18.4.3.17.1 Learning for High Dynamic Range Generation

Chapter Contents (Back)
High Dynamic Range. Learning. Neural Networks. Deep Learning.

Wang, J.H.[Jin-Hua], Wang, W.Q.[Wei-Qiang], Xu, G.M.[Guang-Mei], Liu, H.Z.[Hong-Zhe],
End-to-End Exposure Fusion Using Convolutional Neural Network,
IEICE(E101-D), No. 2, February 2018, pp. 560-563.
WWW Link. 1802
BibRef

Fotiadou, K., Tsagkatakis, G., Tsakalides, P.,
Spectral Super Resolution of Hyperspectral Images via Coupled Dictionary Learning,
GeoRS(57), No. 5, May 2019, pp. 2777-2797.
IEEE DOI 1905
geophysical image processing, geophysical techniques, hyperspectral imaging, image enhancement, image resolution, spectral super-resolution BibRef

Zhao, Y.[Yang], Wang, R.G.[Rong-Gang], Jia, W.[Wei], Zuo, W.M.[Wang-Meng], Liu, X.P.[Xiao-Ping], Gao, W.[Wen],
Deep Reconstruction of Least Significant Bits for Bit-Depth Expansion,
IP(28), No. 6, June 2019, pp. 2847-2859.
IEEE DOI 1905
Display low-bit image on high-bit monitor. image colour analysis, image enhancement, image reconstruction, deep reconstruction, bit-depth expansion, low bit-depth image, convolutional neural network BibRef

Ma, K.[Kede], Li, H.[Hui], Yong, H.W.[Hong-Wei], Wang, Z.[Zhou], Meng, D.Y.[De-Yu], Zhang, L.[Lei],
Robust Multi-Exposure Image Fusion: A Structural Patch Decomposition Approach,
IP(26), No. 5, May 2017, pp. 2519-2532.
IEEE DOI 1704
BibRef
Earlier: A1, A4, Only:
Multi-exposure image fusion: A patch-wise approach,
ICIP15(1717-1721)
IEEE DOI 1512
Cameras. Multi-exposure fusion, image enhancement, perceptual image processing BibRef

Li, H.[Hui], Chan, T.N.[Tsz Nam], Qi, X.B.[Xian-Biao], Xie, W.Y.[Wu-Yuan],
Detail-Preserving Multi-Exposure Fusion With Edge-Preserving Structural Patch Decomposition,
CirSysVideo(31), No. 11, November 2021, pp. 4293-4304.
IEEE DOI 2112
Image edge detection, Kernel, Dynamic range, Computational efficiency, Task analysis, Visualization, structural patch decomposition BibRef

Li, H.[Hui], Ma, K.[Kede], Yong, H.W.[Hong-Wei], Zhang, L.[Lei],
Fast Multi-Scale Structural Patch Decomposition for Multi-Exposure Image Fusion,
IP(29), 2020, pp. 5805-5816.
IEEE DOI 2005
Dynamic range, Visualization, Cameras, Heuristic algorithms, Motion detection, Standards, Multi-exposure fusion, computational photography BibRef

Wang, B.Y.[Bao-Yuan], Vesdapunt, N.[Noranart], Sinha, U.[Utkarsh], Zhang, L.[Lei],
Real-Time Burst Photo Selection Using a Light-Head Adversarial Network,
IP(29), 2020, pp. 3065-3077.
IEEE DOI 2002
Real-time systems, Mobile handsets, Head, Computational modeling, Cameras, Generative adversarial networks, Training, generative adversarial network BibRef

Ma, K.[Kede], Duanmu, Z.F.[Zheng-Fang], Zhu, H.W.[Han-Wei], Fang, Y.M.[Yu-Ming], Wang, Z.[Zhou],
Deep Guided Learning for Fast Multi-Exposure Image Fusion,
IP(29), 2020, pp. 2808-2819.
IEEE DOI 2001
Multi-exposure image fusion, convolutional neural networks, guided filtering, computational photography BibRef

Fotiadou, K., Tsagkatakis, G., Tsakalides, P.,
Snapshot High Dynamic Range Imaging via Sparse Representations and Feature Learning,
MultMed(22), No. 3, March 2020, pp. 688-703.
IEEE DOI 2003
Imaging, Dynamic range, Image reconstruction, Computer science, Streaming media, Lighting, Optimization, sparse representations BibRef

Martel, J.N.P.[Julien N. P.], Müller, L.K.[Lorenz K.], Carey, S.J.[Stephen J.], Dudek, P.[Piotr], Wetzstein, G.[Gordon],
Neural Sensors: Learning Pixel Exposures for HDR Imaging and Video Compressive Sensing With Programmable Sensors,
PAMI(42), No. 7, July 2020, pp. 1642-1653.
IEEE DOI 2006
Optical sensors, Image sensors, Image coding, High-speed optical techniques, Optical imaging, end-to-end optimization BibRef

çogalan, U., Akyüz, A.O.,
Deep Joint Deinterlacing and Denoising for Single Shot Dual-ISO HDR Reconstruction,
IP(29), 2020, pp. 7511-7524.
IEEE DOI 2007
Dual-ISO, HDR imaging, noise, deep learning BibRef

Mostafavi, M.[Mohammad], Wang, L.[Lin], Yoon, K.J.[Kuk-Jin],
Learning to Reconstruct HDR Images from Events, with Applications to Depth and Flow Prediction,
IJCV(129), No. 4, April 2021, pp. 900-920.
Springer DOI 2104
BibRef

Mostafavi, S.I.M.[S.I. Mohammad], Nam, Y.[Yeongwoo], Choi, J.H.[Jong-Hyun], Yoon, K.J.[Kuk-Jin],
E2SRI: Learning to Super-Resolve Intensity Images From Events,
PAMI(44), No. 10, October 2022, pp. 6890-6909.
IEEE DOI 2209
BibRef
Earlier: A1, A3, A4, Only:
Learning to Super Resolve Intensity Images From Events,
CVPR20(2765-2773)
IEEE DOI 2008
Image reconstruction, Cameras, Videos, Spatial resolution, Streaming media, Stacking, Optical imaging, Color events, super-resolution. Image resolution, Adaptive optics, Stacking BibRef

Guo, H., Sheng, B., Li, P., Chen, C.L.P.,
Multiview High Dynamic Range Image Synthesis Using Fuzzy Broad Learning System,
Cyber(51), No. 5, May 2021, pp. 2735-2747.
IEEE DOI 2104
Dynamic range, Learning systems, Optical imaging, Optical sensors, Image color analysis, Cameras, Image synthesis, multiview synthesis BibRef

Lee, S.[Siyeong], Jo, S.Y.[So Yeon], An, G.H.[Gwon Hwan], Kang, S.J.[Suk-Ju],
Learning to Generate Multi-Exposure Stacks With Cycle Consistency for High Dynamic Range Imaging,
MultMed(23), 2021, pp. 2561-2574.
IEEE DOI 2109
Dynamic range, Neural networks, Image restoration, Distortion, Training, Light sources, Brightness, High dynamic range imaging, deep learning BibRef

Yin, J.L.[Jia-Li], Chen, B.H.[Bo-Hao], Peng, Y.T.[Yan-Tsung],
Two Exposure Fusion Using Prior-Aware Generative Adversarial Network,
MultMed(24), 2022, pp. 2841-2851.
IEEE DOI 2206
Semantics, Decoding, Generative adversarial networks, Dynamic range, Quantization (signal), Calibration, Image fusion, deep learning BibRef

Liu, J.Y.[Jin-Yuan], Shang, J.J.[Jing-Jie], Liu, R.S.[Ri-Sheng], Fan, X.[Xin],
Attention-Guided Global-Local Adversarial Learning for Detail-Preserving Multi-Exposure Image Fusion,
CirSysVideo(32), No. 8, August 2022, pp. 5026-5040.
IEEE DOI 2208
Image edge detection, Task analysis, Image fusion, Image color analysis, Feature extraction, Deep learning, adversarial learning BibRef

Huang, F.[Feng], Lin, P.[Peng], Cao, R.J.[Rong-Jin], Zhou, B.[Bin], Wu, X.Y.[Xian-Yu],
Dictionary Learning- and Total Variation-Based High-Light-Efficiency Snapshot Multi-Aperture Spectral Imaging,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Wang, L.[Lin], Yoon, K.J.[Kuk-Jin],
Deep Learning for HDR Imaging: State-of-the-Art and Future Trends,
PAMI(44), No. 12, December 2022, pp. 8874-8895.
IEEE DOI 2212
Imaging, Image reconstruction, Loss measurement, Cameras, Deep learning, Visualization, Dynamic range, convolutional neural networks (CNNs) BibRef

Funahashi, I.[Isana], Yoshida, T.[Taichi], Zhang, X.[Xi], Iwahashi, M.[Masahiro],
Image Adjustment for Multi-Exposure Images Based on Convolutional Neural Networks,
IEICE(E105-D), No. 1, January 2022, pp. 123-133.
WWW Link. 2201
BibRef

Chen, J.[Jie], Yang, Z.F.[Zai-Feng], Chan, T.N.[Tsz Nam], Li, H.[Hui], Hou, J.H.[Jun-Hui], Chau, L.P.[Lap-Pui],
Attention-Guided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration,
IP(31), 2022, pp. 2661-2672.
IEEE DOI 2204
Feature extraction, Image restoration, Dynamic range, Cameras, Dynamics, Optical saturation, Optical imaging, visual attention BibRef

Yang, Y.J.[Ying-Jie], Wang, Y.F.[Yong-Fang], Zhang, H.[Han],
DRBR-HDR: Dual-Branch recursive band reconstruction network for HDR with large motions,
JVCIR(90), 2023, pp. 103713.
Elsevier DOI 2301
Inverse tone mapping, Band reconstruction, Global features, High dynamic range images BibRef


Huang, X.[Xin], Zhang, Q.[Qi], Feng, Y.[Ying], Li, H.D.[Hong-Dong], Wang, X.[Xuan], Wang, Q.[Qing],
HDR-NeRF: High Dynamic Range Neural Radiance Fields,
CVPR22(18377-18387)
IEEE DOI 2210
Photography, Solid modeling, Image color analysis, Computational modeling, Transforms, Computational photography BibRef

Marín-Vega, J.[Juan], Sloth, M.[Michael], Schneider-Kamp, P.[Peter], Röttger, R.[Richard],
DRHDR: A Dual branch Residual Network for Multi-Bracket High Dynamic Range Imaging,
NTIRE22(843-851)
IEEE DOI 2210
Conferences, Imaging, Dynamic range, Pattern recognition, Complexity theory, Convolutional neural networks BibRef

Yu, G.[Gaocheng], Zhang, J.[Jin], Ma, Z.[Zhe], Wang, H.B.[Hong-Bin],
Efficient Progressive High Dynamic Range Image Restoration via Attention and Alignment Network,
NTIRE22(1123-1130)
IEEE DOI 2210
Photography, Visualization, Image resolution, Image coding, Neural networks, Feature extraction, Image restoration BibRef

Vien, A.G.[An Gia], Lee, C.[Chul],
Exposure-Aware Dynamic Weighted Learning for Single-Shot HDR Imaging,
ECCV22(VII:435-452).
Springer DOI 2211
BibRef

Chen, G.Y.[Guan-Ying], Chen, C.F.[Chao-Feng], Guo, S.[Shi], Liang, Z.T.[Zhe-Tong], Wong, K.Y.K.[Kwan-Yee K.], Zhang, L.[Lei],
HDR Video Reconstruction: A Coarse-to-fine Network and A Real-world Benchmark Dataset,
ICCV21(2482-2491)
IEEE DOI 2203
Deep learning, Training, Codes, Benchmark testing, Dynamic range, Reconstruction algorithms, Computational photography, Low-level and physics-based vision BibRef

Ting, J.W.[Jui-Wen], Wu, X.S.[Xue-Song], Hu, K.K.[Kang-Kang], Zhang, H.[Hong],
Deep Snapshot HDR Reconstruction Based on the Polarization Camera,
ICIP21(1769-1773)
IEEE DOI 2201
Training, Reconstruction algorithms, Dynamic range, Cameras, Hardware, System-on-chip, Image restoration, HDR, polarization, deep learning BibRef

Mattur, S.A.[Shashaank A.], Larabi, M.C.[Mohamed-Chaker],
Deep High Dynamic Range Imaging Using Differently Exposed Stereo Images,
ICIP21(2888-2892)
IEEE DOI 2201
Training, Visualization, Merging, Deep architecture, Dynamic range, Feature extraction, HDR imaging, image fusion, encoder-decoder deep architecture BibRef

Eilertsen, G.[Gabriel], Hajisharif, S.[Saghi], Hanji, P.[Param], Tsirikoglou, A.[Apostolia], Mantiuk, R.K.[Rafal K.], Unger, J.[Jonas],
How to cheat with metrics in single-image HDR reconstruction,
LCI21(3981-3990)
IEEE DOI 2112
Measurement, Deep learning, Image quality, Visualization, Protocols, Sensitivity, Pipelines BibRef

Zou, Y.H.[Yun-Hao], Zheng, Y.Q.[Yin-Qiang], Takatani, T.[Tsuyoshi], Fu, Y.[Ying],
Learning to Reconstruct High Speed and High Dynamic Range Videos from Events,
CVPR21(2024-2033)
IEEE DOI 2111
Training, Recurrent neural networks, Reconstruction algorithms, Dynamic range, Streaming media, Cameras, Feature extraction BibRef

Afifi, M.[Mahmoud], Derpanis, K.G.[Konstantinos G.], Ommer, B.[Björn], Brown, M.S.[Michael S.],
Learning Multi-Scale Photo Exposure Correction,
CVPR21(9153-9163)
IEEE DOI 2111
Deep learning, Visualization, Image color analysis, Cameras, Pattern recognition, Image enhancement BibRef

Onzon, E.[Emmanuel], Mannan, F.[Fahim], Heide, F.[Felix],
Neural Auto-Exposure for High-Dynamic Range Object Detection,
CVPR21(7706-7716)
IEEE DOI 2111
Image sensors, Training, Pipelines, Object detection, Computer architecture, Dynamic range BibRef

Sharif, S.M.A., Naqvi, R.A.[Rizwan Ali], Biswas, M.[Mithun], Kim, S.J.[Sung-Jun],
A Two-stage Deep Network for High Dynamic Range Image Reconstruction,
NTIRE21(550-559)
IEEE DOI 2109
Learning systems, Visualization, Noise reduction, Dynamic range, Reconstruction algorithms, Cameras, Hardware BibRef

Akhil, K.A., Jiji, C.V.,
Single image HDR synthesis using a Densely Connected Dilated ConvNet,
NTIRE21(526-531)
IEEE DOI 2109
Photography, Visualization, Quantization (signal), Convolution, Dynamic range, Pattern recognition, Convolutional neural networks BibRef

Han, F., Wang, J., Xiong, R., Zhu, Q., Yin, B.,
HDR Image Compression with Convolutional Autoencoder,
VCIP20(25-28)
IEEE DOI 2102
Image reconstruction, Image coding, Transform coding, Decoding, Convolutional codes, Standards, Neural networks BibRef

Wang, Z., Zhang, J., Lin, M., Wang, J., Luo, P., Ren, J.,
Learning a Reinforced Agent for Flexible Exposure Bracketing Selection,
CVPR20(1817-1825)
IEEE DOI 2008
Semantics, Dynamic range, Lighting, Cameras, Feature extraction, Learning (artificial intelligence), Neural networks BibRef

Sun, Q., Tseng, E., Fu, Q., Heidrich, W., Heide, F.,
Learning Rank-1 Diffractive Optics for Single-Shot High Dynamic Range Imaging,
CVPR20(1383-1393)
IEEE DOI 2008
Optical sensors, Optical imaging, Optical saturation, Image reconstruction, Encoding BibRef

Baek, S.H.[Seung-Hwan], Ikoma, H.[Hayato], Jeon, D.S.[Daniel S.], Li, Y.[Yuqi], Heidrich, W.[Wolfgang], Wetzstein, G.[Gordon], Kim, M.H.[Min H.],
Single-shot Hyperspectral-Depth Imaging with Learned Diffractive Optics,
ICCV21(2631-2640)
IEEE DOI 2203
Integrated optics, Optical diffraction, Costs, Buildings, Imaging, Prototypes, Computational photography, BibRef

Metzler, C.A., Ikoma, H., Peng, Y., Wetzstein, G.,
Deep Optics for Single-Shot High-Dynamic-Range Imaging,
CVPR20(1372-1382)
IEEE DOI 2008
Optical imaging, Optical sensors, Optical saturation, Optical device fabrication, Cameras, Lenses BibRef

Liu, Y., Lai, W., Chen, Y., Kao, Y., Yang, M., Chuang, Y., Huang, J.,
Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline,
CVPR20(1648-1657)
IEEE DOI 2008
Pipelines, Image reconstruction, Cameras, Quantization (signal), Dynamic range, Training, Image sensors BibRef

Kinoshita, Y., Kiya, H.,
Convolutional Neural Networks Considering Local and Global Features for Image Enhancement,
ICIP19(2110-2114)
IEEE DOI 1910
Image enhancement, High dynamic range images, Deep learning, Convolutional neural networks BibRef

Rosh, K.S.G.[K.S. Green], Biswas, A.[Anmol], Patel, M.S.[Mandakinee Singh], Prasad, B.H.P.[B.H. Pawan],
Deep Multi-Stage Learning for HDR With Large Object Motions,
ICIP19(4714-4718)
IEEE DOI 1910
HDR, Deep Learning, Multi Exposure Fusion, Exposure Alignment BibRef

Yan, Q., Gong, D., Zhang, P., Shi, Q., Sun, J., Reid, I., Zhang, Y.,
Multi-Scale Dense Networks for Deep High Dynamic Range Imaging,
WACV19(41-50)
IEEE DOI 1904
convolutional neural nets, image motion analysis, image reconstruction, image segmentation, Cameras BibRef

Byun, J.Y.[Jun-Young], Shim, K.[Kyujin], Kim, C.[Changick],
BitNet: Learning-Based Bit-Depth Expansion,
ACCV18(II:67-82).
Springer DOI 1906
BibRef

Li, Y.W.[Ya-Wei], Tsiminaki, V.[Vagia], Timofte, R.[Radu], Pollefeys, M.[Marc], Van Gool, L.J.[Luc J.],
3D Appearance Super-Resolution With Deep Learning,
CVPR19(9663-9672).
IEEE DOI 2002
BibRef

Ignatov, A., Kobyshev, N., Timofte, R., Vanhoey, K., Van Gool, L.J.,
DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks,
ICCV17(3297-3305)
IEEE DOI 1802
cameras, image colour analysis, image enhancement, image texture, learning (artificial intelligence), mean square error methods, Training BibRef

Zhang, J., Lalonde, J.F.,
Learning High Dynamic Range from Outdoor Panoramas,
ICCV17(4529-4538)
IEEE DOI 1802
cameras, image capture, image reconstruction, image sensors, learning (artificial intelligence), regression analysis, BibRef

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
High Dynamic Range Ghosting, DeGhosting .


Last update:Jan 29, 2023 at 20:54:24