9.4.5.1 Reflection Removal

Chapter Contents (Back)
Reflections. Reflection Reomoval.

Cheong, J.Y., Simon, C., Kim, C.S., Park, I.K.,
Reflection Removal Under Fast Forward Camera Motion,
IP(26), No. 12, December 2017, pp. 6061-6073.
IEEE DOI 1710
Image reconstruction, Optical imaging, Videos, Black box camera, average image prior, dirt removal, fast forward motion, layer separation, reflection, removal BibRef

Han, B.J., Sim, J.Y.,
Glass Reflection Removal Using Co-Saliency-Based Image Alignment and Low-Rank Matrix Completion in Gradient Domain,
IP(27), No. 10, October 2018, pp. 4873-4888.
IEEE DOI 1808
BibRef
Earlier:
Reflection Removal Using Low-Rank Matrix Completion,
CVPR17(3872-3880)
IEEE DOI 1711
feature extraction, gradient methods, image reconstruction, reflection removal algorithm, transmission image, co-saliency based image alignment. Cameras, Color, Glass, Image color analysis, Image edge detection, Reliability BibRef

Li, T.T.[Ting-Tian], Lun, D.P.K.[Daniel P. K.], Chan, Y.H.[Yuk-Hee], Budianto,
Robust Reflection Removal Based on Light Field Imaging,
IP(28), No. 4, April 2019, pp. 1798-1812.
IEEE DOI 1901
estimation theory, image denoising, image enhancement, iterative methods, object detection, background image, image separation BibRef

Chang, Y.[Yakun], Jung, C.[Cheolkon],
Single Image Reflection Removal Using Convolutional Neural Networks,
IP(28), No. 4, April 2019, pp. 1954-1966.
IEEE DOI 1901
convolution, feedforward neural nets, image capture, image resolution, image restoration, layer separation BibRef

Sun, J.[Jun], Chang, Y.[Yakun], Jung, C.K.[Cheol-Kon], Feng, J.W.[Jia-Wei],
Multi-Modal Reflection Removal Using Convolutional Neural Networks,
SPLetters(26), No. 7, July 2019, pp. 1011-1015.
IEEE DOI 1906
convolutional neural nets, feature extraction, image colour analysis, image denoising, image enhancement, reflection removal BibRef

Li, T., Lun, D.P.K.,
Single-Image Reflection Removal via a Two-Stage Background Recovery Process,
SPLetters(26), No. 8, August 2019, pp. 1237-1241.
IEEE DOI 1908
edge detection, gradient methods, image restoration, learning (artificial intelligence), neural nets, deep neural network BibRef

Chang, Y.[Yakun], Jung, C.[Cheolkon], Sun, J.[Jun], Wang, F.Q.[Feng-Qiao],
Siamese Dense Network for Reflection Removal with Flash and No-Flash Image Pairs,
IJCV(128), No. 6, June 2020, pp. 1673-1698.
Springer DOI 2006
BibRef

Jiang, N.F.[Nan-Feng], Niu, Y.Z.[Yu-Zhen], Chen, W.L.[Wei-Ling], Lin, L.Q.[Li-Qun], Mustafa, N.[Nadir], Zhao, T.S.[Tie-Song],
Single image reflection removal based on structure-texture layering,
SP:IC(86), 2020, pp. 115868.
Elsevier DOI 2006
Reflection removal, Structure-Texture, Artifacts BibRef

Zhang, H., Xu, X., He, H., He, S., Han, G., Qin, J., Wu, D.,
Fast User-Guided Single Image Reflection Removal via Edge-Aware Cascaded Networks,
MultMed(22), No. 8, August 2020, pp. 2012-2023.
IEEE DOI 2007
Image edge detection, Tools, Optimization, Image reconstruction, Pipelines, Image color analysis, Detectors, Reflection removal, convolutional neural network BibRef

Wan, R.J.[Ren-Jie], Shi, B.X.[Bo-Xin], Li, H.L.[Hao-Liang], Duan, L.Y.[Ling-Yu], Tan, A.H.[Ah-Hwee], Kot, A.C.[Alex C.],
CoRRN: Cooperative Reflection Removal Network,
PAMI(42), No. 12, December 2020, pp. 2969-2982.
IEEE DOI 2011
BibRef
Earlier: A1, A2, A4, A5, A6, Only:
CRRN: Multi-scale Guided Concurrent Reflection Removal Network,
CVPR18(4777-4785)
IEEE DOI 1812
Deep learning, Cooperative systems, Task analysis, Feature extraction, Pattern analysis, Reflection removal, cooperative framework. Training, Glass, Cameras, Training data BibRef

Li, T., Chan, Y.H., Lun, D.P.K.,
Improved Multiple-Image-Based Reflection Removal Algorithm Using Deep Neural Networks,
IP(30), 2021, pp. 68-79.
IEEE DOI 2011
Reflection, Image edge detection, Generative adversarial networks, Imaging, Optimization, generative adversarial network BibRef

Wang, X.Y.[Xiu-Yuan], Pan, Y.K.[Yi-Kun], Lun, D.P.K.[Daniel P.K.],
Stereoscopic image reflection removal based on Wasserstein Generative Adversarial Network,
VCIP20(148-151)
IEEE DOI 2102
Image edge detection, Reflection, Stereo image processing, Training, Generators, Image reconstruction, stereoscopic images BibRef

Yun, J.S.[Jae-Seong], Sim, J.Y.[Jae-Young],
Virtual Point Removal for Large-Scale 3D Point Clouds with Multiple Glass Planes,
PAMI(43), No. 2, February 2021, pp. 729-744.
IEEE DOI 2101
Glass reflections. Glass, Laser radar, Trajectory, Image edge detection, Surface emitting lasers, Buildings, LiDAR BibRef

Wan, R.J.[Ren-Jie], Shi, B.X.[Bo-Xin], Li, H.L.[Hao-Liang], Duan, L.Y.[Ling-Yu], Kot, A.C.[Alex C.],
Face Image Reflection Removal,
IJCV(129), No. 2, February 2021, pp. 385-399.
Springer DOI 2102
From capture through glass. BibRef

Zhu, W.B.[Wen-Bin], Wu, X.T.[Xiao-Ting], Chen, H.[Hao], Luo, X.[Xin], Zhong, S.J.[Sheng-Jie],
Encode Imaging System Parameters as Distribution to Improve Reflection Generation and Removal,
SPLetters(28), 2021, pp. 1360-1364.
IEEE DOI 2107
Glass, Generators, Cameras, Training, Task analysis, Generative adversarial networks, Optical signal processing, image reflection removal BibRef

Li, Y.N.[Yue-Nan], Yan, Q.X.[Qi-Xin], Zhang, K.S.[Kuang-Shi], Xu, H.[Haoyu],
Image Reflection Removal via Contextual Feature Fusion Pyramid and Task-Driven Regularization,
CirSysVideo(32), No. 2, February 2022, pp. 553-565.
IEEE DOI 2202
Task analysis, Feature extraction, Training, Semantics, Neural networks, Image restoration, Inference algorithms, task-driven regularization BibRef

Peng, Y.T.[Yan-Tsung], Cheng, K.H.[Kai-Han], Fang, I.S.[I-Sheng], Peng, W.Y.[Wen-Yi], Wu, J.S.[Jr-Shian],
Single Image Reflection Removal Based on Knowledge-Distilling Content Disentanglement,
SPLetters(29), 2022, pp. 568-572.
IEEE DOI 2202
Feature extraction, Training, Strips, Propagation losses, Image reconstruction, Loss measurement, Knowledge transfer, content disentanglement BibRef

Li, J.J.[Jin-Jiang], Li, G.[Guihui], Fan, H.[Hui],
Image reflection removal using end-to-end convolutional neural network,
IET-IPR(14), No. 6, 11 May 2020, pp. 1047-1058.
DOI Link 2005
BibRef

Pang, Y.X.[You-Xin], Yuan, M.K.[Meng-Ke], Fu, Q.[Qiang], Ren, P.R.[Pei-Ran], Yan, D.M.[Dong-Ming],
Progressive polarization based reflection removal via realistic training data generation,
PR(124), 2022, pp. 108497.
Elsevier DOI 2203
Deep learning, Reflection removal, Polarization, Progressive network, Convolutional neural networks BibRef


Prasad, B.H.P.[B.H. Pawan], Green Rosh, K.S., Lokesh, R.B., Mitra, K.[Kaushik], Chowdhury, S.[Sanjoy],
V-DESIRR: Very Fast Deep Embedded Single Image Reflection Removal,
ICCV21(2370-2379)
IEEE DOI 2203
Deep learning, Image resolution, Limiting, Computational modeling, Memory management, Random access memory, Vision applications and systems BibRef

Dong, Z.[Zheng], Xu, K.[Ke], Yang, Y.[Yin], Bao, H.J.[Hu-Jun], Xu, W.W.[Wei-Wei], Lau, R.W.H.[Rynson W.H.],
Location-aware Single Image Reflection Removal,
ICCV21(4997-5006)
IEEE DOI 2203
Laplace equations, Codes, Probabilistic logic, Feature extraction, Reflection, Kernel, Low-level and physics-based vision, Image and video synthesis BibRef

Zheng, Q.L.[Quan-Long], Qiao, X.T.[Xiao-Tian], Cao, Y.[Ying], Guo, S.[Shi], Zhang, L.[Lei], Lau, R.[Rynson],
Distilling Reflection Dynamics for Single-Image Reflection Removal,
AIM21(1886-1894)
IEEE DOI 2112
Knowledge engineering, Dynamics, Training data, Glass, Cameras, Reflection, Image sequences BibRef

Lei, C.Y.[Chen-Yang], Chen, Q.F.[Qi-Feng],
Robust Reflection Removal with Reflection-free Flash-only Cues,
CVPR21(14806-14815)
IEEE DOI 2111
Codes, Computational modeling, Computer architecture, Reflection, Pattern recognition BibRef

Hong, Y.C.[Yu-Chen], Zheng, Q.[Qian], Zhao, L.R.[Ling-Ran], Jiang, X.D.[Xu-Dong], Kot, A.C.[Alex C.], Shi, B.X.[Bo-Xin],
Panoramic Image Reflection Removal,
CVPR21(7758-7767)
IEEE DOI 2111
Cameras, Reflection, Mobile handsets, Pattern recognition, Image restoration BibRef

Zheng, Q.[Qian], Shi, B.X.[Bo-Xin], Chen, J.N.[Jin-Nan], Jiang, X.D.[Xu-Dong], Duan, L.Y.[Ling-Yu], Kot, A.C.[Alex C.],
Single Image Reflection Removal with Absorption Effect,
CVPR21(13390-13399)
IEEE DOI 2111
Absorption, Lighting, Estimation, Distortion, Reflection, Data models BibRef

Wan, R., Shi, B., Li, H., Duan, L., Kot, A.C.,
Reflection Scene Separation From a Single Image,
CVPR20(2395-2403)
IEEE DOI 2008
Glass, Reflection, Cameras, Mirrors, Training, Degradation, Image restoration BibRef

Niklaus, S.[Simon], Zhang, X.C.[Xuaner Cecilia], Barron, J.T.[Jonathan T.], Wadhwa, N.[Neal], Garg, R.[Rahul], Liu, F.[Feng], Xue, T.F.[Tian-Fan],
Learned Dual-View Reflection Removal,
WACV21(3712-3721)
IEEE DOI 2106
Training, Virtual environments, Estimation, Cameras, Rendering (computer graphics) BibRef

Chang, Y.C.[Ya-Chu], Lu, C.N.[Chia-Ni], Cheng, C.C.[Chia-Chi], Chiu, W.C.[Wei-Chen],
Single Image Reflection Removal with Edge Guidance, Reflection Classifier, and Recurrent Decomposition,
WACV21(2032-2041)
IEEE DOI 2106
Image color analysis, Image edge detection, Computational modeling, Estimation, Glass BibRef

Ye, S.T.[Shi-Ting], Yin, J.L.[Jia-Li], Chen, B.H.[Bo-Hao], Chen, D.W.[De-Wang], Wu, Y.B.[Yun-Bing],
Single Image Glare Removal Using Deep Convolutional Networks,
ICIP20(201-205)
IEEE DOI 2011
Decoding, Training, Rain, Testing, Atmospheric modeling, Image recognition, Text recognition, Glare removal, electronic toll collection BibRef

Lei, C., Huang, X., Zhang, M., Yan, Q., Sun, W., Chen, Q.,
Polarized Reflection Removal With Perfect Alignment in the Wild,
CVPR20(1747-1755)
IEEE DOI 2008
Glass, Pipelines, Data collection, Sensors, Machine learning, Cameras, Light sources BibRef

Li, C., Yang, Y., He, K., Lin, S., Hopcroft, J.E.,
Single Image Reflection Removal Through Cascaded Refinement,
CVPR20(3562-3571)
IEEE DOI 2008
Image reconstruction, Training, Image edge detection, Glass, Imaging, Training data, Neural networks BibRef

Kim, S., Huo, Y., Yoon, S.,
Single Image Reflection Removal With Physically-Based Training Images,
CVPR20(5163-5172)
IEEE DOI 2008
Training, Glass, Rendering (computer graphics), Lenses, Visual effects, Attenuation BibRef

Wen, Q.A.[Qi-Ang], Tan, Y.J.[Yin-Jie], Qin, J.[Jing], Liu, W.X.[Wen-Xi], Han, G.Q.[Guo-Qiang], He, S.F.[Sheng-Feng],
Single Image Reflection Removal Beyond Linearity,
CVPR19(3766-3774).
IEEE DOI 2002
BibRef

Wei, K.X.[Kai-Xuan], Yang, J.L.[Jiao-Long], Fu, Y.[Ying], Wipf, D.[David], Huang, H.[Hua],
Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements,
CVPR19(8170-8179).
IEEE DOI 2002
BibRef

Yang, Y.[Yang], Ma, W.[Wenye], Zheng, Y.[Yin], Cai, J.F.[Jian-Feng], Xu, W.Y.[Wei-Yu],
Fast Single Image Reflection Suppression via Convex Optimization,
CVPR19(8133-8141).
IEEE DOI 2002
BibRef

Punnappurath, A.[Abhijith], Brown, M.S.[Michael S.],
Reflection Removal Using a Dual-Pixel Sensor,
CVPR19(1556-1565).
IEEE DOI 2002
BibRef

Yang, J.[Jie], Gong, D.[Dong], Liu, L.Q.[Ling-Qiao], Shi, Q.F.[Qin-Feng],
Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal,
ECCV18(III: 675-691).
Springer DOI 1810
BibRef

Shibata, T., Akai, Y., Matsuoka, R.,
Reflection Removal Using RGB-D Images,
ICIP18(1862-1866)
IEEE DOI 1809
Tensile stress, Convex functions, Minimization, Correlation, Periodic structures, Image edge detection, Optimization, total variation BibRef

Hsieh, S., Yang, Y., Yeh, C., Huang, S., Lu, Y.,
Subpixel-Level-Accurate Algorithm for Removing Double-Layered Reflections from a Single Image,
ICIP18(395-399)
IEEE DOI 1809
Kernel, Image color analysis, Brightness, Glass, Correlation, Optimization, Robustness, Reflection removal, layer separation BibRef

Wang, J.[Jun], Yang, J.Y.[Jing-Yu],
Reflection Removal for Stele Images via Sparse Signal Decomposition,
VCIP15(1-4)
IEEE DOI 1605

See also Moire Pattern Removal from Texture Images via Low-Rank and Sparse Matrix Decomposition. BibRef

Sirinukulwattana, T.[Tharatch], Choe, G.[Gyeongmin], Kweon, I.S.[In So],
Reflection removal using disparity and gradient-sparsity via smoothing algorithm,
ICIP15(1940-1944)
IEEE DOI 1512
Reflection removal; layer separation BibRef

Shih, Y.[Yi_Chang], Krishnan, D.[Dilip], Durand, F.[Fredo], Freeman, W.T.[William T.],
Reflection removal using ghosting cues,
CVPR15(3193-3201)
IEEE DOI 1510
BibRef

Simon, C.[Christian], Park, I.K.[In Kyu],
Reflection removal for in-vehicle black box videos,
CVPR15(4231-4239)
IEEE DOI 1510
BibRef

Zhao, Y.Q.[Yong-Qiang], Peng, Q.[Qunnie], Xue, J.[Jize], Kong, S.G.[Seong G.],
Specular reflection removal using local structural similarity and chromaticity consistency,
ICIP15(3397-3401)
IEEE DOI 1512
Specular reflection removal BibRef

Fu, Y.[Ying], Lam, A.[Antony], Matsushita, Y.[Yasuyuki], Sato, I.[Imari], Sato, Y.[Yoichi],
Interreflection Removal Using Fluorescence,
ECCV14(V: 203-217).
Springer DOI 1408
BibRef

Li, Y.[Yu], Brown, M.S.[Michael S.],
Single Image Layer Separation Using Relative Smoothness,
CVPR14(2752-2759)
IEEE DOI 1409
BibRef
Earlier:
Exploiting Reflection Change for Automatic Reflection Removal,
ICCV13(2432-2439)
IEEE DOI 1403
2 layers, 1 smoother than the other. BibRef

Liao, M.[Miao], Huang, X.Y.[Xin-Yu], Yang, R.G.[Rui-Gang],
Interreflection removal for photometric stereo by using spectrum-dependent albedo,
CVPR11(689-696).
IEEE DOI 1106
BibRef

Chapter on 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings continues in
Albedo, Reflectance Map from Multiple Images .


Last update:Jun 19, 2022 at 13:58:21