19.4.3.25 Video Image Restoration and Enhancement

Dubois, E., Sabri, S.,
Noise Reduction in Image Sequences Using Motion-Compensated Temporal Filtering,
Commun(32), 1984, pp. 826-831. BibRef 8400

Takeuchi, M.[Motohiko], Kisou, M.[Masaaki],
Noise reduction circuit for video signal having field memory,
US_Patent4,807,034, Feb 21, 1989
WWW Link. from adjacent fields. BibRef 8902

Miller, J.W.V., Farison, J.B., Shin, Y.,
Spatially Invariant Image Sequences,
IP(1), No. 2, April 1992, pp. 148-161.
IEEE DOI BibRef 9204

Ozkan, M.K., Erdem, A.T., Sezan, M.I., Tekalp, A.M.,
Efficient multiframe Wiener restoration of blurred and noisy image sequences,
IP(1), No. 4, October 1992, pp. 453-476.
IEEE DOI 0402
BibRef

Ozkan, M.K., Tekalp, A.M., Sezan, M.I.,
POCS-based restoration of space-varying blurred images,
IP(3), No. 4, July 1994, pp. 450-454.
IEEE DOI 0402
BibRef

Ozkan, M.K., Sezan, M.I., Tekalp, A.M.,
Adaptive motion-compensated filtering of noisy image sequences,
CirSysVideo(3), No. 4, August 1993, pp. 277-290.
IEEE Top Reference. 0206
BibRef

Delogne, P., Cuvelier, L., Maison, B., van Caillie, B., Vandendorpe, L.,
Improved interpolation, motion estimation, and compensation for interlaced pictures,
IP(3), No. 5, September 1994, pp. 482-491.
IEEE DOI 0402
BibRef

Brailean, J.C., Katsaggelos, A.K.,
Simultaneous recursive displacement estimation and restoration of noisy-blurred image sequences,
IP(4), No. 9, September 1995, pp. 1236-1251.
IEEE DOI 0402
BibRef

Tull, D.L.[Damon L.], Katsaggelos, A.K.,
Iterative Restoration of Fast-Moving Objects in Dynamic Image Sequences,
OptEng(35), No. 12, December 1996, pp. 3460-3469. 9701
BibRef
Earlier:
Regularized blur-assisted displacement field estimation,
ICIP96(III: 85-88).
IEEE DOI BibRef
Earlier:
Regularized motion estimation using robust entropic functionals,
ICIP95(III: 212-215).
IEEE DOI 9510
BibRef

Vural, C., Tull, D.L.,
Identification of Causal Non-minimum Phase Blurs Using Output Cumulants,
ICIP01(I: 229-232).
IEEE DOI 0108
BibRef

Kleihorst, R.P., Lagendijk, R.L., Biemond, J.,
Noise reduction of image sequences using motion compensation and signal decomposition,
IP(4), No. 3, March 1995, pp. 274-284.
IEEE DOI 0402
BibRef

Iu, S.L.[Siu-Leong],
Video signal noise reduction system using time-varying filter coefficients,
US_Patent5,442,407, Aug 15, 1995
WWW Link. BibRef 9508

Kokaram, A.C.[Anil C.],
Wiener filter for filtering noise from a video signal,
US_Patent5,500,685, Mar 19, 1996
WWW Link. BibRef 9603

Hadar, O., Robbins, M., Novogrozky, Y., Kaplan, D.,
Image Motion Restoration from a Sequence of Images,
OptEng(35), No. 10, October 1996, pp. 2898-2904. 9611
BibRef

Lee, M.C.[Ming-Chieh],
Method for expanding contracted video images,
US_Patent5,799,113, Aug 25, 1998
WWW Link. BibRef 9808

Jung, H.[Han], Kim, Y.M.[Young Man], Hong, S.P.[Seung Pyo], Kim, K.W.[Ki Wong], Park, H.S.[Ho Sang],
Video correction apparatus for camcorder,
US_Patent6,002,431, Dec 14, 1999
WWW Link. reduce noise using adjacent scan lines BibRef 9912

Hanna, K.J.[Keith James], Kumar, R.[Rakesh], Bergen, J.R.[James Russell], Sawhney, H.S.[Harpreet Singh], Lubin, J.[Jeffrey],
Method and apparatus for enhancing regions of aligned images using flow estimation,
US_Patent6,269,175, Jul 31, 2001
WWW Link. BibRef 0107
And:
Apparatus for enhancing images using flow estimation,
US_Patent6,490,364, Dec 3, 2002
WWW Link. BibRef

van Roosmalen, P.M.B., Lagendijk, R.L., Biemond, J.,
Correction of Intensity Flicker in Old Film Sequences,
CirSysVideo(9), No. 7, October 1999, pp. 1013.
IEEE Top Reference. BibRef 9910

Al-Mualla, M.E., Canagarajah, N., Bull, D.R.,
Motion field interpolation for temporal error concealment,
VISP(147), No. 5, October 2000, pp. 445-453. 0101
BibRef
Earlier:
Error concealment using motion field interpolation,
ICIP98(III: 512-516).
IEEE DOI 9810
BibRef

Hill, P.R., Chiew, T.K., Bull, D.R., Canagarajah, C.N.,
Interpolation Free Subpixel Accuracy Motion Estimation,
CirSysVideo(16), No. 12, December 2006, pp. 1519-1526.
IEEE DOI 0701
BibRef

Hill, P.R., Bull, D.R.,
Sub-pixel motion estimation using kernel methods,
SP:IC(25), No. 4, April 2010, pp. April 2010, 268-275.
Elsevier DOI 1006
BibRef
Earlier:
Kernel based sub-pixel motion estimation,
ICIP09(1557-1560).
IEEE DOI 0911
Video compression, Kernel methods, Motion estimation BibRef

Hill, P.R., Chiew, T.K., Bull, D.R.,
Interpolation Free Sub-Pixel Motion Estimation for H.264,
ICIP06(1337-1340).
IEEE DOI 0610
BibRef

Chang, P.H.[Pei-Hwa], Leou, J.J.[Jin-Jang], Hsieh, H.C.[Hsun-Chang],
A genetic algorithm approach to image sequence interpolation,
SP:IC(16), No. 6, February 2001, pp. 507-520.
Elsevier DOI 0101
BibRef

Hadar, O.[Ofer], Cohen, R.[Reuven],
PCRTT Enhancement for Off-Line Video Smoothing,
RealTimeImg(7), No. 3, June 2001, pp. 301-314.
DOI Link 0106
BibRef

Robertson, M.A.[Mark A.], Stevenson, R.L.[Robert L.],
Reduced-complexity iterative post-filtering of video,
CirSysVideo(11), No. 10, October 2001, pp. 1121-1127.
IEEE Top Reference. 0110
BibRef
Earlier:
Reducing the computational complexity of a MAP post-processing algorithm for video sequences,
ICIP98(I: 372-376).
IEEE DOI 9810
BibRef

Tschumperlé, D.[David], Deriche, R.[Rachid],
Orthonormal Vector Sets Regularization with PDE's and Applications,
IJCV(50), No. 3, December 2002, pp. 237-252.
DOI Link 0211
BibRef
Earlier:
Regularization of ortho-normal vector sets using coupled PDE's,
LevelSet01(xx-yy). 0106
BibRef

Tschumperlé, D., Deriche, R.,
Constrained and Unconstrained PDEs for Vector Image Restoration,
SCIA01(O-M5B). 0206
BibRef

Tschumperlé, D.[David], Deriche, R.[Rachid],
Vector-Valued Image Regularization with PDEs: A Common Framework for Different Applications,
PAMI(27), No. 4, April 2005, pp. 506-517.
IEEE Abstract. 0501
BibRef
Earlier: CVPR03(I: 651-656).
IEEE DOI 0307
Award, CVPR, Student. BibRef
And: INRIARR-4657, Décembre 2002.
HTML Version. 0306

See also Regularizing Flows for Constrained Matrix-Valued Images. BibRef

Zhang, S., Salari, E.,
A Neural Network-Based Nonlinear Filter for Image Enhancement,
IJIST(12), No. 2, 2002, pp. 56-62.
DOI Link 0205
BibRef

Salari, E., Zhang, S.,
Neural network-based image restoration using scaled residual with space-variant regularization,
IJIST(12), No. 6, 2002, pp. 247-253.
WWW Link. 0308
BibRef

Salari, E., Zhang, S.,
Integrated recurrent neural network for image resolution enhancement from multiple image frames,
VISP(150), No. 4, October 2003, pp. 299-305.
IEEE Abstract. 0401
BibRef

Kim, S.J.[Sung-Jin], Shin, J.H.[Jeong-Ho], Paik, J.K.[Joon-Ki],
Real-time iterative framework of regularized image restoration and its application to video enhancement,
RealTimeImg(9), No. 1, February 2003, pp. 61-72.
Elsevier DOI 0304
BibRef

Deergha Rao, K., Swamy, M.N.S., Plotkin, E.I.,
Adaptive filtering approaches for colour image and video restoration,
VISP(150), No. 3, June 2003, pp. 168-177.
IEEE Abstract. 0308
BibRef

Puttenstein, J.G., Heynderickx, I., de Haan, G.,
Evaluation of objective quality measures for noise reduction in TV-systems,
SP:IC(19), No. 2, February 2004, pp. 109-119.
Elsevier DOI 0401
BibRef
Earlier:
Objective evaluation of noise reduction performance in TV-systems,
ICIP02(III: 69-72).
IEEE DOI 0210
BibRef

Kokaram, A.C.[Anil C.],
A statistical framework for picture reconstruction using 2D AR models,
IVC(22), No. 2, 1 February 2004, pp. 165-171.
Elsevier DOI 0402
BibRef

Kokaram, A.C.[Anil C.],
Practical, Unified, Motion and Missing Data Treatment in Degraded Video,
JMIV(20), No. 1-2, January-March 2004, pp. 163-177.
DOI Link 0403
BibRef

Kokaram, A.C.,
On Missing Data Treatment for Degraded Video and Film Archives: A Survey and a New Bayesian Approach,
IP(13), No. 3, March 2004, pp. 397-415.
IEEE DOI 0404
Survey, Super Resolution. BibRef

Kokaram, A.C.[Anil C.], Godsill, S.J.[Simon J.],
Joint Detection, Interpolation, Motion and Parameter Estimation for Image Sequences with Missing Data,
CIAP97(II: 719-726).
Springer DOI 9709
BibRef
And: ICIP97(II: 191-194).
IEEE DOI BibRef

Kokaram, A.C., Godsill, S.J.,
A System for Reconstruction of Missing Data in Image Sequences Using Sampled 3D AR Models and MRF Motion Priors,
ECCV96(II:613-624).
Springer DOI BibRef 9600

Jung, J.H.[Jung-Hoon], Joung, S.C.[Shi-Chang], Shin, J.H.[Jeong-Ho], Paik, J.K.[Joon-Ki],
Restoration of differential images for enhancement of compressed video,
JVCIR(15), No. 1, March 2004, pp. 91-109.
Elsevier DOI 0402
BibRef

Gangal, A.[Ali], Kayikçioglu, T.[Temel], Dizdaroglu, B.[Bekir],
An improved motion-compensated restoration method for damaged color motion picture films,
SP:IC(19), No. 4, April 2004, pp. 353-368.
Elsevier DOI 0405
BibRef

Vlachos, T.,
Flicker Correction for Archived Film Sequences Using a Nonlinear Model,
CirSysVideo(14), No. 4, April 2004, pp. 508-516.
IEEE Abstract. 0407
BibRef

de Stefano, A., White, P.R., Collis, W.B.,
Film grain reduction on colour images using undecimated wavelet transform,
IVC(22), No. 11, 20 September 2004, pp. 873-882.
Elsevier DOI 0409
BibRef
Earlier:
An Innovative Approach for Spatial Video Noise Reduction Using a Wavelet Based Frequency Decomposition,
ICIP00(Vol III: 281-284).
IEEE DOI 0008
BibRef

Park, J., Park, D.C., Marks, R.J., El-Sharkawi, M.A.,
Content-Based Adaptive Spatio-Temporal Methods for MPEG Repair,
IP(13), No. 8, August 2004, pp. 1066-1077.
IEEE DOI 0409
BibRef

Amer, A., Dubois, E.,
Fast and Reliable Structure-Oriented Video Noise Estimation,
CirSysVideo(15), No. 1, January 2005, pp. 113-118.
IEEE Abstract. 0501
BibRef

Amer, A., Mitiche, A., Dubois, E.,
Reliable and fast structure-oriented video noise estimation,
ICIP02(I: 840-843).
IEEE DOI 0210
BibRef

Rares, A., Reinders, M.J.T., Biemond, J.,
Edge-based image restoration,
IP(14), No. 10, October 2005, pp. 1454-1468.
IEEE DOI 0510
BibRef

Rares, A., Reinders, M.J.T., Biemond, J., Lagendijk, R.L.,
A spatiotemporal image sequence restoration algorithm,
ICIP02(II: 857-860).
IEEE DOI 0210
BibRef

Delon, J.,
Movie and Video Scale-Time Equalization Application to Flicker Reduction,
IP(15), No. 1, January 2006, pp. 241-248.
IEEE DOI 0601
BibRef

Pongpadpinit, W., Pearmain, A.[Alan],
Recovery of motion vectors for error concealment based on an edge-detection approach,
VISP(153), No. 1, February 2006, pp. 63-69.
DOI Link 0602
BibRef

Takeda, H., Farsiu, S.[Sina], Milanfar, P.[Peyman],
Kernel Regression for Image Processing and Reconstruction,
IP(16), No. 2, February 2007, pp. 349-366.
IEEE DOI 0702
BibRef

Takeda, H., Farsiu, S.[Sina], Milanfar, P.[Peyman],
Deblurring Using Regularized Locally Adaptive Kernel Regression,
IP(17), No. 4, April 2008, pp. 550-563.
IEEE DOI 0803
BibRef
Earlier:
Robust Kernel Regression for Restoration and Reconstruction of Images from Sparse Noisy Data,
ICIP06(1257-1260).
IEEE DOI 0610
BibRef

Charest, M.R., Milanfar, P.,
On Iterative Regularization and Its Application,
CirSysVideo(18), No. 3, March 2008, pp. 406-411.
IEEE DOI 0804
BibRef

Damiani, E., Dipanda, A., Yetongnon, K., Legrand, L., Schelkens, P., Chbeir, R., (Eds.)
Signal Processing for Image Enhancement and Multimedia Processing,
Springer2008, ISBN: 978-0-387-72499-7.
WWW Link. Extended papers from SITIS 2006 conference. Feature based analysis. Enhancement. BibRef 0800

Shankar, P.M.[Premchandra M.], Neifeld, M.A.[Mark A.],
Sparsity constrained regularization for multiframe image restoration,
JOSA-A(25), No. 5, May 2008, pp. 1199-1214.
WWW Link. 0711
BibRef

Ibn-Elhaj, E.[Elhassane], Aboutajdine, D.[Driss],
A Spatiotemporal Neuronal Filter for Channel Equalization and Video Restoration,
IEICE(E88-D), No. 10, October 2005, pp. 2427-2431.
DOI Link 0510
BibRef

Kim, J.S.[Jong-Sun], Kim, L.S.[Lee-Sup],
Noise Robust Motion Refinement for Motion Compensated Noise Reduction,
IEICE(E91-D), No. 5, May 2008, pp. 1581-1583.
DOI Link 0805
BibRef

Kim, J.S.[Jong-Sun], Kim, L.S.[Lee-Sup],
Binary Motion Estimation with Hybrid Distortion Measure,
IEICE(E90-D), No. 9, September 2007, pp. 1474-1477.
DOI Link 0709
BibRef

Yazdi, M.[Mehran], Zaccarin, A.[Andre],
Inter-frame Prediction Of Medical And Videophone Sequences: A Deformable Triangle-based Approach,
IJIG(4), No. 3, July 2004, pp. 453-467. 0407
BibRef

Hui, Y.W.L.[Yau Wai Lucas],
Spatio-temporal video noise reduction system,
US_Patent7,145,607, Dec 5, 2006
WWW Link. BibRef 0612

Lien, C.Y., Young, C.P., Chen, P.Y.,
A Hybrid Image Restoring Algorithm for Interlaced Video,
SPLetters(16), No. 3, March 2009, pp. 223-226.
IEEE DOI 0903
BibRef

Zhang, D.[Deng], Ryu, J.G.[Je-Goon], Nishimura, T.[Toshihiro],
A Novel Modeling and Evaluating for RTS Noise on CMOS Image Sensor in Motion Picture,
IEICE(E93-D), No. 2, February 2010, pp. 350-358.
WWW Link. 1002
BibRef

Ryu, J.[Jegoon], Nishimura, T.[Toshihiro],
Noise Reduction in CMOS Image Sensor Using Cellular Neural Networks with a Genetic Algorithm,
IEICE(E93-D), No. 2, February 2010, pp. 359-366.
WWW Link. 1002
BibRef

Lu, X.[Xin], Nishiyama, K.[Kiyoshi],
Low-resolution color-based visual tracking with state-space model identification,
CVIU(114), No. 9, September 2010, pp. 1045-1054.
Elsevier DOI 1008
BibRef
Earlier:
State-space model identification and Kalman filtering for image sequence restoration,
ICIP08(509-512).
IEEE DOI 0810
Color-based tracking, State-space model, Maximum likelihood estimator; Kalman filter BibRef

Shao, L.[Ling], Caviedes, J.E.[Jorge E.], Ma, K.K.[Kai-Kuang], Bellers, E.[Erwin],
Video restoration and enhancement: algorithms and applications,
SIViP(5), No. 3, September 2011, pp. 269-270.
WWW Link. 1109
BibRef

Shao, L.[Ling], Zhang, H.[Hui], Wang, L.[Liang], Wang, L.J.[Li-Jun],
Repairing imperfect video enhancement algorithms using classification-based trained filters,
SIViP(5), No. 3, September 2011, pp. 307-313.
WWW Link. 1109
BibRef

Chan, S.H., Khoshabeh, R., Gibson, K.B., Gill, P.E., Nguyen, T.Q.,
An Augmented Lagrangian Method for Total Variation Video Restoration,
IP(20), No. 11, November 2011, pp. 3097-3111.
IEEE DOI 1110
BibRef

Liu, L., Chan, S.H., Nguyen, T.Q.,
Depth Reconstruction From Sparse Samples: Representation, Algorithm, and Sampling,
IP(24), No. 6, June 2015, pp. 1983-1996.
IEEE DOI 1504
Dictionaries BibRef

Chen, Y., Lin, W., Zhang, C., Chen, Z., Xu, N., Xie, J.,
Intra-and-Inter-Constraint-Based Video Enhancement Based on Piecewise Tone Mapping,
CirSysVideo(23), No. 1, January 2013, pp. 74-82.
IEEE DOI 1302
BibRef

Liu, L.K., Nguyen, T.Q.,
A Framework for Depth Video Reconstruction From a Subset of Samples and Its Applications,
IP(25), No. 10, October 2016, pp. 4873-4887.
IEEE DOI 1610
computer vision BibRef

Ji, H.[Hui], Huang, S.[Sibin], Shen, Z.[Zuowei], Xu, Y.H.[Yu-Hong],
Robust Video Restoration by Joint Sparse and Low Rank Matrix Approximation,
SIIMS(4), No. 4 2011, pp. 1122.
DOI Link 1112
BibRef

Min, D., Lu, J., Do, M.N.,
Depth Video Enhancement Based on Weighted Mode Filtering,
IP(21), No. 3, March 2012, pp. 1176-1190.
IEEE DOI 1203
BibRef

Nguyen, V.A., Min, D., Do, M.N.,
Efficient Techniques for Depth Video Compression Using Weighted Mode Filtering,
CirSysVideo(23), No. 2, February 2013, pp. 189-202.
IEEE DOI 1301
BibRef

Liu, H.X.[Hai-Xiao], Song, B.[Bin], Qin, H.[Hao], Qiu, Z.L.[Zhi-Liang],
An Adaptive-ADMM Algorithm With Support and Signal Value Detection for Compressed Sensing,
SPLetters(20), No. 4, April 2013, pp. 315-318.
IEEE DOI 1303
adaptive alternating direction method BibRef

Ahn, S.[Sangwoo], Park, J.[Jongjoo], Luo, L.[Linbo], Chong, J.[Jongwha],
Movement Awareness-Adaptive Spatio Temporal Noise Reduction in Video,
IEICE(E97-D), No. 2, February 2013, pp. 380-383.
WWW Link. 1402
BibRef

Pinto, A.M.[Andry Maykol], Costa, P.G.[Paulo G.], Correia, M.V.[Miguel V.], Moreira, A.P.[A. Paulo],
Enhancing dynamic videos for surveillance and robotic applications: The robust bilateral and temporal filter,
SP:IC(29), No. 1, 2014, pp. 80-95.
Elsevier DOI 1402
Spatiotemporal filter BibRef

Pinto, A.M.[Andry Maykol], Correia, M.V.[Miguel V.], Moreira, A.P.[A. Paulo], Costa, P.G.[Paulo G.],
Unsupervised flow-based motion analysis for an autonomous moving system,
IVC(32), No. 6-7, 2014, pp. 391-404.
Elsevier DOI 1406
Motion segmentation BibRef

Hung, E.M., Garcia, D.C., de Queiroz, R.L.,
Example-based Enhancement of Degraded Video,
SPLetters(21), No. 9, Sept 2014, pp. 1140-1144.
IEEE DOI 1406
Degradation BibRef

Bruni, V.[Vittoria], de Canditiis, D.[Daniela], Vitulano, D.[Domenico],
Speed up of Video Enhancement based on Human Perception,
SIViP(8), No. 7, October 2014, pp. 1199-1209.
Springer DOI 1410
BibRef

Basile, M.C.[Maria Carmela], Bruni, V.[Vittoria], Vitulano, D.[Domenico],
A CSF-Based Preprocessing Method for Image Deblurring,
ACIVS17(602-614).
Springer DOI 1712
BibRef

Peng, Z.J.[Zong-Ju], Chen, F.[Fen], Jiang, G.Y.[Gang-Yi], Yu, M.[Mei], Shao, F.[Feng], Ho, Y.S.[Yo-Song],
Depth video spatial and temporal correlation enhancement algorithm based on just noticeable rendering distortion model,
JVCIR(33), No. 1, 2015, pp. 309-322.
Elsevier DOI 1512
Three dimensional video system BibRef

Goldstein, T., Xu, L.[Lina], Kelly, K.F., Baraniuk, R.,
The STOne Transform: Multi-Resolution Image Enhancement and Compressive Video,
IP(24), No. 12, December 2015, pp. 5581-5593.
IEEE DOI 1512
compressed sensing BibRef

Szczepanski, M.[Marek],
Fast spatio-temporal digital paths video filter,
RealTimeIP(16), No. 2, April 2019, pp. 477-489.
Springer DOI 1904
Enhancement of color video. BibRef

Jammal, S.[Samer], Tillo, T.[Tammam], Xiao, J.[Jimin],
Multiview video quality enhancement without depth information,
SP:IC(75), 2019, pp. 22-31.
Elsevier DOI 1906
Multiview video, Quality enhancement, Asymmetric multiview video, Asymmetric stereoscopic video, Deep learning BibRef

Yang, R., Xu, M., Liu, T., Wang, Z., Guan, Z.,
Enhancing Quality for HEVC Compressed Videos,
CirSysVideo(29), No. 7, July 2019, pp. 2039-2054.
IEEE DOI 1907
Decoding, Videos, Transform coding, Visualization, Distortion, Encoding, Complexity theory, HEVC, quality enhancement, convolutional neural network BibRef

Xue, T.F.[Tian-Fan], Chen, B.[Baian], Wu, J.J.[Jia-Jun], Wei, D.L.[Dong-Lai], Freeman, W.T.[William T.],
Video Enhancement with Task-Oriented Flow,
IJCV(127), No. 8, August 2019, pp. 1106-1125.
Springer DOI 1907
BibRef

Chen, C.[Chong], Gris, B.[Barbara], Öktem, O.[Ozan],
A New Variational Model for Joint Image Reconstruction and Motion Estimation in Spatiotemporal Imaging,
SIIMS(12), No. 4, 2019, pp. 1686-1719.
DOI Link 1912
BibRef

Patil, P.W.[Prashant W.], Gupta, S.I.[Sun-Il], Rana, S.[Santu], Venkatesh, S.[Svetha],
Dual-frame spatio-temporal feature modulation for video enhancement,
PR(130), 2022, pp. 108822.
Elsevier DOI 2206
Multi-frame features, Spatio-temporal feature modulation, Recurrent feature sharing, Multi-weather video enhancement BibRef

Zhao, H.R.[Heng-Run], Zheng, B.[Bolun], Yuan, S.X.[Shan-Xin], Zhang, H.[Hua], Yan, C.G.[Cheng-Gang], Li, L.[Liang], Slabaugh, G.[Gregory],
CBREN: Convolutional Neural Networks for Constant Bit Rate Video Quality Enhancement,
CirSysVideo(32), No. 7, July 2022, pp. 4138-4149.
IEEE DOI 2207
Image coding, Quantization (signal), Streaming media, Bit rate, Image restoration, Transform coding, Video recording, dual-domain restoration BibRef

Tanay, T.[Thomas], Sootla, A.[Aivar], Maggioni, M.[Matteo], Dokania, P.K.[Puneet K.], Torr, P.H.S.[Philip H.S.], Leonardis, A.[Aleš], Slabaugh, G.[Gregory],
Diagnosing and Preventing Instabilities in Recurrent Video Processing,
PAMI(45), No. 2, February 2023, pp. 1594-1605.
IEEE DOI 2301
Kernel, Training, Feature extraction, Feedback loop, Video sequences, Recurrent neural networks, Convolution, Lipschitz stability, video enhancement BibRef

Shen, W.[Wang], Cheng, M.[Ming], Lu, G.[Guo], Zhai, G.T.[Guang-Tao], Chen, L.[Li], Asif, M.S.[M. Salman], Gao, Z.Y.[Zhi-Yong],
Spatial Temporal Video Enhancement Using Alternating Exposures,
CirSysVideo(32), No. 8, August 2022, pp. 4912-4926.
IEEE DOI 2208
Image restoration, Interpolation, Noise reduction, Cameras, Noise measurement, Lighting, Image reconstruction, neural network BibRef

Zhao, Y.[Yang], Ma, Y.B.[Yan-Bo], Chen, Y.[Yuan], Jia, W.[Wei], Wang, R.G.[Rong-Gang], Liu, X.P.[Xiao-Ping],
Multiframe Joint Enhancement for Early Interlaced Videos,
IP(31), 2022, pp. 6282-6294.
IEEE DOI 2210
Videos, Interpolation, Task analysis, Image reconstruction, Image restoration, Feature extraction, Convolution, Deinterlacing, early video reconstruction BibRef

Xu, Q.[Qian], Qian, Y.T.[Yun-Tao],
Bidirectional Transformer for Video Deblurring,
CirSysVideo(32), No. 12, December 2022, pp. 8450-8461.
IEEE DOI 2212
Transformers, Optical flow, Image restoration, Convolutional neural networks, Task analysis, Estimation, self-attention BibRef

Brizzi, M.[Michele], Battisti, F.[Federica], Carli, M.[Marco], Neri, A.[Alessandro],
Selective video enhancement in the Laguerre-Gauss domain,
SP:IC(110), 2023, pp. 116876.
Elsevier DOI 2212
Video enhancement, Interactivity, Laguerre-Gauss wavelet, Quality BibRef

Azadegan, H.[Hamid], Shirazi, A.A.B.[Ali-Asghar Beheshti],
Improving video quality by predicting inter-frame residuals based on an additive 3D-CNN model,
JVCIR(90), 2023, pp. 103734.
Elsevier DOI 2301
Quality improvement, Compression error, Video compression, Deep learning, Inter prediction BibRef

Fuoli, D.[Dario], Huang, Z.W.[Zhi-Wu], Paudel, D.P.[Danda Pani], Van Gool, L.J.[Luc J.], Timofte, R.[Radu],
An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement,
IJCV(131), No. 1, January 2023, pp. 1042-1059.
Springer DOI 2303
BibRef

Chen, X.[Xin], Hu, X.M.[Xue-Mei], Yue, T.[Tao],
Semi-Blindly Enhancing Extremely Noisy Videos With Recurrent Spatio-Temporal Large-Span Network,
PAMI(45), No. 7, July 2023, pp. 8984-9003.
IEEE DOI 2306
Videos, Noise reduction, Correlation, Adaptation models, Cameras, Computational modeling, Task analysis, spatio-temporal large-span BibRef

Yang, M.Y.[Ming-Yi], Zhou, X.[Xile], Yang, F.Z.[Fu-Zheng], Zhou, M.C.[Ming-Cai], Wang, H.[Hao],
PIMnet: A quality enhancement network for compressed videos with prior information modulation,
SP:IC(117), 2023, pp. 117005.
Elsevier DOI 2308
Video quality enhancement, Compressed video, Convolution neural network BibRef

Sun, L.[Lu], Wang, Y.C.[Yi-Chen], Wu, F.F.[Fang-Fang], Li, X.[Xin], Dong, W.S.[Wei-Sheng], Shi, G.M.[Guang-Ming],
Deep Unfolding Network for Efficient Mixed Video Noise Removal,
CirSysVideo(33), No. 9, September 2023, pp. 4715-4727.
IEEE DOI 2310
BibRef

Xu, N.[Ninghui], Wang, L.H.[Li-Hui], Zhao, J.J.[Jia-Jia], Yao, Z.[Zhiting],
Denoising for Dynamic Vision Sensor Based on Augmented Spatiotemporal Correlation,
CirSysVideo(33), No. 9, September 2023, pp. 4812-4824.
IEEE DOI 2310
BibRef

Han, Z.[Zhi], Wang, Y.[Yanmei], Zhang, S.J.[Shao-Jie], Fan, H.J.[Hui-Jie], Tang, Y.D.[Yan-Dong], Wang, Y.[Yao],
Online Video Sparse Noise Removing via Nonlocal Robust PCA,
MultMed(26), 2024, pp. 7130-7145.
IEEE DOI 2405
Noise reduction, Noise measurement, Estimation, Computational modeling, Sparse matrices, Task analysis, video denoising BibRef

Zhu, Q.[Qiang], Qiu, Y.J.[Ya-Jun], Liu, Y.[Yu], Zhu, S.Y.[Shu-Yuan], Zeng, B.[Bing],
Compressed Video Quality Enhancement With Temporal Group Alignment and Fusion,
SPLetters(31), 2024, pp. 1565-1569.
IEEE DOI 2406
Correlation, Fuses, Feature extraction, Iron, Complexity theory, Quality assessment, Gain, Compressed video, quality enhancement, correlation BibRef

Wang, Z.N.[Zheng-Ning], Liu, X.[Xuhang], Wang, C.[Chuan], Jiang, T.[Ting], Zeng, T.J.[Tian-Jiao], Zeng, Z.[Zhenni], Wang, G.Q.[Guo-Qing], Liu, S.C.[Shuai-Cheng],
Reconstruction flow recurrent network for compressed video quality enhancement,
PR(155), 2024, pp. 110638.
Elsevier DOI 2408
Video coding, Video quality enhancement, Flow reconstruction BibRef

Ma, D.[Di], Zhang, F.[Fan], Bull, D.R.[David R.],
CVEGAN: A perceptually-inspired GAN for Compressed Video Enhancement,
SP:IC(127), 2024, pp. 117127.
Elsevier DOI 2408
CVEGAN, GAN, Perceptual loss, ReSphereGAN, MulRes, ERNB, ECBAM, HEVC, VVC BibRef

Huang, Z.[Ziyin], Chan, Y.L.[Yui-Lam], Tsang, S.H.[Sik-Ho], Kwong, N.W.[Ngai-Wing], Lam, K.M.[Kin-Man], Ling, W.K.[Wing-Kuen],
Spatio-temporal feature learning for enhancing video quality based on screen content characteristics,
JVCIR(104), 2024, pp. 104270.
Elsevier DOI 2411
Screen content video, Quality enhancement, Deep learning BibRef

Ehrlich, M.[Max], Barker, J.[Jon], Padmanabhan, N.[Namitha], Davis, L.[Larry], Tao, A.[Andrew], Catanzaro, B.[Bryan], Shrivastava, A.[Abhinav],
Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement,
WACV24(1506-1516)
IEEE DOI 2404
Quantization (signal), Social networking (online), Computational modeling, Rate-distortion, Video compression, Smartphones / end user devices BibRef

Sun, G.X.[Guan-Xiong], Wang, C.[Chi], Zhang, Z.Y.[Zhao-Yu], Deng, J.K.[Jian-Kang], Zafeiriou, S.[Stefanos], Hua, Y.[Yang],
Spatio-temporal Prompting Network for Robust Video Feature Extraction,
ICCV23(13541-13551)
IEEE DOI Code:
WWW Link. 2401
BibRef

Ali, M.K.[Muhammad Kashif], Kim, D.J.[Dong-Jin], Kim, T.H.[Tae Hyun],
Task Agnostic Restoration of Natural Video Dynamics,
ICCV23(13488-13498)
IEEE DOI Code:
WWW Link. 2401
BibRef

Niu, M.[Muyao], Zhong, Z.H.[Zhi-Hang], Zheng, Y.Q.[Yin-Qiang],
NIR-assisted Video Enhancement via Unpaired 24-hour Data,
ICCV23(10744-10754)
IEEE DOI Code:
WWW Link. 2401
BibRef

Misra, K.[Kiran], Segall, A.[Andrew], Choi, B.[Byeongdoo],
Reduced Complexity Multiscale CNN for in-Loop Video Restoration,
ICIP23(930-934)
IEEE DOI 2312
BibRef

Li, D.S.[Da-Song], Shi, X.Y.[Xiao-Yu], Zhang, Y.[Yi], Cheung, K.C.[Ka Chun], See, S.[Simon], Wang, X.G.[Xiao-Gang], Qin, H.W.[Hong-Wei], Li, H.S.[Hong-Sheng],
A Simple Baseline for Video Restoration with Grouped Spatial-Temporal Shift,
CVPR23(9822-9832)
IEEE DOI 2309
BibRef

Patil, P.W.[Prashant W.], Gupta, S.I.[Sun-Il], Rana, S.[Santu], Venkatesh, S.[Svetha],
Video Restoration Framework and Its Meta-adaptations to Data-Poor Conditions,
ECCV22(XXVIII:143-160).
Springer DOI 2211
BibRef

Joshi, U.[Urvang], Chen, Y.[Yue], Mukherjee, D.[Debargha], Guleryuz, O.[Onur], Li, S.[Shan], Chong, I.S.[In Suk],
Switchable CNN-Based Same-Resolution and Super-Resolution In-Loop Restoration for Next Generation Video Codecs,
ICIP22(1946-1950)
IEEE DOI 2211
Filtering, Superresolution, Pipelines, Switches, Media, Hardware, Image restoration, AV1, super-resolution, restoration, CNN, in-loop filtering BibRef

Conde, M.V.[Marcos V.], Vasluianu, F.[Florin], Vazquez-Corral, J.[Javier], Timofte, R.[Radu],
Perceptual Image Enhancement for Smartphone Real-Time Applications,
WACV23(1848-1858)
IEEE DOI 2302
Performance evaluation, Runtime, Image resolution, Computational modeling, Memory management, Benchmark testing, Visualization BibRef

Vasluianu, F.[Florin], Timofte, R.[Radu],
Efficient Video Enhancement Transformer,
ICIP22(4068-4072)
IEEE DOI 2211
Visualization, Image coding, Refining, Memory management, Streaming media, Transformers, Real-time systems, transformer, enhancement BibRef

Kim, J.W.[Jong-Wan], Lee, D.J.[Dong-Jin], Na, B.[Byunggook], Park, S.[Seongsik], Jo, J.[Jeonghee], Yoon, S.[Sungroh],
Notice of Retraction: E2V-SDE: From Asynchronous Events to Fast and Continuous Video Reconstruction via Neural Stochastic Differential Equations,
CVPR22(19374-19383)
IEEE DOI 2210
BibRef

Zhang, C.[Cheng], Su, S.[Shaolin], Zhu, Y.[Yu], Yan, Q.[Qingsen], Sun, J.Q.[Jin-Qiu], Zhang, Y.N.[Yan-Ning],
Exploring and Evaluating Image Restoration Potential in Dynamic Scenes,
CVPR22(2057-2066)
IEEE DOI 2210
Degradation, Power measurement, Filtering, Computational modeling, Dynamics, Predictive models, Cameras, Low-level vision, Datasets and evaluation BibRef

Huang, C.[Cong], Li, J.H.[Jia-Hao], Li, B.[Bin], Liu, D.[Dong], Lu, Y.[Yan],
Neural Compression-Based Feature Learning for Video Restoration,
CVPR22(5862-5871)
IEEE DOI 2210
Representation learning, Quantization (signal), Codecs, Costs, Noise reduction, Information filters, Low-level vision BibRef

Lo, S.Y.[Shao-Yuan], Valanarasu, J.M.J.[Jeya Maria Jose], Patel, V.M.[Vishal M.],
Overcomplete Representations Against Adversarial Videos,
ICIP21(1939-1943)
IEEE DOI 2201
Deep learning, Additives, Target recognition, Focusing, Network architecture, Robustness, Overcomplete representation, video restoration BibRef

Haris, M., Shakhnarovich, G., Ukita, N.,
Space-Time-Aware Multi-Resolution Video Enhancement,
CVPR20(2856-2865)
IEEE DOI 2008
Spatial resolution, Training, Interpolation, Feature extraction, Image reconstruction, Transforms, Task analysis BibRef

Zhang, Y., Liu, S.,
Non-uniform Illumination Video Enhancement Based on Zone System and Fusion,
ICPR18(2711-2716)
IEEE DOI 1812
Lighting, Image fusion, Image sequences, Histograms, Smoothing methods, Reflectivity, Filtering, video enhancement, fusion BibRef

Chen, X.T.[Xiong-Tao], Wang, W.M.[Wen-Min], Wang, J.Z.[Jin-Zhuo],
Long-term video interpolation with bidirectional predictive network,
VCIP17(1-4)
IEEE DOI 1804
image sequences, interpolation, learning (artificial intelligence), motion estimation, BibRef

Sang, N.T.[Nguyen Thanh], My, N.V.T.[Nguyen Van The], An, H.V.[Huynh Van], Lung, V.D.[Vu Duc],
A novel method for video enhancement: RGB local context-based fusion,
ICVNZ15(1-6)
IEEE DOI 1701
computational complexity BibRef

Wu, X., Li, Z., Deng, X.,
Video Restoration Against Yin-Yang Phasing,
ICCV15(549-557)
IEEE DOI 1602
Cameras BibRef

Sheng, L.[Lu], Ngan, K.N.[King Ngi], Li, S.N.[Song-Nan],
Temporal depth video enhancement based on intrinsic static structure,
ICIP14(2893-2897)
IEEE DOI 1502
Approximation methods BibRef

Tian, D.[Dong], Mansour, H.[Hassan], Vetro, A.[Anthony], Wang, Y.Z.[Yong-Zhe], Ortega, A.[Antonio],
Depth-assisted stereo video enhancement using graph-based approaches,
ICIP14(71-75)
IEEE DOI 1502
Image enhancement BibRef

Conte, D.[Donatello], Damiand, G.[Guillaume],
Remove Noise in Video with 3D Topological Maps,
SSSPR14(213-222).
Springer DOI 1408
BibRef

Jiang, X.S.[Xue-Song], Yao, H.X.[Hong-Xun], Zhang, S.P.[Sheng-Ping], Lu, X.S.[Xiu-Sheng], Zeng, W.[Wei],
Night video enhancement using improved dark channel prior,
ICIP13(553-557)
IEEE DOI 1402
Atmospheric modeling BibRef

Xu, N.[Ning], Lin, W.Y.[Wei-Yao], Zhou, Y.[Yu], Chen, Y.Z.[Yuan-Zhe], Chen, Z.Z.[Zhen-Zhong], Li, H.X.[Hong-Xiang],
A new global-based video enhancement algorithm by fusing features of multiple region-of-interests,
VCIP11(1-4).
IEEE DOI 1201
BibRef

Rao, Y.[Yunbo], Chen, Z.H.[Zhong-Ho], Sun, M.T.[Ming-Ting], Hsu, Y.F.[Yu-Feng], Zhang, Z.Y.[Zheng-You],
An effecive night video enhancement algorithm,
VCIP11(1-4).
IEEE DOI 1201
BibRef

Hess-Flores, M.[Mauricio], Duchaineau, M.A.[Mark A.], Joy, K.I.[Kenneth I.],
Sequential Reconstruction Segment-Wise Feature Track and Structure Updating Based on Parallax Paths,
ACCV12(III:636-649).
Springer DOI 1304
BibRef

Knoblauch, D.[Daniel], Hess-Flores, M.[Mauricio], Duchaineau, M.A.[Mark A.], Joy, K.I.[Kenneth I.], Kuester, F.[Falko],
Non-Parametric Sequential Frame Decimation for Scene Reconstruction in Low-Memory Streaming Environments,
ISVC11(I: 359-370).
Springer DOI 1109
BibRef

Cetin, M.[Mert], Hamzaoglu, I.[Ilker],
An Adaptive True Motion Estimation Algorithm for Frame Rate Conversion of High Definition Video,
ICPR10(4109-4112).
IEEE DOI 1008
BibRef

Nguyen, V.A.[Viet Anh], Tan, Y.P.[Yap-Peng], Chen, Z.Z.[Zhen-Zhong],
On the method of multicopy video enhancement in transform domain,
ICIP09(2777-2780).
IEEE DOI 0911
BibRef

Kaprykowsky, H.[Hagen], Liu, M.[Mohan], Ndjiki-Nya, P.[Patrick],
Restoration of digitized video sequences: An efficient drop-out detection and removal framework,
ICIP09(85-88).
IEEE DOI 0911
BibRef

Fujibayashi, A.[Akira], Boon, C.S.[Choong Seng],
Application of motion sharpening effect in video coding,
ICIP08(2848-2851).
IEEE DOI 0810
BibRef

Vaswani, N.[Namrata],
Kalman filtered Compressed Sensing,
ICIP08(893-896).
IEEE DOI 0810
Reconstruct sequence of spatially sparse signals. BibRef

Jain, C.[Chirag], Sethuraman, S.[Sriram],
A low-complexity, motion-robust, spatio-temporally adaptive video de-noiser with in-loop noise estimation,
ICIP08(557-560).
IEEE DOI 0810
BibRef

Vo, D.T.[Dung T.], Nguyen, T.Q.[Truong Q.],
Optimal motion compensated spatio-temporal filter for quality enhancement of H.264/AVC compressed video sequences,
ICIP09(3173-3176).
IEEE DOI 0911
BibRef
Earlier:
Directional motion-compensated spatio-temporal fuzzy filtering for quality enhancement of compressed video sequences,
ICIP08(3156-3159).
IEEE DOI 0810
BibRef

Pantoja, M.[Maria], Ling, N.[Nam],
Transcoding with quality enhancement and irregular sampling,
ICIP08(2852-2855).
IEEE DOI 0810
BibRef

Angelopoulou, M.E.[Maria E.], Bouganis, C.S.[Christos-Savvas], Cheung, P.Y.K.[Peter Y. K.],
Video enhancement on an adaptive image sensor,
ICIP08(681-684).
IEEE DOI 0810
BibRef

Tanaka, M.[Masayuki], Yaguchi, Y.[Yoichi], Okutomi, M.[Masatoshi],
Robust and accurate estimation of multiple motions for whole-image super-resolution,
ICIP08(649-652).
IEEE DOI 0810
BibRef

Zlokolica, V., Katona, M., Juenke, M., Krajacevic, Z., Teslic, N., Temerinac, M.,
Real-Time Wavelet-Spatial-Activity-Based Adaptive Video Enhancement Algorithm for FPGA,
ACIVS08(xx-yy).
Springer DOI 0810
BibRef

Morse, B.S.[Bryan S.], Gerhardt, D.[Damon], Engh, C.[Cameron], Goodrich, M.A.[Michael A.], Rasmussen, N.D.[Nathan D.], Thornton, D.R.[Daniel R.], Eggett, D.[Dennis],
Application and evaluation of spatiotemporal enhancement of live aerial video using temporally local mosaics,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Zappi, P., Farella, E., Benini, L.,
Enhancing the spatial resolution of presence detection in a PIR based wireless surveillance network,
AVSBS07(295-300).
IEEE DOI 0709
BibRef

Malm, H.[Henrik], Oskarsson, M.[Magnus], Warrant, E.[Eric], Clarberg, P.[Petrik], Hasselgren, J.[Jon], Lejdfors, C.[Calle],
Adaptive enhancement and noise reduction in very low light-level video,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Mittal, G., Locharam, S., Sasi, S., Shaffer, G.R., Kumar, A.K.,
An Efficient Video Enhancement Method Using LA*B* Analysis,
AVSBS06(66-66).
IEEE DOI 0611
BibRef

Gooßen, A.[André], Schlüter, M.[Mathias], Pralow, T.[Thomas], Grigat, R.R.[Rolf-Rainer],
A Stitching Algorithm for Automatic Registration of Digital Radiographs,
ICIAR08(xx-yy).
Springer DOI 0806
BibRef

Bagdanov, A.D.[Andrew D.], del Bimbo, A.[Alberto], Nunziati, W.[Walter],
Improving evidential quality of surveillance imagery through active face tracking,
ICPR06(III: 1200-1203).
IEEE DOI 0609
BibRef

Murroni, M.[Maurizio], Soro, G.[Giulio],
Video Rendering: Zooming Video Using Fractals,
VLBV05(84-91).
Springer DOI 0509
BibRef

Toivonen, T.[Tuukka], Heikkilä, J.[Janne],
Reduced Frame Quantization in Video Coding,
VLBV05(61-67).
Springer DOI 0509
BibRef

Li, J.[Jing], Li, S.Z., Pan, Q.[Quan], Yang, T.[Tao],
Illumination and motion-based video enhancement for night surveillance,
PETS05(169-175).
IEEE DOI 0602
BibRef

Ferreira, P.E., Torreao, J.R.A., Carvalho, P.C.P., Velho, L.,
Video Interpolation Through Green's Functions of Matching Equations,
ICIP05(III: 1080-1083).
IEEE DOI 0512
BibRef

Budagavi, M.,
Video Compression using Blur Compensation,
ICIP05(II: 882-885).
IEEE DOI 0512
BibRef

Ablavsky, V., Snorrason, M., Taylor, C.J.,
Real-time autonomous video enhancement system (RAVE),
ICIP02(II: 317-320).
IEEE DOI 0210
BibRef

Skoneczny, S.[Slawomir], Iwanowski, M.[Marcin],
On Restoration of Degraded Cinematic Sequences by Means of Digital Image Processing,
CAIP01(419 ff.).
Springer DOI 0210
BibRef

Woods, J.,
Out-lier Removal Algorithm for Model-based Coded Video,
ICIP01(III: 110-113).
IEEE DOI 0108
BibRef

Tourapis, A., Cheong, H., Liou, M.L., Au, O.C.,
Temporal Interpolation of Video Sequences Using Zonal Based Algorithms,
ICIP01(III: 895-898).
IEEE DOI 0108
BibRef

Taubman, D.S.,
Generalized Wiener Reconstruction of Images from Colour Sensor Data Using a Scale Invariant Prior,
ICIP00(Vol III: 801-804).
IEEE DOI 0008
BibRef

Borman, S.[Sean], Stevenson, R.L.[Robert L.],
Simultaneous Multi-frame MAP Super-Resolution Video Enhancement using Spatio-temporal Priors,
ICIP99(III:469-473).
IEEE DOI BibRef 9900

Doo, S.J.[Seok Joo], Kang, M.G.[Moon Gi],
Generalized Adaptive Spatio-Temporal Auto-regressive Model for Video Sequence Restoration,
ICIP99(I:185-188).
IEEE DOI BibRef 9900

Tsai, C.J.[Chun-Jen], Karunaratne, P.[Passant], Galatsanos, N.P.[Nikolas P.], Katsaggelos, A.K.[Aggelos K.],
A compressed video enhancement algorithm,
ICIP99(III:454-458).
IEEE DOI BibRef 9900

Kokaram, A.C.[Anil C.],
Reconstruction of severely degraded image sequences,
CIAP97(II: 773-780).
Springer DOI 9709
BibRef

Rabiee, H.R., Radha, H., Kashyap, R.L.,
Error Concealment of Still Image and Video Streams with Multidirectional Recursive Nonlinear Filters,
ICIP96(II: 37-40).
IEEE DOI 9610
BibRef

Ohara, K., Takeda, A., Sextro, G.,
Video signal enhancement optimized on SVP2,
ICIP96(II: 177-180).
IEEE DOI 9610
BibRef

Yan, L.[Li],
A nonlinear algorithm for enhancing low bit-rate coded motion video sequence,
ICIP94(II: 923-927).
IEEE DOI 9411
BibRef

Hier, R.G., DeForest, S.E.,
Image content based improvements to locally adaptive video enhancement,
ICIP94(III: 621-624).
IEEE DOI 9411
BibRef

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Video Super-Resolution, Resolution Enhancement .