18.4.3.15.1 Hyperspectral, Spectral Reconstruction from RGB

Chapter Contents (Back)
High Dynamic Range. Hyperspectral Reconstruction.

Laamanen, H.[Hannu], Jetsu, T.[Tuija], Jaaskelainen, T.[Timo], Parkkinen, J.[Jussi],
Weighted compression of spectral color information,
JOSA-A(25), No. 6, June 2008, pp. 1383-1388.
DOI Link 0711
BibRef

Li, H.Y.[Hong-Yu], Wu, Z.J.[Zhu-Jing], Zhang, L.[Lin], Parkkinen, J.[Jussi],
SR-LLA: A novel spectral reconstruction method based on locally linear approximation,
ICIP13(2029-2033)
IEEE DOI 1402
Munsell dataset; Spectral reconstruction; locally linear approximation BibRef

Murakami, Y.[Yuri], Yamaguchi, M.[Masahiro], Ohyama, N.[Nagaaki],
Class-based spectral reconstruction based on unmixing of low-resolution spectral information,
JOSA-A(28), No. 7, July 2011, pp. 1470-1481.
WWW Link. 1107
BibRef

Li, Y.Q.[Yu-Qi], Wang, C.[Chong], Zhao, J.Y.[Jie-Yu],
Locally Linear Embedded Sparse Coding for Spectral Reconstruction From RGB Images,
SPLetters(25), No. 3, March 2018, pp. 363-367.
IEEE DOI 1802
Cameras, Dictionaries, Feature extraction, Image color analysis, Image reconstruction, Image resolution, Training, spectral reconstruction BibRef

Nguyen, R.M.H.[Rang M. H.], Brown, M.S.[Michael S.],
RAW Image Reconstruction Using a Self-contained sRGB-JPEG Image with Small Memory Overhead,
IJCV(126), No. 6, June 2018, pp. 637-650.
Springer DOI 1804
BibRef
Earlier:
RAW Image Reconstruction Using a Self-Contained sRGB-JPEG Image with Only 64 KB Overhead,
CVPR16(1655-1663)
IEEE DOI 1612
BibRef

Nguyen, R.M.H.[Rang M. H.], Prasad, D.K.[Dilip K.], Brown, M.S.[Michael S.],
Training-Based Spectral Reconstruction from a Single RGB Image,
ECCV14(VII: 186-201).
Springer DOI 1408
BibRef
Earlier: A2, A1, A3:
Quick Approximation of Camera's Spectral Response from Casual Lighting,
CVPV13(844-851)
IEEE DOI 1403
approximation theory BibRef

Li, Y.[Yuqi], Wang, C.[Chong], Zhao, J.[Jieyu], Yuan, Q.S.[Qing-Shu],
Efficient spectral reconstruction using a trichromatic camera via sample optimization,
VC(34), No. 12, December 2018, pp. 1773-1783.
Springer DOI 1811
BibRef

Rout, L.,
ALERT: Adversarial Learning With Expert Regularization Using Tikhonov Operator for Missing Band Reconstruction,
GeoRS(58), No. 6, June 2020, pp. 4395-4405.
IEEE DOI 2005
Adversarial learning, expert regularization, missing band reconstruction, remote sensing, Tikhonov operator BibRef


Peng, H.[Hao], Chen, X.M.[Xiao-Mei], Zhao, J.[Jie],
Residual Pixel Attention Network for Spectral Reconstruction from RGB Images,
NTIRE20(2012-2020)
IEEE DOI 2008
Image reconstruction, Hyperspectral imaging, Task analysis, Spatial resolution, Convolution BibRef

Fubara, B.J., Sedky, M., Dyke, D.,
RGB to Spectral Reconstruction via Learned Basis Functions and Weights,
NTIRE20(1984-1993)
IEEE DOI 2008
Hyperspectral imaging, Image reconstruction, Machine learning, Training, Image color analysis, Sensors BibRef

Lin, Y., Finlayson, G.D.,
Physically Plausible Spectral Reconstruction from RGB Images,
NTIRE20(2257-2266)
IEEE DOI 2008
Image color analysis, Image reconstruction, Hyperspectral imaging, Sensitivity, Cameras, Computational modeling BibRef

Rout, L., Misra, I., Moorthi, S.M., Dhar, D.,
S2A: Wasserstein GAN with Spatio-Spectral Laplacian Attention for Multi-Spectral Band Synthesis,
EarthVision20(727-736)
IEEE DOI 2008
Spatial resolution, Signal resolution, Generators, Remote sensing, Laplace equations BibRef

Zhao, Y., Po, L., Yan, Q., Liu, W., Lin, T.,
Hierarchical Regression Network for Spectral Reconstruction from RGB Images,
NTIRE20(1695-1704)
IEEE DOI 2008
Image reconstruction, Hyperspectral imaging, Training, Cameras, Image resolution BibRef

Li, J., Wu, C., Song, R., Li, Y., Liu, F.,
Adaptive Weighted Attention Network with Camera Spectral Sensitivity Prior for Spectral Reconstruction from RGB Images,
NTIRE20(1894-1903)
IEEE DOI 2008
Image reconstruction, Adaptive systems, Adaptation models, Correlation, Hyperspectral imaging, Cascading style sheets, Task analysis BibRef

Arad, B.[Boaz], Timofte, R.[Radu], Ben-Shahar, O.[Ohad], Lin, Y.T.[Yi-Tun], Finlayson, G.[Graham], Givati, S.[Shai], Li, J.J.[Jiao-Jiao], Wu, C.X.[Chao-Xiong], Song, R.[Rui], Li, Y.S.[Yun-Song], Liu, F.[Fei], Lang, Z.Q.[Zhi-Qiang], Wei, W.[Wei], Zhang, L.[Lei], Nie, J.T.[Jiang-Tao], Zhao, Y.Z.[Yu-Zhi], Po, L.M.[Lai-Man], Yan, Q.[Qiong], Liu, W.[Wei], Lin, T.Y.[Ting-Yu], Kim, Y.J.[Young-Jung], Shin, C.Y.[Chang-Yeop], Rho, K.H.[Kyeong-Ha], Kim, S.H.[Sung-Ho], Zhu, Z.Y.[Zhi-Yu], Hou, J.H.[Jun-Hui], Sun, H.[He], Ren, J.C.[Jin-Chang], Fang, Z.Y.[Zhen-Yu], Yan, Y.J.[Yi-Jun], Peng, H.[Hao], Chen, X.M.[Xiao-Mei], Zhao, J.[Jie], Stiebel, T.[Tarek], Koppers, S.[Simon], Merhof, D.[Dorit], Gupta, H.[Honey], Mitra, K.[Kaushik], Fubara, B.J.[Biebele Joslyn], Sedky, M.[Mohamed], Dyke, D.[Dave], Banerjee, A.[Atmadeep], Palrecha, A.[Akash], sabarinathan, S.[Sabarinathan], Uma, K., Vinothini, D.S.[D. Synthiya], Bama, B.S.[B. Sathya], Roomi, S.M.M.M.[S. M. Md Mansoor],
NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image,
NTIRE20(1806-1822)
IEEE DOI 2008
Cameras, Image reconstruction, Hyperspectral imaging, Training, Image coding, Radiometry BibRef

Ma, J.W.[Jia-Wei], Liu, X.Y.[Xiao-Yang], Shou, Z.[Zheng], Yuan, X.[Xin],
Deep Tensor ADMM-Net for Snapshot Compressive Imaging,
ICCV19(10222-10231)
IEEE DOI 2004
computational complexity, data compression, decoding, gradient methods, image coding, image reconstruction, noise figure 2.5 dB BibRef

Arad, B., Ben-Shahar, O., Timofte, R., Van Gool, L.J., Zhang, L., Yang, M.,
NTIRE 2018 Challenge on Spectral Reconstruction from RGB Images,
Restoration18(1042-104209)
IEEE DOI 1812
Image reconstruction, Hyperspectral imaging, Training, Cameras, Runtime, Neural networks, Databases BibRef

Wu, J., Aeschbacher, J., Timofte, R.,
In Defense of Shallow Learned Spectral Reconstruction from RGB Images,
PBVDL17(471-479)
IEEE DOI 1802
Dictionaries, Hyperspectral imaging, Image reconstruction, Spatial resolution, Training BibRef

Jia, Y.[Yan], Zheng, Y.Q.[Yin-Qiang], Gu, L.[Lin], Subpa-Asa, A.[Art], Lam, A.[Antony], Sato, Y.[Yoichi], Sato, I.[Imari],
From RGB to Spectrum for Natural Scenes via Manifold-Based Mapping,
ICCV17(4715-4723)
IEEE DOI 1802
Reconstruct hyperspectral data from only RGB. cameras, geophysical image processing, image classification, image colour analysis, image reconstruction, image sensors, BibRef

Hoffer, N.N.[Nirit Nussbaum], Michaeli, T.[Tomer],
Multispectral Reconstruction From Reference Objects in the Scene,
PBDL19(4350-4358)
IEEE DOI 2004
cameras, hyperspectral imaging, image reconstruction, inverse problems, optical transfer function, Color reconstruction BibRef

Han, X., Shi, B., Zheng, Y.,
Residual HSRCNN: Residual Hyper-Spectral Reconstruction CNN from an RGB Image,
ICPR18(2664-2669)
IEEE DOI 1812
Spatial resolution, Image reconstruction, Signal resolution, Computer architecture, Cameras, Visualization BibRef

Koundinya, S., Sharma, H., Sharma, M., Upadhyay, A., Manekar, R., Mukhopadhyay, R., Karmakar, A., Chaudhury, S.,
2D-3D CNN Based Architectures for Spectral Reconstruction from RGB Images,
Restoration18(957-9577)
IEEE DOI 1812
Hyperspectral imaging, Image reconstruction, Kernel, Feature extraction, Image resolution BibRef

Stiebei, T., Köppers, S., Seltsam, P., Merhof, D.,
Reconstructing Spectral Images from RGB-Images Using a Convolutional Neural Network,
Restoration18(1061-10615)
IEEE DOI 1812
Pattern recognition. BibRef

Li, H., Xiong, Z., Shi, Z., Wang, L., Liu, D., Wu, F.,
HSVCNN: CNN-Based Hyperspectral Reconstruction from RGB Videos,
ICIP18(3323-3327)
IEEE DOI 1809
Videos, Image reconstruction, Motion compensation, Correlation, Hyperspectral imaging, Optical imaging, Adaptive optics, temporal-adaptive fusion BibRef

Shi, Z., Chen, C., Xiong, Z., Liu, D., Wu, F.,
HSCNN+: Advanced CNN-Based Hyperspectral Recovery from RGB Images,
Restoration18(1052-10528)
IEEE DOI 1812
Hyperspectral imaging, Image reconstruction, Task analysis, Spatial resolution, Cameras BibRef

Xiong, Z., Shi, Z., Li, H., Wang, L., Liu, D., Wu, F.,
HSCNN: CNN-Based Hyperspectral Image Recovery from Spectrally Undersampled Projections,
PBVDL17(518-525)
IEEE DOI 1802
Hyperspectral imaging, Image reconstruction, Machine learning, Optical filters, Spatial resolution BibRef

Blasinski, H.[Henryk], Farrell, J.[Joyce], Wandell, B.[Brian],
An iterative algorithm for spectral estimation with spatial smoothing,
ICIP15(936-940)
IEEE DOI 1512
ADMM; Multispectral imaging; spectral reconstruction BibRef

Parmar, M.[Manu], Lansel, S.[Steven], Wandell, B.A.[Brian A.],
Spatio-spectral reconstruction of the multispectral datacube using sparse recovery,
ICIP08(473-476).
IEEE DOI 0810
BibRef

Connah, D., Hardeberg, J.Y., Westland, S.,
Comparison of linear spectral reconstruction methods for multispectral imaging,
ICIP04(III: 1497-1500).
IEEE DOI 0505
BibRef

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Super Resolution and Restoration from Blurred Images, Motion Blur .


Last update:Sep 14, 2020 at 15:32:18