Zlokolica, V.[Vladimir],
Pizurica, A.[Aleksandra],
Philips, W.[Wilfried],
Noise Estimation for Video Processing Based on Spatio-Temporal
Gradients,
SPLetters(13), No. 6, June 2006, pp. 337-340.
IEEE DOI
0606
BibRef
Earlier:
Recursive temporal denoising and motion estimation of video,
ICIP04(III: 1465-1468).
IEEE DOI
0505
BibRef
Earlier:
Video Denoising Using Multiple Class Averaging with Multiresolution,
VLBV03(172-179).
Springer DOI
0310
BibRef
El Hassouni, M.[Mohammed],
Cherifi, H.[Hocine],
Aboutajdine, D.[Driss],
HOS-Based Image Sequence Noise Removal,
IP(15), No. 3, March 2006, pp. 572-581.
IEEE DOI
0604
BibRef
El Hassouni, M.[Mohammed],
Cherifi, H.[Hocine],
Alpha-Stable Noise Reduction in Video Sequences,
ICIAR04(I: 580-587).
Springer DOI
0409
BibRef
Earlier:
Noise reduction in color video sequences using multichannel
motion-compensated L-filter,
ICIP03(III: 369-372).
IEEE DOI
0312
BibRef
Sen, D.,
Swamy, M.N.S.,
Ahmad, M.O.,
Unbiased homomorphic system and its application in reducing
multiplicative noise,
VISP(153), No. 5, October 2006, pp. 521-537.
DOI Link
0702
BibRef
Sen, D.,
Swamy, M.N.S.,
Ahmad, M.O.,
Computationally fast techniques to reduce AWGN and speckle in videos,
IET-IPR(1), No. 4, December 2007, pp. 319-334.
DOI Link
0905
BibRef
Rahman, S.M.M.,
Ahmad, M.O.,
Swamy, M.N.S.,
Video Denoising Based on Inter-frame Statistical Modeling of Wavelet
Coefficients,
CirSysVideo(17), No. 2, February 2007, pp. 187-198.
IEEE DOI
0702
BibRef
Rahman, S.M.M.,
Ahmad, M.O.,
Swamy, M.N.S.,
Contrast-based fusion of noisy images using discrete wavelet transform,
IET-IPR(4), No. 5, October 2010, pp. 374-384.
DOI Link
1011
BibRef
Guo, L.W.[Li-Wei],
Au, O.C.,
Ma, M.Y.[Meng-Yao],
Liang, Z.,
Temporal Video Denoising Based on Multihypothesis Motion Compensation,
CirSysVideo(17), No. 10, October 2007, pp. 1423-1429.
IEEE DOI
0711
BibRef
Guo, L.W.[Li-Wei],
Au, O.C.,
Ma, M.Y.[Meng-Yao],
Liang, Z.Q.[Zhi-Qin],
Yuk, C.K.M.,
A Multihypothesis Motion-Compensated Temporal Filter for Video
Denoising,
ICIP06(1417-1420).
IEEE DOI
0610
BibRef
Guo, L.W.[Li-Wei],
Au, O.C.,
Ma, M.Y.[Meng-Yao],
Wong, P.H.W.,
Integration of Recursive Temporal LMMSE Denoising Filter Into Video
Codec,
CirSysVideo(20), No. 2, February 2010, pp. 236-249.
IEEE DOI
1003
BibRef
Chen, Y.[Yan],
Au, O.C.,
Fan, X.P.[Xiao-Peng],
Simultaneous MAP-Based Video Denoising and Rate-Distortion Optimized
Video Encoding,
CirSysVideo(19), No. 1, January 2009, pp. 15-26.
IEEE DOI
0902
BibRef
Michailovich, O.V.,
Tannenbaum, A.,
Dynamic Denoising of Tracking Sequences,
IP(17), No. 6, June 2008, pp. 847-856.
IEEE DOI
0711
BibRef
Michailovich, O.V.,
Tannenbaum, A.,
Segmentation of Tracking Sequences Using Dynamically Updated Adaptive
Learning,
IP(17), No. 12, December 2008, pp. 2403-2412.
IEEE DOI
0811
BibRef
Varghese, G.,
Wang, Z.[Zhou],
Video Denoising Based on a Spatiotemporal Gaussian Scale Mixture Model,
CirSysVideo(20), No. 7, July 2010, pp. 1032-1040.
IEEE DOI
1008
BibRef
Tan, H.,
Tian, F.,
Qiu, Y.,
Wang, S.,
Zhang, J.,
Multihypothesis recursive video denoising based on separation of motion
state,
IET-IPR(4), No. 4, August 2010, pp. 261-268.
1008
BibRef
Li, W.[Wen],
Zhang, J.[Jun],
Dai, Q.H.[Qiong-Hai],
Video denoising using shape-adaptive sparse representation over similar
spatio-temporal patches,
SP:IC(26), No. 4-5, April 2011, pp. 250-265.
Elsevier DOI
1101
Video denoising, Patch-based model, Shape-adaptive neighborhood;
Sparse representation, Patch clustering, Collaborative filtering
BibRef
Xue, Z.[Zhou],
Yang, J.Y.[Jing-Yu],
Dai, Q.H.[Qiong-Hai],
Zhang, N.[Naiyao],
Multi-view image denoising based on graphical model of surface patch,
3DTV10(1-4).
IEEE DOI
1006
BibRef
Ghazal, M.[Mohammed],
Amer, A.[Aishy],
Homogeneity Localization Using Particle Filters With Application to
Noise Estimation,
IP(20), No. 7, July 2011, pp. 1788-1796.
IEEE DOI
1107
BibRef
Ghazal, M.[Mohammed],
Amer, A.[Aishy],
Ghrayeb, A.,
Homogeneity-Based Directional Sigma Filtering of Video Noise,
ICIP05(I: 97-100).
IEEE DOI
0512
BibRef
Han, Y.B.[Yu-Bing],
Chen, R.S.[Ru-Shan],
Efficient video denoising based on dynamic nonlocal means,
IVC(30), No. 2, February 2012, pp. 78-85.
Elsevier DOI
1204
Video denoising, Nonlocal means, Kalman filtering, Linear minimum
variance fusion
BibRef
Maggioni, M.,
Boracchi, G.[Giacomo],
Foi, A.[Alessandro],
Egiazarian, K.O.[Karen O.],
Video Denoising, Deblocking, and Enhancement Through Separable 4-D
Nonlocal Spatiotemporal Transforms,
IP(21), No. 9, September 2012, pp. 3952-3966.
IEEE DOI
1208
BibRef
Maggioni, M.,
Sanchez-Monge, E.,
Foi, A.[Alessandro],
Joint Removal of Random and Fixed-Pattern Noise Through
Spatiotemporal Video Filtering,
IP(23), No. 10, October 2014, pp. 4282-4296.
IEEE DOI
1410
array signal processing
BibRef
Foi, A.[Alessandro],
Boracchi, G.[Giacomo],
Foveated Nonlocal Self-Similarity,
IJCV(120), No. 1, October 2016, pp. 78-110.
Springer DOI
1609
BibRef
Dai, J.J.[Jing-Jing],
Au, O.C.[Oscar C.],
Pang, C.[Chao],
Zou, F.[Feng],
Color Video Denoising Based on Combined Interframe and Intercolor
Prediction,
CirSysVideo(23), No. 1, January 2013, pp. 128-141.
IEEE DOI
1302
BibRef
Earlier:
Video denoising based on transform domain minimum mean square error,
ICIP11(2573-2576).
IEEE DOI
1201
BibRef
Dai, J.J.[Jing-Jing],
Au, O.C.[Oscar C.],
Fang, L.[Lu],
Pang, C.[Chao],
Zou, F.[Feng],
Li, J.L.[Jia-Li],
Multichannel Nonlocal Means Fusion for Color Image Denoising,
CirSysVideo(23), No. 11, 2013, pp. 1873-1886.
IEEE DOI
1312
BibRef
Earlier: A1, A2, A5, A4, A3, Only:
Color image denoising based on multichannel non-local means fusion,
ICIP12(1193-1196).
IEEE DOI
1302
image colour analysis
BibRef
Rajwade, A.[Ajit],
Rangarajan, A.[Anand],
Banerjee, A.[Arunava],
Image Denoising Using the Higher Order Singular Value Decomposition,
PAMI(35), No. 4, April 2013, pp. 849-862.
IEEE DOI
1303
BibRef
Earlier:
Using the Higher Order Singular Value Decomposition for Video Denoising,
EMMCVPR11(344-354).
Springer DOI
1107
Implementation:
See also Implementation of a Denoising Algorithm Based on High-Order Singular Value Decomposition of Tensors.
BibRef
Sutour, C.,
Deledalle, C.A.[Charles-Alban],
Aujol, J.F.[Jean-François],
Adaptive Regularization of the NL-Means:
Application to Image and Video Denoising,
IP(23), No. 8, August 2014, pp. 3506-3521.
IEEE DOI
1408
image denoising
BibRef
Sutour, C.[Camille],
Aujol, J.F.[Jean-Francois],
Deledalle, C.A.[Charles-Alban],
Domenger, J.P.[Jean-Philippe],
Adaptive regularization of the NL-means for video denoising,
ICIP14(2704-2708)
IEEE DOI
1502
Adaptation models
BibRef
Kuang, Y.[Yin],
Zhang, L.[Lei],
Yi, Z.[Zhang],
An adaptive rank-sparsity K-SVD algorithm for image sequence
denoising,
PRL(45), No. 1, 2014, pp. 46-54.
Elsevier DOI
1407
Image sequence denoising
BibRef
Tian, X.L.[Xiao-Lin],
Jiao, L.C.[Li-Cheng],
Duan, Y.[Ying],
Zhang, X.H.[Xiao-Hua],
Video denoising via spatially adaptive coefficient shrinkage and
threshold adjustment in Surfacelet transform domain,
SIViP(8), No. 5, July 2014, pp. 901-912.
WWW Link.
1407
BibRef
Tan, X.[Xin],
Liu, Y.[Yu],
Xiao, H.X.[Hua-Xin],
Zhang, M.J.[Mao-Jun],
A Real-Time Cascaded Video Denoising Algorithm Using Intensity and
Structure Tensor,
IEICE(E98-D), No. 7, July 2015, pp. 1333-1342.
WWW Link.
1508
See also Motion Detection Algorithm for Unmanned Aerial Vehicle Nighttime Surveillance.
BibRef
Xiao, J.S.[Jin-Sheng],
Tian, H.[Hong],
Zhang, Y.Q.[Yong-Qin],
Zhou, Y.Q.[Yong-Qiang],
Lei, J.F.[Jun-Feng],
Blind video denoising via texture-aware noise estimation,
CVIU(169), 2018, pp. 1-13.
Elsevier DOI
1804
Blind video denoising, Noise estimation,
Principal component analysis, Weak texture block, Gaussian noise
BibRef
Guo, H.,
Vaswani, N.,
Video Denoising via Dynamic Video Layering,
SPLetters(25), No. 7, July 2018, pp. 1009-1013.
IEEE DOI
1807
compressed sensing, image denoising, image matching,
image sequences, sparse matrices, video signal processing,
Task analysis
BibRef
Xiao, J.S.[Jin-Sheng],
Zou, W.T.[Wen-Tao],
Zhang, S.Y.[Shang-Yue],
Lei, J.F.[Jun-Feng],
Wang, W.[Wen],
Wang, Y.F.[Yuan-Fang],
Video denoising algorithm based on improved dual-domain filtering and
3D block matching,
IET-IPR(12), No. 12, December 2018, pp. 2250-2257.
DOI Link
1812
BibRef
Parameswaran, S.,
Luo, E.,
Nguyen, T.Q.,
Patch Matching for Image Denoising Using Neighborhood-Based
Collaborative Filtering,
CirSysVideo(28), No. 2, February 2018, pp. 392-401.
IEEE DOI
1802
Collaboration, Databases, Image denoising, Noise measurement,
Noise reduction, Principal component analysis,
robust patch matching
BibRef
Parameswaran, S.,
Luo, E.,
Deledalle, C.A.,
Nguyen, T.Q.,
Fast External Denoising Using Pre-Learned Transformations,
NTIRE17(1025-1033)
IEEE DOI
1709
Algorithm design and analysis, Databases, Image denoising,
Noise measurement, Noise reduction, Runtime, Videos
BibRef
Feschet, F.[Fabien],
Implementation of a Denoising Algorithm Based on High-Order Singular
Value Decomposition of Tensors,
IPOL(9), 2019, pp. 158-182.
DOI Link
1906
Code, Denoising. patch-based denoising algorithm.
See also Image Denoising Using the Higher Order Singular Value Decomposition.
BibRef
Tirer, T.[Tom],
Giryes, R.[Raja],
Back-Projection Based Fidelity Term for Ill-Posed Linear Inverse
Problems,
IP(29), 2020, pp. 6164-6179.
IEEE DOI
2005
Inverse problems, image restoration, image deblurring,
image super-resolution, compressed sensing, total variation,
deep generative models
BibRef
Yogev-Ofer, E.[Einav],
Tirer, T.[Tom],
Giryes, R.[Raja],
An Interpretation of Regularization by Denoising and Its Application
with the Back-Projected Fidelity Term,
ICIP21(1649-1653)
IEEE DOI
2201
Noise reduction, Superresolution, Cost function, Image restoration,
Task analysis, Engines, Inverse problems, image deblurring, Back-Projection
BibRef
Sun, L.[Lu],
Dong, W.S.[Wei-Sheng],
Li, X.[Xin],
Wu, J.J.[Jin-Jian],
Li, L.[Leida],
Shi, G.M.[Guang-Ming],
Deep Maximum a Posterior Estimator for Video Denoising,
IJCV(129), No. 10, October 2021, pp. 2827-2845.
Springer DOI
2110
BibRef
Chen, H.[Huaian],
Jin, Y.[Yi],
Xu, K.[Kai],
Chen, Y.X.[Yu-Xuan],
Zhu, C.[Changan],
Multiframe-to-Multiframe Network for Video Denoising,
MultMed(24), No. 2022, pp. 2164-2178.
IEEE DOI
2204
Noise reduction, Task analysis, Redundancy, Image denoising,
Feature extraction, Noise measurement, Spatiotemporal phenomena,
spatiotemporal
BibRef
Ostrowski, P.K.[Piotr Kopa],
Katsaros, E.[Efklidis],
Wesierski, D.[Daniel],
Jezierska, A.[Anna],
BP-EVD:
Forward Block-Output Propagation for Efficient Video Denoising,
IP(31), 2022, pp. 3809-3824.
IEEE DOI
2206
Noise reduction, Streaming media, Training, Noise level,
Real-time systems, Noise measurement, Gaussian noise,
Gaussian noise
BibRef
Chen, H.[Huaian],
Wang, J.F.[Jian-Feng],
Duan, M.H.[Ming-Hui],
Jin, Y.[Yi],
Kan, Y.[Yan],
Zhu, C.[Changan],
Video Denoising for Scenes With Challenging Motion:
A Comprehensive Analysis and a New Framework,
MultMed(25), 2023, pp. 5704-5719.
IEEE DOI
2311
BibRef
Cai, L.J.[Li-Jing],
Dong, X.Y.[Xiang-Yu],
Zhou, K.[Kailai],
Cao, X.[Xun],
Exploring Video Denoising in Thermal Infrared Imaging:
Physics-Inspired Noise Generator, Dataset, and Model,
IP(33), 2024, pp. 3839-3854.
IEEE DOI
2407
Noise, Noise reduction, Thermal noise, Task analysis,
Infrared imaging, Noise generators, Imaging,
multi-domain infrared video denoising network
BibRef
Pimpale, A.[Abhijeet],
Bhurchandi, K.[Kishor],
Cascaded UNet for progressive noise residual prediction for
structure-preserving video denoising,
CVIU(248), 2024, pp. 104103.
Elsevier DOI
2409
Video denoising, Residue modelling, Deep learning, Cascaded UNet, SSIM
BibRef
Sun, L.[Lu],
Wu, F.F.[Fang-Fang],
Ding, W.[Wei],
Li, X.[Xin],
Lin, J.[Jie],
Dong, W.S.[Wei-Sheng],
Shi, G.M.[Guang-Ming],
Multi-Scale Spatio-Temporal Memory Network for Lightweight Video
Denoising,
IP(33), 2024, pp. 5810-5823.
IEEE DOI
2410
Noise reduction, Streaming media, Noise measurement, Estimation,
Computational modeling, Motion estimation, Noise,
spatio-temporal memory enhancement
BibRef
Zhou, K.[Kun],
Li, W.[Wenbo],
Lu, L.Y.[Li-Ying],
Han, X.G.[Xiao-Guang],
Lu, J.B.[Jiang-Bo],
Revisiting Temporal Alignment for Video Restoration,
CVPR22(6043-6052)
IEEE DOI
2210
Adaptation models, Codes, Superresolution, Noise reduction,
Benchmark testing, Motion compensation, Low-level vision
BibRef
Li, J.[Junyi],
Wu, X.H.[Xiao-He],
Niu, Z.X.[Zhen-Xing],
Zuo, W.M.[Wang-Meng],
Unidirectional Video Denoising by Mimicking Backward Recurrent Modules
with Look-Ahead Forward Ones,
ECCV22(XVIII:592-609).
Springer DOI
2211
BibRef
Zhao, Y.P.[Ya-Ping],
Zheng, H.[Haitian],
Wang, Z.[Zhongrui],
Luo, J.B.[Jie-Bo],
Lam, E.Y.[Edmund Y.],
Manet: Improving Video Denoising with a Multi-Alignment Network,
ICIP22(2036-2040)
IEEE DOI
2211
Codes, Noise reduction, Estimation, Proposals, video denoising,
image alignment, video enhancement, attention, image synthesis
BibRef
Dewil, V.[Valéry],
Barral, A.[Arnaud],
Facciolo, G.[Gabriele],
Arias, P.[Pablo],
Self-supervision versus synthetic datasets:
Which is the lesser evil in the context of video denoising?,
VDU22(4896-4906)
IEEE DOI
2210
Training, Protocols, ISO, Gaussian noise, Noise reduction, Lighting,
Network architecture
BibRef
Vaksman, G.[Gregory],
Elad, M.[Michael],
Milanfar, P.[Peyman],
Patch Craft: Video Denoising by Deep Modeling and Patch Matching,
ICCV21(2137-2146)
IEEE DOI
2203
Filtering, Noise reduction, Video sequences, Redundancy, Force,
Convolutional neural networks, Computational photography,
BibRef
Sheth, D.Y.[Dev Yashpal],
Mohan, S.[Sreyas],
Vincent, J.L.[Joshua L.],
Manzorro, R.[Ramon],
Crozier, P.A.[Peter A.],
Khapra, M.M.[Mitesh M.],
Simoncelli, E.P.[Eero P.],
Fernandez-Granda, C.[Carlos],
Unsupervised Deep Video Denoising,
ICCV21(1739-1748)
IEEE DOI
2203
Integrated optics, Motion estimation, Microscopy, Noise reduction,
Fluorescence, Optical imaging, Motion compensation,
Vision applications and systems
BibRef
Maggioni, M.[Matteo],
Huang, Y.[Yibin],
Li, C.[Cheng],
Xiao, S.[Shuai],
Fu, Z.Q.[Zhong-Qian],
Song, F.[Fenglong],
Efficient Multi-Stage Video Denoising with Recurrent Spatio-Temporal
Fusion,
CVPR21(3465-3474)
IEEE DOI
2111
Performance evaluation, Noise reduction, Memory management,
Transforms, Streaming media, Real-time systems, Mobile handsets
BibRef
Yue, H.,
Cao, C.,
Liao, L.,
Chu, R.,
Yang, J.,
Supervised Raw Video Denoising With a Benchmark Dataset on Dynamic
Scenes,
CVPR20(2298-2307)
IEEE DOI
2008
Noise measurement, Noise reduction, ISO, Image denoising,
Correlation, Dynamics, Gaussian noise
BibRef
Tassano, M.,
Delon, J.,
Veit, T.,
FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow
Estimation,
CVPR20(1351-1360)
IEEE DOI
2008
Noise reduction, Estimation, Image denoising, Image restoration,
Neural networks, Training, Streaming media
BibRef
Dewil, V.[Valéry],
Anger, J.[Jérémy],
Davy, A.[Axel],
Ehret, T.[Thibaud],
Facciolo, G.[Gabriele],
Arias, P.[Pablo],
Self-supervised training for blind multi-frame video denoising,
WACV21(2723-2733)
IEEE DOI
2106
Training, Optical losses, Surveillance, Optical switches,
Machine vision, Noise reduction, Noise measurement
BibRef
Ehret, T.[Thibaud],
Davy, A.[Axel],
Morel, J.M.[Jean-Michel],
Facciolo, G.[Gabriele],
Arias, P.[Pablo],
Model-Blind Video Denoising via Frame-To-Frame Training,
CVPR19(11361-11370).
IEEE DOI
2002
BibRef
Tassano, M.,
Delon, J.,
Veit, T.,
DVDNET: A Fast Network for Deep Video Denoising,
ICIP19(1805-1809)
IEEE DOI
1910
video denoising, CNN, residual learning, neural networks, image restoration
BibRef
Davy, A.,
Ehret, T.,
Morel, J.,
Arias, P.,
Facciolo, G.,
A Non-Local CNN for Video Denoising,
ICIP19(2409-2413)
IEEE DOI
1910
Video Processing, Denoising, Convolutional Neural Networks, Non-locality
BibRef
Izadi, M.,
Birkbeck, N.,
Adsumilli, B.,
Mutual Noise Estimation Algorithm for Video Denoising,
ICIP19(2424-2428)
IEEE DOI
1910
video, spatio-temporal noise, noise estimation
BibRef
Godard, C.[Clément],
Matzen, K.[Kevin],
Uyttendaele, M.T.[Matt T.],
Deep Burst Denoising,
ECCV18(XV: 560-577).
Springer DOI
1810
Low light. Blur and sensor saturation.
BibRef
Parameswaran, S.,
Luo, E.,
Nguyen, T.Q.,
Targeted video denoising for decompressed videos,
ICIP17(2981-2985)
IEEE DOI
1803
Complexity theory, Databases, Image coding, Image denoising,
Noise reduction, Prediction algorithms, Video sequences,
targeted video denoising
BibRef
Ren, Z.,
Li, J.,
Liu, S.,
Zeng, B.,
Meshflow video denoising,
ICIP17(2966-2970)
IEEE DOI
1803
Cameras, Dynamics, Image denoising, Noise measurement,
Noise reduction, Tracking, Wavelet domain, Video denoising, meshflow
BibRef
Zha, Z.Y.[Zhi-Yuan],
Wen, B.[Bihan],
Yuan, X.[Xin],
Zhou, J.T.[Jian-Tao],
Zhu, C.[Ce],
Low-Rank Regularized Joint Sparsity for Image Denoising,
ICIP21(1644-1648)
IEEE DOI
2201
Adaptation models, Image coding, Noise reduction,
Approximation algorithms, Minimization, Linear programming,
adaptive parameter
BibRef
Wen, B.[Bihan],
Li, Y.J.[Yan-Jun],
Pfister, L.[Luke],
Bresler, Y.[Yoram],
Joint Adaptive Sparsity and Low-Rankness on the Fly:
An Online Tensor Reconstruction Scheme for Video Denoising,
ICCV17(241-250)
IEEE DOI
1802
image denoising, image reconstruction, image representation,
learning (artificial intelligence), transforms,
Transforms
BibRef
Zhang, Y.,
Li, G.,
Guo, X.,
Wang, W.,
Wang, R.,
A new video denoising method using texture metric and adaptive
structure variance,
VCIP16(1-4)
IEEE DOI
1701
AWGN
BibRef
Gao, Y.,
Hu, H.M.,
Wu, J.,
Video denoising algorithm via multi-scale joint luma-chroma bilateral
filter,
VCIP15(1-4)
IEEE DOI
1605
Algorithm design and analysis
BibRef
Han, J.N.[Jing-Ning],
Kopp, T.[Timothy],
Xu, Y.W.[Yao-Wu],
An estimation-theoretic approach to video denoiseing,
ICIP15(4273-4277)
IEEE DOI
1512
Video denoising
BibRef
Ren, J.[Jie],
Zhuo, Y.[Yue],
Liu, J.Y.[Jia-Ying],
Guo, Z.M.[Zong-Ming],
Illumination-invariant non-local means based video denoising,
ICIP12(1185-1188).
IEEE DOI
1302
BibRef
Kokaram, A.[Anil],
Kelly, D.[Damien],
Denman, H.[Hugh],
Crawford, A.[Andrew],
Measuring noise correlation for improved video denoising,
ICIP12(1201-1204).
IEEE DOI
1302
BibRef
Zhang, D.Q.[Dong-Qing],
Wang, B.[Bo],
Xiong, Z.X.[Zi-Xiang],
Yu, H.[Heather],
Recursive bilateral filter for encoder-integrated video denoising,
VCIP12(1-6).
IEEE DOI
1302
BibRef
Portz, T.[Travis],
Zhang, L.[Li],
Jiang, H.R.[Hong-Rui],
High-quality video denoising for motion-based exposure control,
IWMV11(9-16).
IEEE DOI
1201
BibRef
Acharya, A.[Aditya],
Meher, S.[Sukadev],
Robust video denoising for better subjective evaluation,
ICIIP11(1-5).
IEEE DOI
1112
BibRef
Rubinstein, M.[Michael],
Liu, C.[Ce],
Sand, P.[Peter],
Durand, F.[Fredo],
Freeman, W.T.[William T.],
Motion denoising with application to time-lapse photography,
CVPR11(313-320).
IEEE DOI
1106
BibRef
Zeng, K.[Kai],
Wang, Z.[Zhou],
Enhancing Video Denoising Algorithms by Fusion from Multiple Views,
ICIAR11(I: 1-10).
Springer DOI
1106
BibRef
Liu, C.[Ce],
Freeman, W.T.[William T.],
A High-Quality Video Denoising Algorithm Based on Reliable Motion
Estimation,
ECCV10(III: 706-719).
Springer DOI
1009
BibRef
Ghoniem, M.[Mahmoud],
Chahir, Y.[Youssef],
El Moataz, A.[Abderrahim],
Video denoising via discrete regularization on graphs,
ICPR08(1-4).
IEEE DOI
0812
BibRef
And:
Video Denoising and Simplification Via Discrete Regularization on
Graphs,
ACIVS08(xx-yy).
Springer DOI
0810
BibRef
Chen, J.[Jia],
Tang, C.K.[Chi-Keung],
Spatio-Temporal Markov Random Field for Video Denoising,
CVPR07(1-8).
IEEE DOI
0706
BibRef
Langs, A.[Andreas],
Biedermann, M.[Matthias],
Filtering Video Volumes Using the Graphics Hardware,
SCIA07(878-887).
Springer DOI
0706
Denoising video, e.g. from low light.
BibRef
Hensel, M.[Marc],
Pralow, T.[Thomas],
Grigat, R.R.[Rolf-Rainer],
Real-Time Denoising of Medical X-Ray Image Sequences:
Three Entirely Different Approaches,
ICIAR06(II: 479-490).
Springer DOI
0610
BibRef
Dugad, R.[Rakesh],
Ahuja, N.[Narendra],
Video Denoising by Combining Kalman and Wiener Estimates,
ICIP99(IV:152-156).
IEEE DOI
BibRef
9900
Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Video Frame Rate Up-Conversion .