Punnappurath, A.,
Nimisha, T.M.,
Rajagopalan, A.N.[Ambasamudram N.],
Multi-Image Blind Super-Resolution of 3D Scenes,
IP(26), No. 11, November 2017, pp. 5337-5352.
IEEE DOI
1709
blind superresolution technique, handheld camera,
nonuniformly motion blurred low-resolution imaging,
Non-uniform blur, depth map
BibRef
Wronski, B.,
Garcia-Dorado, I.,
Ernst, M.,
Kelly, D.,
Krainin, M.,
Liang, C.,
Levoy, M.,
Milanfar, P.[Peyman],
Handheld Multi-Frame Super-Resolution,
TOG(38), 2019, pp. 28:1-28:18.
WWW Link.
As used on Google Pixel camera.
See also Handheld Multi-Frame Super-Resolution.
BibRef
1900
Lafenetre, J.[Jamy],
Facciolo, G.[Gabriele],
Eboli, T.[Thomas],
Implementing Handheld Burst Super-Resolution,
IPOL(13), 2023, pp. 227-257.
DOI Link
2307
WWW Link.
Code, Super Resolution.
See also Handheld Multi-Frame Super-Resolution.
BibRef
Luo, X.[Xianrui],
Peng, J.[Juewen],
Zhao, W.[Weiyue],
Xian, K.[Ke],
Lu, H.[Hao],
Cao, Z.G.[Zhi-Guo],
Point-and-Shoot All-in-Focus Photo Synthesis From Smartphone Camera
Pair,
CirSysVideo(33), No. 5, May 2023, pp. 2088-2101.
IEEE DOI
2305
Cameras, Lenses, Image color analysis, Light fields,
Image restoration, Apertures, Superresolution,
occlusion-aware networks
BibRef
Bhat, G.[Goutam],
Gharbi, M.[Michaël],
Chen, J.[Jiawen],
Van Gool, L.J.[Luc J.],
Xia, Z.H.[Zhi-Hao],
Self-Supervised Burst Super-Resolution,
ICCV23(10571-10580)
IEEE DOI
2401
BibRef
Given, N.A.[No Author],
Kernel-Aware Burst Blind Super-Resolution,
WACV23(4881-4891)
IEEE DOI
2302
Algorithms: Computational photography, Low-level and physics-based vision
BibRef
Hamida, A.[Adnan],
Alfarraj, M.[Motaz],
Zummo, S.A.[Salam A.],
Efficient Self-Calibrated Convolution for Real-Time Image
Super-Resolution,
ICIP22(1176-1180)
IEEE DOI
2211
PSNR, Convolution, Scalability, Superresolution, Real-time systems,
Mobile handsets, Complexity theory,
image quality assessment
BibRef
Dudhane, A.[Akshay],
Zamir, S.W.[Syed Waqas],
Khan, S.[Salman],
Khan, F.S.[Fahad Shahbaz],
Yang, M.H.[Ming-Hsuan],
Burst Image Restoration and Enhancement,
CVPR22(5749-5758)
IEEE DOI
2210
Degradation, Noise reduction, Superresolution, Pipelines, Merging,
Feature extraction, Information filters, Low-level vision,
Scene analysis and understanding
BibRef
Mehta, N.[Nancy],
Dudhane, A.[Akshay],
Murala, S.[Subrahmanyam],
Zamir, S.W.[Syed Waqas],
Khan, S.[Salman],
Khan, F.S.[Fahad Shahbaz],
Adaptive Feature Consolidation Network for Burst Super-Resolution,
NTIRE22(1278-1285)
IEEE DOI
2210
Degradation, Visualization, Adaptive systems, Superresolution,
Signal processing, Feature extraction, Transformers
BibRef
Wang, L.G.[Long-Guang],
Dong, X.Y.[Xiao-Yu],
Wang, Y.Q.[Ying-Qian],
Ying, X.Y.[Xin-Yi],
Lin, Z.P.[Zai-Ping],
An, W.[Wei],
Guo, Y.L.[Yu-Lan],
Exploring Sparsity in Image Super-Resolution for Efficient Inference,
CVPR21(4915-4924)
IEEE DOI
2111
Performance evaluation, Codes, Image edge detection,
Superresolution, Mobile handsets, Computational efficiency
BibRef
Lecouat, B.[Bruno],
Ponce, J.[Jean],
Mairal, J.[Julien],
Lucas-Kanade Reloaded:
End-to-End Super-Resolution from Raw Image Bursts,
ICCV21(2350-2359)
IEEE DOI
2203
Training, Privacy, Inverse problems, Microscopy, Superresolution,
Cameras, Noise measurement, Computational photography,
Low-level and physics-based vision
BibRef
Bhat, G.[Goutam],
Danelljan, M.[Martin],
Van Gool, L.J.[Luc J.],
Timofte, R.[Radu],
Deep Burst Super-Resolution,
CVPR21(9205-9214)
IEEE DOI
2111
Training, Photography, Superresolution, Computer architecture,
Pattern recognition, Noise measurement, Task analysis
BibRef
Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Lightweight Super Resolution .