19.4.3.1 Handheld, Burst Super Resolution

Chapter Contents (Back)
Super Resolution. Burst Super Resolution. Handheld Super Resolution.

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


Wei, P.X.[Peng-Xu], Sun, Y.J.[Yu-Jing], Guo, X.[Xingbei], Liu, C.[Chang], Li, G.B.[Guan-Bin], Chen, J.[Jie], Ji, X.Y.[Xiang-Yang], Lin, L.[Liang],
Towards Real-World Burst Image Super-Resolution: Benchmark and Method,
ICCV23(13187-13196)
IEEE DOI Code:
WWW Link. 2401
BibRef

Bhat, G.[Goutam], Gharbi, M.[MichaŽl], 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 .


Last update:May 6, 2024 at 15:50:14