648.
IEEE DOI 2209
Smoothing methods, Image edge detection, Task analysis, Image texture, Image coding, Analytical models, Numerical models, structure-preserving image smoothing BibRef

Kumawat, A.[Anchal], Panda, S.[Sucheta],
An Integrated Double Hybrid Fusion Approach for Image Smoothing,
IJIG(23), No. 1 2023, pp. 2350003.
DOI Link 2302
BibRef

Lai, T.T.[Tao-Tao], Sadri, A.[Alireza], Lin, S.Y.[Shu-Yuan], Li, Z.Y.[Zuo-Yong], Chen, R.Q.[Ri-Qing], Wang, H.Z.[Han-Zi],
Efficient sampling using feature matching and variable minimal structure size,
PR(137), 2023, pp. 109311.
Elsevier DOI 2302
Model fitting, Guided sampling, Feature matching, Multiple structure data BibRef

Huang, J.Q.[Jun-Qing], Wang, H.[Haihui], Wang, X.[Xuechao], Ruzhansky, M.[Michael],
Semi-Sparsity for Smoothing Filters,
IP(32), 2023, pp. 1627-1639.
IEEE DOI 2303
Filtering, Smoothing methods, Minimization, Mathematical models, Filtering algorithms, Kernel, Information filters, mesh denoising BibRef

He, L.[Lei], Xie, Y.F.[Yong-Fang], Xie, S.[Shiwen], Chen, Z.P.[Zhi-Peng],
Structure-Preserving Texture Smoothing via Scale-Aware Bilateral Total Variation,
CirSysVideo(33), No. 4, April 2023, pp. 1493-1506.
IEEE DOI 2304
Smoothing methods, Filtering, Image edge detection, Filtering theory, Task analysis, Optimization, Kernel, scale-aware BibRef

Ghanem, H.[Hashem], Salmon, J.[Joseph], Keriven, N.[Nicolas], Vaiter, S.[Samuel],
Supervised Learning of Analysis-Sparsity Priors With Automatic Differentiation,
SPLetters(30), 2023, pp. 339-343.
IEEE DOI 2304
Dictionaries, Signal processing algorithms, Optimization, Image reconstruction, TV, Smoothing methods, Mathematical models, automatic differentiation BibRef

Sun, X.[Xueman], Lv, X.G.[Xiao-Guang], Zhu, G.L.[Guo-Liang], Fang, B.[Biao], Jiang, L.[Le],
Fast additive half-quadratic iterative minimization for lp-lq image smoothing,
IET-IPR(17), No. 6, 2023, pp. 1739-1751.
DOI Link 2305
deconvolution, image denoising, image filtering, image processing, image restoration, iterative methods BibRef

Zhao, J.C.[Jiu-Chao], Zhan, R.H.[Rong-Hui], Zhuang, Z.W.[Zhao-Wen], Li, K.[Kun], Deng, B.[Bing], Peng, H.F.[Hua-Feng],
An Improved Backward Smoothing Method Based on Label Iterative Processing,
RS(15), No. 9, 2023, pp. xx-yy.
DOI Link 2305
BibRef

He, X.Y.[Xu-Yi], Quan, Y.H.[Yu-Hui], Xu, Y.[Yong], Xu, R.[Ruotao],
Image Smoothing via Multiscale Global Perception,
SPLetters(31), 2024, pp. 411-415.
IEEE DOI 2402
Smoothing methods, Image edge detection, Tensors, Filtering, Feature extraction, Decoding, Computer architecture, Deep learning, multi-scale analysis BibRef

Yang, Y.[Yang], Sun, Y.[Yue], Gao, W.[Wei], Wang, X.Y.[Xin-Yu], Zeng, L.[Lanling],
Bilateral regularized optimization model for edge-preserving image smoothing,
IVC(146), 2024, pp. 105031.
Elsevier DOI 2405
Edge-preserving, Image smoothing, Bilateral regularization, Fixed point iteration BibRef

He, L.[Lei], Xie, Y.F.[Yong-Fang], Xie, S.[Shiwen], Jiang, Z.H.[Zhao-Hui], Chen, Z.P.[Zhi-Peng],
Iterative Self-Guided Image Filtering,
CirSysVideo(34), No. 8, August 2024, pp. 7537-7549.
IEEE DOI 2408
Image edge detection, Smoothing methods, Information filters, Optimization methods, Nonlinear filters, local filtering methods BibRef

Zhang, S.Y.[Shu-Yan], Ma, Y.[Yong], Shang, E.[Erping], Yao, W.[Wutao], Qiao, K.[Ke], Peng, J.[Jian], Yang, J.[Jin], Feng, C.[Chun],
Production of Annual Nighttime Light Based on De-Difference Smoothing Algorithm,
RS(16), No. 16, 2024, pp. 3013.
DOI Link 2408
BibRef

Dong, W.Z.[Wen-Zheng], Zeng, L.[Lanling], Ji, S.L.[Shun-Li], Yang, Y.[Yang],
Gaussian error loss function for image smoothing,
IVC(152), 2024, pp. 105300.
Elsevier DOI 2412
Loss function, Edge-preserving, Image smoothing, Global optimization BibRef

Reddy, N.K.K.[Nareddy Kartheek Kumar], Bulusu, M.M.[Mani Madhoolika], Pokala, P.K.[Praveen Kumar], Seelamantula, C.S.[Chandra Sekhar],
Quantized Proximal Averaging Networks for Compressed Image Recovery,
ECV23(4633-4643)
IEEE DOI 2309
BibRef

Otsuka, T.[Tomoki], Fukushima, N.[Norishige], Maeda, Y.[Yoshihiro], Sugimoto, K.[Kenjiro], Kamata, S.I.[Sei-Ichiro],
Optimization of Sliding-DCT Based Gaussian Filtering for Hardware Accelerator,
VCIP20(423-426)
IEEE DOI 2102
Discrete cosine transforms, Acceleration, Kernel, Finite impulse response filters, Transforms, Hardware, constant-time Gaussian filter BibRef

Abidi, L.E.A.E., Hanine, M., Aksasse, B.,
Smooth Filters for Improving Prony's Method in Labview Environment,
ISCV20(1-4)
IEEE DOI 2011
Butterworth filters, smoothing circuits, smoothing methods, virtual instrumentation, Labview environment, LabVIEW environment BibRef

Zhang, L.M.[Lv-Min], Li, C.Z.[Cheng-Ze], Ji, Y.[Yi], Liu, C.P.[Chun-Ping], Wong, T.T.[Tien-Tsin],
Erasing Appearance Preservation in Optimization-based Smoothing,
ECCV20(VI:55-70).
Springer DOI 2011
BibRef

Liu, J., Yan, M., Zeng, J., Zeng, T.,
Image Smoothing Via Gradient Sparsity and Surface Area Minimization,
ICIP19(1114-1118)
IEEE DOI 1910
Image smoothing, L0 sparsity, surface area, edge-preserving BibRef

Liu, B., Lu, X.,
A Shape-Aware Structure-Preserving Texture Smoothing Algorithm,
ICIP19(1138-1142)
IEEE DOI 1910
line shift, texture smoothing, joint bilateral filtering, structure-preserving, learning-based edge detection BibRef

Welk, M.[Martin], Weickert, J.[Joachim],
PDE Evolutions for M-Smoothers: From Common Myths to Robust Numerics,
SSVM19(236-248).
Springer DOI 1909
BibRef

Zhang, X.L.[Xiao-Liu], Chen, C.[Cheng], Chang, G.[Gregory], Saha, P.K.[Punam K.],
Shape-Based Smoothing of Binary Digital Objects Using Signed Distance Transform,
ISVC18(576-584).
Springer DOI 1811
BibRef

Lu, K.[Kaiyue], You, S.[Shaodi], Barnes, N.M.[Nick M.],
Deep Texture and Structure Aware Filtering Network for Image Smoothing,
ECCV18(II: 229-245).
Springer DOI 1810
BibRef

Jaouen, V., Gaubert, L., Bert, J., Hatt, M., Visvikis, D.,
Image Filtering with Advectors,
ICIP18(1513-1517)
IEEE DOI 1809
Image edge detection, Noise reduction, Electric shock, Smoothing methods, Stochastic processes, AWGN, Heating systems, shock filter BibRef

Akai, Y., Shibata, T., Matsuoka, R., Okuda, M.,
L_0 Smoothing Based on Gradient Constraints,
ICIP18(3943-3947)
IEEE DOI 1809
Smoothing methods, Minimization, Image edge detection, Indexes, Color, Optimization, Convex functions, Image smoothing, ADMM BibRef

Lu, K., You, S., Barnes, N.,
Double-Guided Filtering: Image Smoothing with Structure and Texture Guidance,
DICTA17(1-8)
IEEE DOI 1804
edge detection, image filtering, image texture, smoothing methods, DGF, double-guided filtering, image structure, Smoothing methods BibRef

Cai, B., Xing, X., Xu, X.,
Edge/structure preserving smoothing via relativity-of-Gaussian,
ICIP17(250-254)
IEEE DOI 1803
Dogs, Image edge detection, Kernel, Optimization, Smoothing methods, TV, Tools, Image smoothing, edge/structure preserving, relative-of-Gaussian BibRef

Eilers, P.H.C., Pesendorfer, V., Bonifacio, R.,
Automatic smoothing of remote sensing data,
MultiTemp17(1-3)
IEEE DOI 1712
interpolation, remote sensing, sparse matrices, time series, L-curve, V-curve, Whittaker smoother, automatic smoothing, data points, Tools BibRef

Kat, R., Jevnisek, R.J.[Roy J.], Avidan, S.[Shai],
Matching Pixels Using Co-occurrence Statistics,
CVPR18(1751-1759)
IEEE DOI 1812
Image color analysis, Measurement uncertainty, Strain, Standards, Euclidean distance, Matched filters BibRef

Jevnisek, R.J.[Roy J.], Avidan, S.[Shai],
Co-occurrence Filter,
CVPR17(3816-3824)
IEEE DOI 1711
Applied to smoothing. Color, Detectors, Gaussian noise, Image edge detection, Information filters, Smoothing, methods BibRef

Barron, J.T.[Jonathan T.], Poole, B.[Ben],
The Fast Bilateral Solver,
ECCV16(III: 617-632).
Springer DOI 1611
Award, ECCV, HM. 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

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

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., 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., 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 .