19.4.3.7 Alignment, Registration for Super Resolution

Chapter Contents (Back)
Super Resolution. Image Registration. Alignment.

Ur, H.[Hanoch], Gross, D.[Daniel],
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CCD camera, shot-noise, registration, reconstruction, image acquisition; high-resolution imaging BibRef

Hardie, R.C., Barnard, K.J., Armstrong, E.E.,
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Elwarfalli, H.[Hamed], Hardie, R.C.[Russell C.],
FIFNET: A convolutional neural network for motion-based multiframe super-resolution using fusion of interpolated frames,
CVIU(202), 2021, pp. 103097.
Elsevier DOI 2012
Multiframe super-resolution, Convolutional neural network, Fusion of interpolated frames, Image restoration, Subpixel registration BibRef

van de Walle, P.[Patrick], Süsstrunk, S.[Sabine], Vetterli, M.[Martin],
A Frequency Domain Approach to Registration of Aliased Images with Application to Super-resolution,
JASP(2006), 2006, pp. 1-14.
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van de Walle, P., Sbaiz, L., Vetterli, M., Susstrunk, S.,
Super-Resolution from Highly Undersampled Images,
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van de Walle, P.[Patrick], Baboulaz, L.[Loic], Dragotti, P.L.[Pier Luigi], Vetterli, M.[Martin],
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IEEE DOI 0810
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He, Y.[Yu], Yap, K.H.[Kim-Hui], Chen, L.[Li], Chau, L.P.[Lap-Pui],
A Nonlinear Least Square Technique for Simultaneous Image Registration and Super-Resolution,
IP(16), No. 11, November 2007, pp. 2830-2841.
IEEE DOI 0709
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Earlier:
Blind Super-Resolution Image Reconstruction using a Maximum a Posteriori Estimation,
ICIP06(1729-1732).
IEEE DOI 0610
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He, Y.[Yu], Yap, K.H.[Kim-Hui], Chen, L.[Li], Chau, L.P.[Lap-Pui],
A soft MAP framework for blind super-resolution image reconstruction,
IVC(27), No. 4, 3 March 2009, pp. 364-373.
Elsevier DOI 0804
Super-resolution, Blur identification, Maximum a posteriori estimation, Conjugate gradient optimization BibRef

Yap, K.H.[Kim-Hui], He, Y.[Yu], Tian, Y.S.[Yu-Shuang], Chau, L.P.[Lap-Pui],
A Nonlinear L_1-Norm Approach for Joint Image Registration and Super-Resolution,
SPLetters(16), No. 11, November 2009, pp. 981-984.
IEEE DOI 0909
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Tian, Y.S.[Yu-Shuang], Yap, K.H.[Kim-Hui],
Joint Image Registration and Super-Resolution From Low-Resolution Images With Zooming Motion,
CirSysVideo(23), No. 7, 2013, pp. 1224-1234.
IEEE DOI 1307
image reconstruction BibRef

Pickup, L.C., Capel, D.P., Roberts, S.J., Zisserman, A.,
Overcoming Registration Uncertainty in Image Super-Resolution: Maximize or Marginalize?,
JASP(2007), 2007, Article ID 23565.
HTML Version. BibRef 0700
And: A1, A3, A4, Only:
Optimizing and Learning for Super-resolution,
BMVC06(II:439).
PDF File.
HTML Version. 0609
BibRef

Pickup, L.C.,
Machine Learning in Multi-frame Image Super-resolution,
Ph.D.Thesis, Oxford, 2008.
HTML Version. BibRef 0800

Liu, J.[Ju], Yan, H.[Hua], Sun, J.D.[Jian-De],
Regularization Super-Resolution with Inaccurate Image Registration,
IEICE(E92-D), No. 1, January 2009, pp. 59-68.
WWW Link. 0907
BibRef

Chan, J.C.W., Ma, J., Kempeneers, P., Canters, F.,
Superresolution Enhancement of Hyperspectral CHRIS/Proba Images With a Thin-Plate Spline Nonrigid Transform Model,
GeoRS(48), No. 6, June 2010, pp. 2569-2579.
IEEE DOI 1006
BibRef

Ma, J., Chan, J.C.W., Canters, F.,
Fully Automatic Subpixel Image Registration of Multiangle CHRIS/Proba Data,
GeoRS(48), No. 7, July 2010, pp. 2829-2839.
IEEE DOI 1007
BibRef

Zhou, F., Yang, W., Liao, Q.,
A Coarse-to-Fine Subpixel Registration Method to Recover Local Perspective Deformation in the Application of Image Super-Resolution,
IP(21), No. 1, January 2012, pp. 53-66.
IEEE DOI 1112
BibRef

Zhou, F., Yang, W., Liao, Q.M.,
Interpolation-Based Image Super-Resolution Using Multisurface Fitting,
IP(21), No. 7, July 2012, pp. 3312-3318.
IEEE DOI 1206
BibRef

Zhou, F.[Fei], Xia, S.T.[Shu-Tao], Liao, Q.M.[Qing-Min],
Nonlocal Pixel Selection for Multisurface Fitting-Based Super-Resolution,
CirSysVideo(24), No. 12, December 2014, pp. 2013-2017.
IEEE DOI 1402
image resolution BibRef

Vrigkas, M.[Michalis], Nikou, C.[Christophoros], Kondi, L.P.[Lisimachos P.],
Accurate image registration for MAP image super-resolution,
SP:IC(28), No. 5, May 2013, pp. 494-508.
Elsevier DOI 1305
BibRef
Earlier:
A fully robust framework for MAP image super-resolution,
ICIP12(2225-2228).
IEEE DOI 1302
Maximum a posteriori (MAP) super-resolution, Image registration, Mutual information, Harris corners, Scale Invariant Feature Transform (SIFT), Speed Up Robust Features (SURF) BibRef

Shi, Z.Y.[Zhi-Yong], Tian, F.C.[Feng-Chun], Wang, Y.[Yande], Ran, J.[Jian],
Blind multi-image super-resolution based on combination of ANN learning and non-subsampled Contourlet directional image representation,
SIViP(12), No. 1, January 2018, pp. 25-31.
WWW Link. 1801
BibRef

Wang, Y.[Yankun], Liu, Q.[Qiegen], Zhou, H.L.[Hui-Lin], Wang, Y.H.[Yu-Hao],
Learning multi-denoising autoencoding priors for image super-resolution,
JVCIR(57), 2018, pp. 152-162.
Elsevier DOI 1812
Single image super-resolution, Denoising autoencoder, Multi-denoising autoencoding priors, Alternative iteration BibRef

Rezayi, H., Seyedin, S.A.,
A Joint Image Registration and Superresolution Method Using a Combinational Continuous Generative Model,
CirSysVideo(28), No. 4, April 2018, pp. 834-848.
IEEE DOI 1804
BibRef
Earlier:
Joint image registration and super-resolution based on combinational coefficient matrix,
IPRIA15(1-7)
IEEE DOI 1603
Convolution, Cost function, Image resolution, Interpolation, Jacobian matrices, Kernel, Mathematical model, superresolution (SR) BibRef

Lu, J.[Jian], Hu, W.D.[Wei-Dong], Sun, Y.[Yi],
A deep learning method for image super-resolution based on geometric similarity,
SP:IC(70), 2019, pp. 210-219.
Elsevier DOI 1812
Super-resolution, Self-similarity, Deep learning, Spatial transformer networks BibRef

Jiang, K.[Kui], Wang, Z.Y.[Zhong-Yuan], Yi, P.[Peng], Jiang, J.J.[Jun-Jun], Xiao, J.[Jing], Yao, Y.[Yuan],
Deep Distillation Recursive Network for Remote Sensing Imagery Super-Resolution,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Jiang, K.[Kui], Wang, Z.Y.[Zhong-Yuan], Yi, P.[Peng], Jiang, J.J.[Jun-Jun],
Hierarchical dense recursive network for image super-resolution,
PR(107), 2020, pp. 107475.
Elsevier DOI 2008
Super-resolution, Hierarchical dense connection, Global feature fusion, Recursive network, Multi-scale BibRef

Seke, E.[Erol], Anagün, Y.[Yildiray], Adar, N.[Nihat],
Multi-frame super-resolution algorithm using common vector approach,
IET-IPR(12), No. 12, December 2018, pp. 2292-2299.
DOI Link 1812
BibRef

Pan, Z., Shen, H.,
Multispectral Image Super-Resolution via RGB Image Fusion and Radiometric Calibration,
IP(28), No. 4, April 2019, pp. 1783-1797.
IEEE DOI 1901
calibration, cameras, image colour analysis, image fusion, image reconstruction, image resolution, image restoration, image fusion BibRef

Buades, A.[Antoni], Duran, J.[Joan], Navarro, J.,
Motion-Compensated Spatio-Temporal Filtering for Multi-Image and Multimodal Super-Resolution,
IJCV(127), No. 10, October 2019, pp. 1474-1500.
Springer DOI 1909
BibRef

Kao, C., Wang, Y., Waltman, J., Sen, P.,
Patch-Based Image Hallucination for Super Resolution With Detail Reconstruction From Similar Sample Images,
MultMed(22), No. 5, May 2020, pp. 1139-1152.
IEEE DOI 2005
Image resolution, Image databases, Optimization, Sun, Signal resolution, Image segmentation, Image edge detection, large image databases BibRef


Zhang, L.[Lin], Li, X.[Xin], He, D.L.[Dong-Liang], Li, F.[Fu], Wang, Y.L.[Yi-Li], Zhang, Z.X.[Zhao-Xiang],
RRSR: Reciprocal Reference-Based Image Super-Resolution with Progressive Feature Alignment and Selection,
ECCV22(XIX:648-664).
Springer DOI 2211
BibRef

Young, L.D.[Lucas D.], Reda, F.A.[Fitsum A.], Ranjan, R.[Rakesh], Morton, J.[Jon], Hu, J.[Jun], Ling, Y.Z.[Ya-Zhu], Xiang, X.Y.[Xiao-Yu], Liu, D.[David], Chandra, V.[Vikas],
Feature-Align Network with Knowledge Distillation for Efficient Denoising,
ComputationalApp22(709-718)
IEEE DOI 2202
Knowledge engineering, Training, Technological innovation, Computational modeling, Wearable computers, Noise reduction, Computer architecture BibRef

Luo, Z.W.[Zi-Wei], Li, Y.W.[You-Wei], Cheng, S.[Shen], Yu, L.[Lei], Wu, Q.[Qi], Wen, Z.H.[Zhi-Hong], Fan, H.Q.[Hao-Qiang], Sun, J.[Jian], Liu, S.C.[Shuai-Cheng],
BSRT: Improving Burst Super-Resolution with SWIN Transformer and Flow-Guided Deformable Alignment,
NTIRE22(997-1007)
IEEE DOI 2210
Visualization, Convolution, Superresolution, Transformers, Image restoration, Noise measurement, Data mining BibRef

Luo, Z.W.[Zi-Wei], Yu, L.[Lei], Mo, X.[Xuan], Li, Y.[Youwei], Jia, L.P.[Lan-Peng], Fan, H.Q.[Hao-Qiang], Sun, J.[Jian], Liu, S.C.[Shuai-Cheng],
EBSR: Feature Enhanced Burst Super-Resolution with Deformable Alignment,
NTIRE21(471-478)
IEEE DOI 2109
Training, Correlation, Tracking, Convolution, Superresolution BibRef

Lei, P.C.[Peng-Cheng], Liu, C.[Cong],
An Efficient Group Feature Fusion Residual Network for Image Super-resolution,
ACCV20(II:217-233).
Springer DOI 2103
BibRef

Noor, D.F.[Dewan Fahim], Li, L.[Li], Li, Z.[Zhu], Bhattacharyya, S.[Shuvra],
Multi-Frame Super Resolution with Deep Residual Learning on Flow Registered Non-Integer Pixel Images,
ICIP19(2164-2168)
IEEE DOI 1910
Super-resolution, sub-pixel registration, bilateral filter, deep residual learning BibRef

Hou, Z.J.[Ze-Jiang], Kung, S.Y.[Sun-Yuan],
Multi-Dimensional Dynamic Model Compression for Efficient Image Super-Resolution,
WACV22(3492-3502)
IEEE DOI 2202
Performance evaluation, Visualization, Image coding, Convolution, Computational modeling, Redundancy, Superresolution, Deep Learning Deep Learning -> Efficient Training and Inference Methods for Networks BibRef

Zhou, Y.[Yuan], Huo, S.W.[Shu-Wei], Chen, Y.[Ying], Kung, S.Y.[Sun-Yuan],
Super-resolution Imaging Based on Global Interpolation and Structural Similarities,
ICPR18(2977-2982)
IEEE DOI 1812
Image reconstruction, Interpolation, Dictionaries, Image resolution, Image edge detection, Machine learning, Optimization BibRef

Shih, K.T., Chen, H.H.,
Performance analysis of reconstruction-based super-resolution for camera arrays,
ICIP17(1162-1166)
IEEE DOI 1803
Cameras, Image reconstruction, Image resolution, Sensor arrays, Signal resolution, Computational photography, camera array, super-resolution BibRef

Suveer, A.[Amit], Sladoje, N.[Nataša], Lindblad, J.[Joakim], Dragomir, A.[Anca], Sintorn, I.M.[Ida-Maria],
Enhancement of Cilia Sub-structures by Multiple Instance Registration and Super-Resolution Reconstruction,
SCIA17(II: 362-374).
Springer DOI 1706
BibRef

Song, Q., Xiong, R., Fan, X., Ma, S., Gao, W.,
Registration-reliability based strategy to enhance multi-frame super-resolution algorithms,
VCIP15(1-4)
IEEE DOI 1605
Estimation BibRef

Yuan, Z.[Zhi], Yan, P.M.[Pei-Min], Li, S.[Sheng], Shen, J.[Juxia], Huang, Y.H.[Yu-Hui],
Super resolution based on simultaneous registration and reconstruction,
ICARCV08(1089-1092).
IEEE DOI 1109
BibRef

Wang, Q.[Qing], Song, X.L.[Xiao-Li],
Joint image registration and super-resolution reconstruction based on regularized total least norm,
ICIP09(1537-1540).
IEEE DOI 0911
BibRef

Takeshima, H.[Hidenori], Kaneko, T.[Toshimitsu],
Image registration using subpixel-shifted images for super-resolution,
ICIP08(2404-2407).
IEEE DOI 0810
BibRef

Shimizu, M., Yano, T., Okutomi, M.,
Super-resolution under image deformation,
ICPR04(III: 586-589).
IEEE DOI 0409
BibRef

Gotoh, T., Okutomi, M.,
Direct super-resolution and registration using raw CFA images,
CVPR04(II: 600-607).
IEEE DOI 0408
BibRef

Wei, Z.[Zile], Cao, Y.[Yu], Newton, A.R.,
Digital image restoration by exposure-splitting and registration,
ICPR04(IV: 657-660).
IEEE DOI 0409
BibRef

Ramalingam, S.[Srikumar], Lodha, S.K.[Suresh K.],
Adaptive enhancement of 3D scenes using hierarchical registration of texture-mapped 3D models,
3DIM03(203-210).
IEEE DOI 0311
BibRef

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Single Image Super Resolution .


Last update:Mar 16, 2024 at 20:36:19