5.1.7 Adaptive Filters

Chapter Contents (Back)
Adaptive Filters.

Yang, G.Z., Burger, P., Firmin, D.N., Underwood, S.R.,
Structure Adaptive Anisotropic Image Filtering,
IVC(14), No. 2, March 1996, pp. 135-145.
Elsevier DOI 9607
BibRef
Earlier:
Structure adaptive anisotropic filtering for magnetic resonance image enhancement,
CAIP95(384-391).
Springer DOI 9509
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Tan, A.C., Chen, S.T., Basu, S.,
Image Filtering Using Hyperstable Adaptive Algorithms,
CirSysSignal(44), No. 5, May 1997, pp. 358-370. 9706
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Ghaderi, M.[Mohsen],
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US_Patent5,481,628, Jan 2, 1996
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Marroquin, J.L., Servin, M., Rodriguez-Vera, R.,
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Marroquin, J.L., Servin, M., Rodriguez-Vera, R.,
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Perry, R., Bull, D.R., Nix, A.,
Efficient adaptive complex filtering algorithm with application to channel equalisation,
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Kumura, T., Iiguni, Y., Maeda, H.,
Convergence performance of adaptive lattice filters with nonlinear parameter updates,
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Togami, T., Iiguni, Y.,
Convergence analysis of the adaptive lattice filter for a mixed Gaussian input sequence,
VISP(151), No. 5, October 2004, pp. 428-433.
IEEE Abstract. 0501
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Sakai, H., Hori, S.,
Stabilisation of fast QRD inverse-updates adaptive filtering algorithm,
VISP(148), No. 2, April 2001, pp. 107-114. 0106
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Al-Naffouri, T.Y.[Tareq Y.], Sayed, A.H.[Ali H.],
Adaptive Filters with Error Nonlinearities: Mean-Square Analysis and Optimum Design,
JASP(2001), No. 4, December 2001, pp. 192-205. 0201
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Al-Naffouri, T.Y., Moinuddin, M., Sohail, M.S.,
Mean Weight Behavior of the NLMS Algorithm for Correlated Gaussian Inputs,
SPLetters(18), No. 1, January 2011, pp. 7-10.
IEEE DOI 1011
BibRef

Petraglia, M.R., Torres, J.C.B.,
Performance analysis of adaptive filter structure employing wavelet and sparse subfilters,
VISP(149), No. 2, April 2002, pp. 115-119.
IEEE Top Reference. 0208
BibRef

Geusebroek, J.M., Smeulders, A.W.M., van de Weijer, J.[Joost],
Fast Anisotropic Gauss Filtering,
IP(12), No. 8, August 2003, pp. 938-943.
IEEE DOI 0308
BibRef
Earlier: ECCV02(I: 99 ff.).
Springer DOI 0205
BibRef

Chen, S.,
Adaptive minimum bit-error-rate filtering,
VISP(151), No. 1, February 2004, pp. 76-85.
IEEE Abstract. 0403
Rather than MMSE (minimum mean-squared error). BibRef

Hong, S., Bolic, M., Djuric, P.M.,
An Efficient Fixed-Point Implementation of Residual Resampling Scheme for High-Speed Particle Filters,
SPLetters(11), No. 5, May 2004, pp. 482-485.
IEEE Abstract. 0404
BibRef

Gong, Y., Cowan, C.F.N.,
Structure adaptation of linear MMSE adaptive filters,
VISP(151), No. 4, August 2004, pp. 271-277.
IEEE Abstract. 0411
BibRef

Kelloniemi, A., Savioja, L., Valimaki, V.,
Spatial Filter-Based Absorbing Boundary for the 2-D Digital Waveguide Mesh,
SPLetters(12), No. 2, February 2005, pp. 126-129.
IEEE Abstract. 0501
BibRef

van der Heijden, F.,
Consistency Checks for Particle Filters,
PAMI(28), No. 1, January 2006, pp. 140-145.
IEEE DOI 0512
Inconsistent filter leads to larger estimation errors. BibRef

Yin, H.B.[Hai Bing], Fang, X.Z.[Xiang Zhong], Wei, Z.[Zhang], Yang, X.K.,
An Improved Motion-Compensated 3-D LLMMSE Filter With Spatio-Temporal Adaptive Filtering Support,
CirSysVideo(17), No. 12, December 2007, pp. 1714-1727.
IEEE DOI 0712
MMSE: minimum mean-squared error BibRef

Shao, L.[Ling], Zhang, H., de Haan, G.[Gerard],
An Overview and Performance Evaluation of Classification-Based Least Squares Trained Filters,
IP(17), No. 10, October 2008, pp. 1772-1782.
IEEE DOI 0809
BibRef

Zakharov, Y.V.,
Low-Complexity Implementation of the Affine Projection Algorithm,
SPLetters(15), No. 1, 2008, pp. 557-560.
IEEE DOI 0811
BibRef

Chen, T., Zakharov, Y.V., Liu, C.,
Low-Complexity Channel-Estimate Based Adaptive Linear Equalizer,
SPLetters(18), No. 7, July 2011, pp. 427-430.
IEEE DOI 1101
BibRef

Kim, S.E., Choi, Y.S., Song, M.K., Song, W.J.,
A Subband Adaptive Filtering Algorithm Employing Dynamic Selection of Subband Filters,
SPLetters(17), No. 1, January 2010, pp. 245-248.
IEEE DOI 1001
BibRef

Vigneron, V., Syed, T.Q., Barlovatz-Meimon, G., Malo, M., Montagne, C., Lelandais, S.,
Adaptive filtering and hypothesis testing: Application to cancerous cells detection,
PRL(31), No. 14, 15 October 2010, pp. 2214-2224.
Elsevier DOI 1003
Adaptive filtering; Maximum likelihood test; Microscopic imagery; Object detection; Image preprocessing BibRef

Subbu, A.[Aparna], Srivastav, A.[Abhishek], Ray, A.[Asok], Keller, E.[Eric],
Symbolic dynamic filtering for image analysis: Theory and experimental validation,
SIViP(4), No. 3, September 2010, pp. 319-329.
WWW Link. 1011
Symbolic dynamic filtering (SDF) of one-dimensional time-series data applies to anomaly detection. Extend to 2-D. BibRef

Chakraborty, S.[Subhadeep], Ray, A.[Asok], Subbu, A.[Aparna], Keller, E.[Eric],
Analytic signal space partitioning and symbolic dynamic filtering for degradation monitoring of electric motors,
SIViP(4), No. 4, November 2010, pp. 399-403.
WWW Link. 1101
BibRef

Wen, Y.C.[Yi-Cheng], Ray, A.[Asok], Du, Q.A.[Qi-Ang],
A variance-estimation-based stopping rule for symbolic dynamic filtering,
SIViP(7), No. 1, January 2013, pp. 189-195.
WWW Link. 1301
BibRef

Louchet, C.[Cécile], Moisan, L.[Lionel],
Total Variation as a Local Filter,
SIIMS(4), No. 2, 2011, pp. 651-694.
WWW Link. 1110
BibRef

Xia, Y.[Yili], Mandic, D.P., Sayed, A.H.,
An Adaptive Diffusion Augmented CLMS Algorithm for Distributed Filtering of Noncircular Complex Signals,
SPLetters(18), No. 11, November 2011, pp. 659-662.
IEEE DOI 1112
BibRef

Xia, Y.[Yili], Mandic, D.P.,
Complementary Mean Square Analysis of Augmented CLMS for Second-Order Noncircular Gaussian Signals,
SPLetters(24), No. 9, September 2017, pp. 1413-1417.
IEEE DOI 1708
Convergence, Covariance matrices, Estimation, Stability analysis, Standards, Steady-state, Transient analysis, Augmented complex least mean square, complementary mean square analysis, second-order, noncircularity BibRef

Faisan, S.[Sylvain], Heinrich, C.[Christian], Rousseau, F.[François], Lallement, A.[Alex], Zallat, J.[Jihad],
Joint filtering estimation of Stokes vector images based on a nonlocal means approach,
JOSA-A(29), No. 9, September 2012, pp. 2028-2037.
DOI Link 1209
BibRef

Yang, F.R.[Fei-Ran], Wu, M.[Ming], Ji, P.F.[Pei-Feng], Yang, J.[Jun],
An Improved Multiband-Structured Subband Adaptive Filter Algorithm,
SPLetters(19), No. 10, October 2012, pp. 647-650.
IEEE DOI 1209
BibRef

Jeong, J.J.[Jae Jin], Koo, K.[Keunhwi], Choi, G.T.[Gyu Tae], Kim, S.W.[Sang Woo],
A Variable Step Size for Normalized Subband Adaptive Filters,
SPLetters(19), No. 12, December 2012, pp. 906-909.
IEEE DOI 1212
BibRef

Lee, J.[Junghsi], Huang, H.C.[Hsu-Chang],
On the Step-Size Bounds of Frequency-Domain Block LMS Adaptive Filters,
SPLetters(20), No. 1, January 2013, pp. 23-26.
IEEE DOI 1212
BibRef

Shin, J.W.[Jae-Wook], Yoo, J.W.[Jin-Woo], Park, P.G.[Poo-Gyeon],
Variable Step-Size Sign Subband Adaptive Filter,
SPLetters(20), No. 2, February 2013, pp. 173-176.
IEEE DOI 1302
BibRef

Liu, R.S.[Ri-Sheng], Lin, Z.C.[Zhou-Chen], Zhang, W.[Wei], Tang, K.W.[Ke-Wei], Su, Z.X.[Zhi-Xun],
Toward designing intelligent PDEs for computer vision: An optimal control approach,
IVC(31), No. 1, January 2013, pp. 43-56.
Elsevier DOI 1302
Optimal control; PDEs; Image processing BibRef

Kang, B.H.[Byung Hoon], Park, P.G.[Poo Gyeon],
An Efficient Line-Search Algorithm for Unbiased Recursive Least-Squares Filtering With Noisy Inputs,
SPLetters(20), No. 7, 2013, pp. 693-696.
IEEE DOI 1307
recursive filters; unbiased RLS estimate BibRef

Li, M.D.[Ma-Ding], Liu, J.Y.[Jia-Ying], Ren, J.[Jie], Guo, Z.M.[Zong-Ming],
Patch-based image deblocking using geodesic distance weighted low-rank approximation,
VCIP14(101-104)
IEEE DOI 1504
approximation theory BibRef

Zhang, Y.Q.[Yong-Qin], Liu, J.Y.[Jia-Ying], Yang, S., Guo, Z.M.[Zong-Ming],
Joint image denoising using self-similarity based low-rank approximations,
VCIP13(1-6)
IEEE DOI 1402
Wiener filters BibRef

Castoldi, F.T., de Campos, M.L.R.,
Application of a Minimum-Disturbance Description to Constrained Adaptive Filters,
SPLetters(20), No. 12, 2013, pp. 1215-1218.
IEEE DOI 1311
Hessian matrices BibRef

de Lamare, R.C., Sampaio-Neto, R.,
Sparsity-Aware Adaptive Algorithms Based on Alternating Optimization and Shrinkage,
SPLetters(21), No. 2, February 2014, pp. 225-229.
IEEE DOI 1402
adaptive filters BibRef

Kar, A.[Asutosh], Chandra, M.[Mahesh],
A minimised complexity dynamic structure adaptive filter design for improved steady state performance analysis,
IJCVR(3), No. 3, 2013, pp. 326-340.
DOI Link 1402
BibRef

Eweda, E.[Eweda], Bershad, N.J.[Neil J.], Bermudez, J.C.M.[Jose C. M.],
Stochastic analysis of the least mean fourth algorithm for non-stationary white Gaussian inputs,
SIViP(8), No. 1, January 2014, pp. 133-142.
Springer DOI 1402
BibRef

Sen, P., Yilmaz, A.O.,
Factor Graph Based LMMSE Filtering for Colored Gaussian Processes,
SPLetters(21), No. 10, October 2014, pp. 1206-1210.
IEEE DOI 1407
Colored noise BibRef

Shi, L.M.[Li-Ming], Lin, Y.[Yun],
Convex Combination of Adaptive Filters under the Maximum Correntropy Criterion in Impulsive Interference,
SPLetters(21), No. 11, November 2014, pp. 1385-1388.
IEEE DOI 1408
adaptive filters BibRef

Çigla, C.[Cevahir], Alatan, A.A.[A. Aydin],
An efficient recursive edge-aware filter,
SP:IC(29), No. 9, 2014, pp. 998-1014.
Elsevier DOI 1410
Content adaptive filtering BibRef

Liu, J., Li, H., Himed, B.,
Threshold Setting for Adaptive Matched Filter and Adaptive Coherence Estimator,
SPLetters(22), No. 1, January 2015, pp. 11-15.
IEEE DOI 1410
adaptive filters BibRef

Besson, O.,
On False Alarm Rate of Matched Filter Under Distribution Mismatch,
SPLetters(22), No. 2, February 2015, pp. 167-171.
IEEE DOI 1410
Gaussian processes BibRef

Ieng, S.H.[Sio-Hoi], Chang, R.[Richard], Benosman, R.[Ryad],
Asynchronous Neuromorphic Event-Driven Image Filtering,
PIEEE(102), No. 10, October 2014, pp. 1485-1499.
IEEE DOI 1410
BibRef
Earlier: A2, A1, A3:
Shapes to synchronize camera networks,
ICPR08(1-4).
IEEE DOI 0812
BibRef
And: A2, A1, A3:
Synchronization Using Shapes,
BMVC08(xx-yy).
PDF File. 0809
BibRef

Sabatier, Q., Ieng, S.H.[Sio-Hoi], Benosman, R.[Ryad],
Asynchronous Event-Based Fourier Analysis,
IP(26), No. 5, May 2017, pp. 2192-2202.
IEEE DOI 1704
Algorithm design and analysis BibRef

Deboeverie, F.[Francis], Kleihorst, R.[Richard], Milanfar, P.[Peyman],
Data-adaptive Filtering and the State of the Art in Image Processing,
SPIE(Newsroom), October 10, 2014.
DOI Link 1501
A plenary talk from SPIE Optics + Photonics 2014. BibRef

Chen, B.D.[Ba-Dong], Wang, J.J.[Jian-Ji], Zhao, H.Q.[Hai-Quan], Zheng, N.N.[Nan-Ning], Principe, J.C.,
Convergence of a Fixed-Point Algorithm under Maximum Correntropy Criterion,
SPLetters(22), No. 10, October 2015, pp. 1723-1727.
IEEE DOI 1506
adaptive filters BibRef

Chen, B.D.[Ba-Dong], Wang, X.[Xin], Li, Y.S.[Ying-Song], Principe, J.C.[Jose C.],
Maximum Correntropy Criterion With Variable Center,
SPLetters(26), No. 8, August 2019, pp. 1212-1216.
IEEE DOI 1908
Gaussian processes, optimisation, linear-in-parameter model, kernel width, MCC-VC, optimization criterion, robust learning BibRef

Ni, J.G.[Jin-Gen],
Diffusion Sign Subband Adaptive Filtering Algorithm for Distributed Estimation,
SPLetters(22), No. 11, November 2015, pp. 2029-2033.
IEEE DOI 1509
adaptive filters BibRef

Hsia, S.C.[Shih-Chang], Hsu, W.C.[Wei-Chih], Tsai, C.L.[Cheng-Liang],
High-efficiency TV video noise reduction through adaptive spatial-temporal frame filtering,
RealTimeIP(10), No. 3, September 2015, pp. 561-572.
Springer DOI 1509
BibRef

Arenas-Garcia, J., Azpicueta-Ruiz, L., Silva, M., Nascimento, V., Sayed, A.,
Combinations of Adaptive Filters: Performance and convergence properties,
SPMag(33), No. 1, January 2016, pp. 120-140.
IEEE DOI 1601
BibRef

Deng, G.,
Edge-Aware BMA Filters,
IP(25), No. 1, January 2016, pp. 439-454.
IEEE DOI 1601
Bayesian model averaging. Bayes methods BibRef

Zhang, H., Yu, L., Xia, G.S.,
Iterative Time-Frequency Filtering of Sinusoidal Signals With Updated Frequency Estimation,
SPLetters(23), No. 1, January 2016, pp. 139-143.
IEEE DOI 1601
Algorithm design and analysis BibRef

Bartyzel, K.[Krzysztof],
Adaptive Kuwahara filter,
SIViP(10), No. 4, April 2016, pp. 663-670.
WWW Link. 1604
BibRef

Nascimento, V.H., Zakharov, Y.V.,
RLS Adaptive Filter With Inequality Constraints,
SPLetters(23), No. 5, May 2016, pp. 752-756.
IEEE DOI 1604
Approximation algorithms BibRef

Zheng, Z., Zhao, H.,
Bias-Compensated Normalized Subband Adaptive Filter Algorithm,
SPLetters(23), No. 6, June 2016, pp. 809-813.
IEEE DOI 1606
adaptive filters BibRef

Lopes, W.B., Al-Nuaimi, A., Lopes, C.G.,
Geometric-Algebra LMS Adaptive Filter and Its Application to Rotation Estimation,
SPLetters(23), No. 6, June 2016, pp. 858-862.
IEEE DOI 1606
adaptive filters BibRef

Lu, L.[Lu], Zhao, H.Q.[Hai-Quan], Chen, C.X.[Chen-Xi],
A new normalized subband adaptive filter under minimum error entropy criterion,
SIViP(10), No. 6, June 2016, pp. 1097-1103.
WWW Link. 1608
BibRef

Tan, X.[Xiao], Sun, C.M.[Chang-Ming], Pham, T.D.[Tuan D.],
Edge-Aware Filtering with Local Polynomial Approximation and Rectangle-Based Weighting,
Cyber(46), No. 12, December 2016, pp. 2693-2705.
IEEE DOI 1612
BibRef
Earlier:
Multipoint Filtering with Local Polynomial Approximation and Range Guidance,
CVPR14(2941-2948)
IEEE DOI 1409
Adaptation models BibRef

Kilic, O.F.[O. Fatih], Sayin, M.O.[M. Omer], Delibalta, I.[Ibrahim], Kozat, S.S.[Suleyman S.],
Computationally highly efficient mixture of adaptive filters,
SIViP(11), No. 2, February 2017, pp. 235-242.
Springer DOI 1702
BibRef

Khalili, A.[Azam], Rastegarnia, A.[Amir], Bazzi, W.M.[Wael M.], Rahmati, R.G.[Reza G.],
Incremental augmented complex adaptive IIR algorithm for training widely linear ARMA model,
SIViP(11), No. 3, March 2017, pp. 493-500.
Springer DOI 1702
BibRef

Khalili, A.[Azam],
Diffusion augmented complex adaptive IIR algorithm for training widely linear ARMA models,
SIViP(12), No. 6, September 2018, pp. 1079-1086.
WWW Link. 1808
BibRef

Hatun, M.[Metin], Koçal, O.H.[Osman Hilmi],
Stochastic convergence analysis of recursive successive over-relaxation algorithm in adaptive filtering,
SIViP(11), No. 1, January 2017, pp. 137-144.
WWW Link. 1702
BibRef

Shi, L.[Long], Zhao, H.Q.[Hai-Quan],
L1-norm constrained normalized subband adaptive filter algorithm with variable norm-bound parameter and improved version,
SIViP(11), No. 5, July 2017, pp. 865-871.
Springer DOI 1706
BibRef

Barbero, S.[Sergio], Portilla, J.[Javier],
Simulating real-world scenes viewed through ophthalmic lenses,
JOSA-A(34), No. 8, August 2017, pp. 1301-1308.
DOI Link 1708
Ophthalmic optics and devices, Physiological optics, Optical effects on vision, Visual optics, modeling BibRef

Schaffner, M., Scheidegger, F., Cavigelli, L., Kaeslin, H., Benini, L., Smolic, A.,
Towards Edge-Aware Spatio-Temporal Filtering in Real-Time,
IP(27), No. 1, January 2018, pp. 265-280.
IEEE DOI 1712
IIR filters, approximation theory, filtering theory, image motion analysis, image sampling, image sequences, spatio-temporal filter BibRef

Schmitt, L., Fichter, W.,
Cramer-Rao Lower Bound for State-Constrained Nonlinear Filtering,
SPLetters(24), No. 12, December 2017, pp. 1882-1885.
IEEE DOI 1712
filtering theory, mean square error methods, nonlinear filters, position measurement, random processes, state estimation, velocity measurement BibRef

Zhang, X.[Xie], Peng, S.Y.[Si-Yuan], Wu, Z.Z.[Zong-Ze], Zhou, Y.J.[Ya-Jing], Fu, Y.[Yuli],
An improved proportionate least mean p-power algorithm for adaptive filtering,
SIViP(12), No. 1, January 2018, pp. 59-66.
Springer DOI 1801
BibRef

Yu, Y.[Yi], Zhao, H.Q.[Hai-Quan], Lu, L.[Lu],
Steady-state behavior of the improved normalized subband adaptive filter algorithm and its improvement in under-modeling,
SIViP(12), No. 4, May 2018, pp. 617-624.
WWW Link. 1805
BibRef

Shen, Z.J.[Zi-Jie], Huang, T.M.[Tian-Min], Zhou, K.[Kun],
L0-norm constraint normalized logarithmic subband adaptive filter algorithm,
SIViP(12), No. 5, July 2018, pp. 861-868.
WWW Link. 1806
BibRef

Cai, W.L.[Wei-Ling], Yang, M.[Ming], Song, F.Y.[Feng-Yi],
Image filtering method using trimmed statistics and edge preserving,
IET-IPR(12), No. 7, July 2018, pp. 1086-1094.
DOI Link 1806
BibRef

Peng, L., Li, X., Bi, D., Xie, Y.,
Robust Adaptive Filtering With q-Gaussian Kernel Mean p-Power Error,
SPLetters(25), No. 9, September 2018, pp. 1335-1339.
IEEE DOI 1809
adaptive filters, filtering theory, Gaussian noise, learning (artificial intelligence), recursive filters, robust learning BibRef

Gao, L., Li, X., Bi, D., Xie, Y.,
A q-Gaussian Maximum Correntropy Adaptive Filtering Algorithm for Robust Sparse Recovery in Impulsive Noise,
SPLetters(25), No. 12, December 2018, pp. 1770-1774.
IEEE DOI 1812
adaptive filters, Gaussian processes, gradient methods, image denoising, image filtering, image reconstruction, robust sparse recovery BibRef

Shen, X., Song, Z., Fan, H., Fu, Q.,
General Bernoulli Filter for Arbitrary Clutter and Target Measurement Processes,
SPLetters(25), No. 10, October 2018, pp. 1525-1529.
IEEE DOI 1810
Bayes methods, filtering theory, object detection, radar tracking, target tracking, tracking filters, over-the-horizon radar, measurement process BibRef

Lara, P.[Pedro], Igreja, F.[Filipe], Tarrataca, L.D.T.J.[Luís D.T.J.], Haddad, D.B.[Diego Barreto], Petraglia, M.R.[Mariane R.],
Exact Expectation Evaluation and Design of Variable Step-Size Adaptive Algorithms,
SPLetters(26), No. 1, January 2019, pp. 74-78.
IEEE DOI 1901
adaptive filters, convergence of numerical methods, least mean squares methods, statistical analysis, exact expectation analysis BibRef

Li, Y.J.[Yi-Jun], Huang, J.B.[Jia-Bin], Ahuja, N.[Narendra], Yang, M.H.[Ming-Hsuan],
Joint Image Filtering with Deep Convolutional Networks,
PAMI(41), No. 8, August 2019, pp. 1909-1923.
IEEE DOI 1907
For noise supression or resolution enhancement. Feature extraction, Linear programming, Task analysis, Visualization, Optimization, Image edge detection, depth upsampling BibRef

Shi, L.[Long], Zhao, H.Q.[Hai-Quan], Zakharov, Y.[Yuriy],
Performance Analysis of Shrinkage Linear Complex-Valued LMS Algorithm,
SPLetters(26), No. 8, August 2019, pp. 1202-1206.
IEEE DOI 1908
adaptive filters, adaptive signal processing, filtering theory, least mean squares methods, shrinkage BibRef

Li, W.J.[Wu-Jing], He, W.[Wei], Ou, X.F.[Xian-Feng], Hu, W.J.[Wen-Jing], Wu, J.H.[Jian-Hui], Zhang, G.Y.[Guo-Yun],
Fast combination filtering based on weighted fusion,
JVCIR(62), 2019, pp. 226-233.
Elsevier DOI 1908
Filter, Linear combination, Multi-scale, Edge preserving BibRef

Talebi, S.P., Werner, S., Mandic, D.P.,
Complex-Valued Nonlinear Adaptive Filters With Applications in alpha-Stable Environments,
SPLetters(26), No. 9, September 2019, pp. 1315-1319.
IEEE DOI 1909
adaptive filters, filtering theory, nonlinear filters, signal processing, statistical analysis, fractional-order adaptive filtering BibRef

Mack, W., Habets, E.A.P.,
Deep Filtering: Signal Extraction and Reconstruction Using Complex Time-Frequency Filters,
SPLetters(27), 2020, pp. 61-65.
IEEE DOI 2001
Time-frequency analysis, Interference, Customer relationship management, Image reconstruction, time-frequency masking BibRef

Hua, F., Richard, C., Chen, J., Wang, H., Borgnat, P., Gonçalves, P.,
Learning Combination of Graph Filters for Graph Signal Modeling,
SPLetters(26), No. 12, December 2019, pp. 1912-1916.
IEEE DOI 2001
convex programming, directed graphs, filtering theory, learning (artificial intelligence), signal processing, group sparsity BibRef

Kim, S.J.[Si-Jung], Song, C.[Changho], Jang, J.[Jinbeum], Paik, J.[Joonki],
Edge-aware image filtering using a structure-guided CNN,
IET-IPR(14), No. 3, 28 February 2020, pp. 472-479.
DOI Link 2002
BibRef

Xu, L.J.[Li-Juan], Wang, F.[Fan], Dempere-Marco, L.[Laura], Wang, Q.[Qi], Yang, Y.[Yan], Hu, X.P.[Xiao-Peng],
Path-Based Analysis for Structure-Preserving Image Filtering,
JMIV(62), No. 2, February 2020, pp. 253-271. 2002
BibRef

Lara, P.[Pedro], Haddad, D.B.[Diego B.], Tarrataca, L.[Luís],
Advances on the analysis of the LMS algorithm with a colored measurement noise,
SIViP(14), No. 3, April 2020, pp. 529-536.
Springer DOI 2004
BibRef

Bhattacharjee, S.S., Kumar, K., George, N.V.,
Nearest Kronecker Product Decomposition Based Generalized Maximum Correntropy and Generalized Hyperbolic Secant Robust Adaptive Filters,
SPLetters(27), 2020, pp. 1525-1529.
IEEE DOI 2009
Adaptive filters, correntropy, maximum correntropy criteria, Kronecker product, system identification BibRef

Gogineni, V.C., Talebi, S.P., Werner, S., Mandic, D.P.,
Fractional-Order Correntropy Adaptive Filters for Distributed Processing of Alpha-Stable Signals,
SPLetters(27), 2020, pp. 1884-1888.
IEEE DOI 2011
Convergence, Signal processing algorithms, Calculus, Random processes, Measurement uncertainty, Adaptation models, fractional-order calculus BibRef

Bu, P.H.[Peng-Hui], Zhao, H.[Hong], Jin, Y.S.[Yu-Sheng], Ma, Y.Y.[Yue-Yang],
Linear Recursive Non-Local Edge-Aware Filter,
CirSysVideo(31), No. 5, 2021, pp. 1751-1763.
IEEE DOI 2105
BibRef

Liu, C.[Chong], Yang, C.[Cui], Wang, J.[Jun],
Window-aware guided image filtering via local entropy,
IET-IPR(15), No. 7, 2021, pp. 1459-1470.
DOI Link 2106
BibRef

Jiang, F.[Feng], Chen, Z.Y.[Zhi-Yuan], Nazir, A.[Amril], Shi, W.Z.[Wu-Zhen], Lim, W.X.[Wei-Xiang], Liu, S.H.[Shao-Hui], Rho, S.M.[Seung-Min],
Combining Fields of Experts (FoE) and K-SVD methods in pursuing natural image priors,
JVCIR(78), 2021, pp. 103142.
Elsevier DOI 2107
FoE, K-SVD, Adaptive filters, Joint statistical prior, Nature image priors BibRef

Tu, W.C.[Wei-Chih], Chien, S.Y.[Shao-Yi],
Two-Way Recursive Filtering,
CirSysVideo(31), No. 11, November 2021, pp. 4255-4268.
IEEE DOI 2112
Image segmentation, Image edge detection, Transforms, Filtering, Task analysis, spatial propagation networks BibRef

Yin, H.[Hui], Zhou, F.[Fei], Li, B.[Bin],
Metric of choosing the optimal parameter setting for edge aware filtering,
IET-IPR(16), No. 2, 2022, pp. 453-469.
DOI Link 2201
BibRef

Zhang, X.[Xiao], Ding, F.[Feng],
Optimal Adaptive Filtering Algorithm by Using the Fractional-Order Derivative,
SPLetters(29), 2022, pp. 399-403.
IEEE DOI 2202
Signal processing algorithms, Finite impulse response filters, Convergence, Colored noise, Mathematical models, Estimation, fractional-order derivative BibRef

Lin, D.Y.[Dong-Yuan], Zhang, Q.Q.[Qiang-Qiang], Chen, S.[Shanmou], Wang, S.Y.[Shi-Yuan],
The Generalized HR q-Derivative and Its Application to Quaternion Least Mean Square Algorithm,
SPLetters(29), No. 2022, pp. 857-861.
IEEE DOI 2204
Quaternions, Signal processing algorithms, Prediction algorithms, Cost function, Calculus, Signal processing, q-QLMS BibRef

Cui, W.C.[Wei-Chen], Wang, T.[Tong], Wang, D.[Degen], Liu, K.[Kun],
An Efficient Sparse Bayesian Learning STAP Algorithm with Adaptive Laplace Prior,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
Space-time adaptive processing. BibRef

Qu, H.[Hua], Wang, M.[Meng], Zhao, J.H.[Ji-Hong], Zhao, S.Y.[Shu-Yuan], Li, T.[Taihao], Yue, P.C.[Peng-Cheng],
Generalized Asymmetric Correntropy for Robust Adaptive Filtering: A Theoretical and Simulation Study,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Hou, X.[Xinyan], Zhao, H.Q.[Hai-Quan], Long, X.Q.[Xiao-Qiang],
An Innovative Transient Analysis of Adaptive Filter With Maximum Correntropy Criterion,
SPLetters(29), 2022, pp. 1689-1693.
IEEE DOI 2208
Signal processing algorithms, Transient analysis, Noise measurement, Behavioral sciences, Steady-state, Kernel, performance analysis BibRef

Tiglea, D.G.[Daniel G.], Candido, R.[Renato], Silva, M.T.M.[Magno T. M.],
A Variable Step Size Adaptive Algorithm With Simple Parameter Selection,
SPLetters(29), 2022, pp. 1774-1778.
IEEE DOI 2208
Steady-state, Signal processing algorithms, Convergence, Adaptive filters, Filtering algorithms, Prediction algorithms, variable step size BibRef

Li, L.[Lei], Pu, Y.F.[Yi-Fei], Xie, X.T.[Xue-Tao],
Performance Analysis of Fractional-Order Adaptive Filtering Algorithm and Its Improvement,
SPLetters(29), 2022, pp. 1853-1857.
IEEE DOI 2209
Signal processing algorithms, Steady-state, Transient analysis, Performance analysis, Behavioral sciences, Convergence, heavy-tailed distribution BibRef

Shipitsin, V.[Viktor], Bespalov, I.[Iaroslav], Dylov, D.V.[Dmitry V.],
GAFL: Global adaptive filtering layer for computer vision,
CVIU(223), 2022, pp. 103519.
Elsevier DOI 2210
Adaptive neural layer, Efficient training, Fourier filtering BibRef

Valero, M.L.[M. Luis], Mabande, E., Habets, E.A.P.[E. A. P.],
An Alternative Complexity Reduction Method for Partitioned-Block Frequency-Domain Adaptive Filters,
SPLetters(23), No. 5, May 2016, pp. 668-672.
IEEE DOI 1604
Acoustics BibRef

Yang, F.[Feiran],
Analysis of Unconstrained Partitioned-Block Frequency-Domain Adaptive Filters,
SPLetters(29), 2022, pp. 2377-2381.
IEEE DOI 2212
Time-domain analysis, Frequency-domain analysis, Eigenvalues and eigenfunctions, Convergence, Behavioral sciences, steady-state solution BibRef

Abdelrhman, O.M.[Omer M.], Dou, Y.[Yuzi], Li, S.[Sen],
Performance Analysis of the Standard Constrained Maximum Versoria Criterion Based Adaptive Algorithm,
SPLetters(30), 2023, pp. 125-129.
IEEE DOI 2303
Steady-state, Standards, Transient analysis, Signal processing algorithms, Gaussian noise, Adaptive filters, mean-square deviation BibRef

Patel, V.[Vinal], Bhattacharjee, S.S.[Sankha Subhra], Christensen, M.G.[Mads Græsbøll],
Generalized Soft-Root-Sign Based Robust Sparsity-Aware Adaptive Filters,
SPLetters(30), 2023, pp. 200-204.
IEEE DOI 2303
Adaptive filters, Cost function, Signal processing algorithms, Robustness, Costs, Computational modeling, Adaptation models, system identification BibRef

Jain, S.[Sandesh], Majhi, S.[Sudhan],
Sparsity-Constrained Kernel Recursive Generalized Maximum Versoria Criterion Algorithm,
SPLetters(30), 2023, pp. 498-502.
IEEE DOI 2305
Signal processing algorithms, Kernel, Convergence, Machine learning algorithms, Channel estimation, sparse channel estimation BibRef

Zhang, Q.Q.[Qiang-Qiang], Lin, D.Y.[Dong-Yuan], Xiao, Y.Y.[Ying-Ying], Wang, S.Y.[Shi-Yuan],
Augmented Least Lncosh Conjugate Gradient Adaptive Filtering,
SPLetters(30), 2023, pp. 718-722.
IEEE DOI 2307
Prediction algorithms, Training, Signal processing algorithms, Adaptation models, Testing, Robustness, Estimation, least lncosh criterion BibRef

Apicella, A.[Andrea], Isgrò, F.[Francesco], Pollastro, A.[Andrea], Prevete, R.[Roberto],
Adaptive filters in Graph Convolutional Neural Networks,
PR(144), 2023, pp. 109867.
Elsevier DOI 2310
BibRef
And:
Dynamic Local Filters in Graph Convolutional Neural Networks,
CIAP23(II:406-417).
Springer DOI 2312
Graph Convolutional Neural Networks, Deep learning, Dynamic neural networks, Programmable ANNs, Graph structure learning BibRef

Zheng, L.T.[Li-Tao], Yang, F.[Feng], Shi, L.H.[Li-Hong],
Distributed Bernoulli Filter Based on Weighted Conservative Fusion,
SPLetters(31), 2024, pp. 666-670.
IEEE DOI 2403
Estimation, Uncertainty, Radio frequency, Location awareness, Peer-to-peer computing, Target tracking, Protocols, distributed flooding BibRef

Wei, J.X.[Jing-Xin], Luo, F.[Feng], Qi, J.W.[Jia-Wei], Luo, X.X.[Xian-Xian],
Distributed Fusion of Labeled Multi-Bernoulli Filters Based on Arithmetic Average,
SPLetters(31), 2024, pp. 656-660.
IEEE DOI 2403
Radio frequency, Merging, Signal processing algorithms, Target tracking, Partitioning algorithms, random finite set BibRef


Gapp, C.[Christian], Welk, M.[Martin],
Curvature-Based Denoising of Vector-Valued Images,
IWCIA22(270-287).
Springer DOI 2301
Edge preserving denoising. BibRef

Doutsi, E.[Effrosyni], Antonini, M.[Marc], Tsakalides, P.[Panagiotis],
Retina-Inspired Spatio-Temporal Filtering for Dynamic Video Coding,
ICIP22(3321-3325)
IEEE DOI 2211
Video coding, Image coding, Costs, Filtering, Dynamics, Video sequences, Memory management, Center-surround filter, perception-based processing BibRef

Lim, W.Q.[Wang-Q], Pfaff, J.[Jonathan], Stallenberger, B.[Björn], Erfurt, J.[Johannes], Schwarz, H.[Heiko], Marpe, D.[Detlev], Wiegand, T.[Thomas],
Adaptive Loop Filter with a CNN-Based Classification,
ICIP22(1836-1840)
IEEE DOI 2211
Video coding, Adaptive systems, Filtering, Finite impulse response filters, Adaptive filters, Libraries, Wiener filtering BibRef

Wang, Z.[Ze], Miao, Z.C.[Zi-Chen], Hu, J.[Jun], Qiu, Q.[Qiang],
Adaptive Convolutions with Per-pixel Dynamic Filter Atom,
ICCV21(12282-12291)
IEEE DOI 2203
Adaptation models, Costs, Atomic layer deposition, Computational modeling, Adaptive filters, Image restoration, Efficient training and inference methods BibRef

Suzuki, A.[Aiga], Ito, K.[Keiichi], Ibe, T.[Takahide], Otsu, N.[Nobuyuki],
AdaFilter: Adaptive Filter Design with Local Image Basis Decomposition for Optimizing Image Recognition Preprocessing,
ICPR21(2118-2125)
IEEE DOI 2105
Maximum likelihood detection, Image recognition, Adaptive filters, Nonlinear filters, Filtering algorithms, BibRef

Ofir, N.[Nati], Keller, Y.[Yosi],
Multi-scale Processing of Noisy Images using Edge Preservation Losses,
ICPR21(1-8)
IEEE DOI 2105
Training, Runtime, Image edge detection, Noise reduction, Graphics processing units, Robustness, Complexity theory BibRef

Gavaskar, R.G., Chaudhury, K.N.,
Fast Adaptive Bilateral Filtering of Color Images,
ICIP19(180-184)
IEEE DOI 1910
color processing, bilateral filter, fast algorithm, histogram, covariance BibRef

Wu, H., Zheng, S., Zhang, J., Huang, K.,
Fast End-to-End Trainable Guided Filter,
CVPR18(1838-1847)
IEEE DOI 1812
Task analysis, Training, Image resolution, Filtering BibRef

Hristova, H.[Hristina], Le Meur, O.[Olivier], Cozot, R.[Remi], Bouatouch, K.[Kadi],
Multi-purpose bi-local CAT-based guidance filter,
SP:IC(65), 2018, pp. 141-153.
Elsevier DOI 1805
Guidance filter, Chromatic adaptation transform, Image filtering BibRef

Zhang, Y.[Yuan], Xi, S.T.[Song-Tao],
New LMS Adaptive Filtering Algorithm with Variable Step Size,
ICVISP17(1-4)
IEEE DOI 1712
Signal processing, LMS algorithm, MSE, adaptive filter, convergence speed, variable step size adaptive filtering algorithm BibRef

Chao, Y.H., Egilmez, H.E., Ortega, A., Yea, S., Lee, B.,
Edge adaptive graph-based transforms: Comparison of step/ramp edge models for video compression,
ICIP16(1539-1543)
IEEE DOI 1610
Adaptation models BibRef

Marchant, R.,
Scale Adaptive Filters,
DICTA15(1-8)
IEEE DOI 1603
Fourier series BibRef

Onuki, M.[Masaki], Ono, S.[Shunsuke], Shirai, K.[Keiichiro], Tanaka, Y.[Yuichi],
Non-local/local image filters using fast eigenvalue filtering,
ICIP15(4659-4663)
IEEE DOI 1512
Chebyshev polynomial approximation BibRef

Zhou, M.C.[Ming-Cai], Liu, Z.H.[Zhi-Hua], Hong, T.[Tao], Wang, X.Y.[Xi-Ying], Wang, H.T.[Hai-Tao], Sun, X.[Xun],
Efficient O(1) edge-aware filter,
ICIP15(1295-1299)
IEEE DOI 1512
Geodesic distance BibRef

Ham, B.[Bumsub], Cho, M.S.[Min-Su], Ponce, J.[Jean],
Robust image filtering using joint static and dynamic guidance,
CVPR15(4823-4831)
IEEE DOI 1510
BibRef

El Madani El Alami, Y., Nfaoui, E.H., El Beqqali, O.,
Toward an effective hybrid collaborative filtering: A new approach based on matrix factorization and heuristic-based neighborhood,
ISCV15(1-8)
IEEE DOI 1506
collaborative filtering BibRef

Sakiyama, A.[Akie], Tanaka, Y.[Yuichi],
Edge-aware image graph expansion methods for oversampled graph Laplacian matrix,
ICIP14(2958-2962)
IEEE DOI 1502
Approximation methods BibRef

Hamamoto, A.[Ami], Onuki, M.[Masaki], Tanaka, Y.[Yuichi],
Multidimensional linear-phase perfect reconstruction filter banks with higher order feasible building blocks,
ICIP14(2963-2967)
IEEE DOI 1502
Delays BibRef

Almogahed, B.A., Kakadiaris, I.A.,
NEATER: Filtering of Over-sampled Data Using Non-cooperative Game Theory,
ICPR14(1371-1376)
IEEE DOI 1412
Game theory BibRef

García-Vega, S., Álvarez-Meza, A.M., Castellanos-Domínguez, G.[Germán],
Time-Series Prediction Based on Kernel Adaptive Filtering with Cyclostationary Codebooks,
IbPRIA15(354-361).
Springer DOI 1506
BibRef
Earlier:
Estimation of Cyclostationary Codebooks for Kernel Adaptive Filtering,
CIARP14(351-358).
Springer DOI 1411
BibRef

Wang, S.L.[Shen-Long], Zhang, L.[Lei], Urtasun, R.,
Transductive Gaussian processes for image denoising,
ICCP14(1-8)
IEEE DOI 1411
self-similarity in denoising. Gaussian processes BibRef

Hua, M.[Miao], Bie, X.H.[Xiao-Hui], Zhang, M.Y.[Min-Ying], Wang, W.C.[Wen-Cheng],
Edge-Aware Gradient Domain Optimization Framework for Image Filtering by Local Propagation,
CVPR14(2838-2845)
IEEE DOI 1409
edge-aware; edit propagation; image filtering BibRef

Chen, X.W.[Xiao-Wu], Zou, D.Q.[Dong-Qing], Li, J.W.[Jian-Wei], Cao, X.C.[Xiao-Chun], Zhao, Q.P.[Qin-Ping], Zhang, H.[Hao],
Sparse Dictionary Learning for Edit Propagation of High-Resolution Images,
CVPR14(2854-2861)
IEEE DOI 1409
Filtering. BibRef

Särkkä, S.[Simo], Solin, A.[Arno],
Continuous-Space Gaussian Process Regression and Generalized Wiener Filtering with Application to Learning Curves,
SCIA13(172-181).
Springer DOI 1311
BibRef

Shirai, K.[Keiichiro], Okuda, M.[Masahiro], Jinno, T.[Takao], Okamoto, M.[Masayuki], Ikehara, M.[Masaaki],
Local Covariance Filtering for Color Images,
ACCV12(IV:406-417).
Springer DOI 1304
BibRef

Liu, Y.[Ying], He, D.[Dake], Fieguth, P.W.[Paul W.],
Adaptive post-filtering based on Local Binary Patterns,
ICIP12(2905-2908).
IEEE DOI 1302
BibRef

Anderes, E.[Ethan],
Robust adaptive Wiener filtering,
ICIP12(3081-3084).
IEEE DOI 1302
BibRef

Mohammad, F., Ansari, R., Wanek, J., Shahidi, M.,
Frequency-based local content adaptive filtering algorithm for automated photoreceptor cell density quantification,
ICIP12(2325-2328).
IEEE DOI 1302
BibRef

Tsai, C.Y.[Chia-Yang], Chen, C.Y.[Ching-Yeh], Fu, C.M.[Chih-Ming], Huang, Y.W.[Yu-Wen], Lei, S.[Shawmin],
One-pass encoding algorithm for adaptive loop filter in high-efficiency video coding,
VCIP11(1-4).
IEEE DOI 1201
BibRef

Yoshino, T.[Tomonobu], Naito, S.[Sei],
Adaptive loop filter technology based on analytical design considering local image characteristics,
ICIP11(3477-3480).
IEEE DOI 1201
BibRef

Krebs, A.[Andreas], Wiklund, J.[Johan], Felsberg, M.[Michael],
Optimization of Quadrature Filters Based on the Numerical Integration of Improper Integrals,
DAGM11(91-100).
Springer DOI 1109
BibRef

Gardezi, A.[Akber], Alkandri, A.[Ahmed], Birch, P.[Philip], Qureshi, T.[Tabassum], Young, R.C.D.[Rupert C.D.], Chatwin, C.R.[Chris R.],
An implementation and performance evaluation of a space variant OT-MACH filter for a security detection application using FLIR sensor,
AIPR10(1-7).
IEEE DOI 1010
Optimal Trade-off Maximum Average Correlation Height (OT-MACH). BibRef

Arezki, M., Guessoum, A., Meyrueis, P.,
A FAST Algorithm for Adaptive Filtering,
WSSIP09(1-4).
IEEE DOI 0906
BibRef

Urbach, E.R.,
Contextual image filtering,
IVCNZ09(299-303).
IEEE DOI 0911
BibRef

Hussein, M.[Mohamed], Porikli, F.M.[Fatih M.], Davis, L.S.[Larry S.],
Kernel integral images: A framework for fast non-uniform filtering,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Hu, N.[Nan], Cheung, S.C.S., Nguyen, T.[Thinh],
Secure Image Filtering,
ICIP06(1553-1556).
IEEE DOI 0610
BibRef

He, L.[Lulu], Wang, H.Y.[Hong-Yuan],
Spatial-variant Image Filtering Based on Bidimensional Empirical Mode Decomposition,
ICPR06(II: 1196-1199).
IEEE DOI 0609
BibRef

Bakir, G.H.[Gökhan H.], Gretton, A.[Arthur], Franz, M.O.[Matthias O.], Schölkopf, B.[Bernhard],
Multivariate Regression via Stiefel Manifold Constraints,
DAGM04(262-269).
Springer DOI 0505
BibRef

Franz, M.O.[Matthias O.], Kwon, Y.H.[Young-Hee], Rasmussen, C.E.[Carl Edward], Schölkopf, B.[Bernhard],
Semi-supervised Kernel Regression Using Whitened Function Classes,
DAGM04(18-26).
Springer DOI 0505
BibRef

Cawley, G.C., Talbot, N.L.C.,
Efficient model selection for kernel logistic regression,
ICPR04(II: 439-442).
IEEE DOI 0409
BibRef

Torma, P.[Péter], Szepesvári, C.[Csaba],
Enhancing Particle Filters Using Local Likelihood Sampling,
ECCV04(Vol I: 16-27).
Springer DOI 0405
BibRef

Chang, C.[Cheng], Ansari, R.,
Kernel particle filter: iterative sampling for efficient visual tracking,
ICIP03(III: 977-980).
IEEE DOI 0312
BibRef

Granmo, O.C.[Ole-Christoffer], Eliassen, F.[Frank], Lysne, O.[Olav], Eide, V.S.W.[Viktor S. Wold],
Techniques for Parallel Execution of the Particle Filter,
SCIA03(983-990).
Springer DOI 0310
BibRef

Kobatake, H.[Hidefumi], Jun, W.[Wei], Yoshinaga, Y.[Yukiyasu], Hagihara, Y.[Yoshihiro], Shimizu, A.[Akinobu],
Nonlinear Adaptive Convergence Index Filters and Their Characteristics,
ICPR00(Vol III: 522-525).
IEEE DOI 0009
BibRef

Sarca, O., Tabus, I., and Astola, J.T.,
Threshold Decomposition Based Locally Adaptive Linear Filters,
ICIP97(I: 409-412).
IEEE DOI BibRef 9700

Tabus, I., Rissanen, J.J., and Astola, J.T.,
Adaptive L-Predictors Based on Finite State Machine Context Selection,
ICIP97(I: 401-404).
IEEE DOI BibRef 9700

Zhang, J.Y.[Jin-You],
Estimating adaptive kernels from local image grey value changes,
ICIP95(II: 141-144).
IEEE DOI 9510
BibRef

Jarosz, H., Crettez, J.P.,
Adaptive Size for Operators in Line Image Processing,
ICPR88(II: 814-817).
IEEE DOI BibRef 8800

Yan, X.J.[Xue-Jun], Huang, Z.[Zeulu],
Adaptive spatial filtering for digital images,
ICPR88(II: 811-813).
IEEE DOI 8811
BibRef

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Steerable Filters .


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