Ur, H.[Hanoch],
Gross, D.[Daniel],
Improved Resolution from Subpixel Shifted Pictures,
GMIP(54), No. 2, March 1992, pp. 181-186.
BibRef
9203
And:
Addenda:
GMIP(54), No. 4, July 1992, pp. 365-yy.
BibRef
Komatsu, T.[Takashi],
Igarashi, T.[Toru],
Aizawa, K.[Kiyoharu],
Saito, T.[Takahiro],
Very high resolution imaging scheme with multiple different-aperture
cameras,
SP:IC(5), No. 5-6, December 1993, pp. 511-526.
Elsevier DOI
0001
CCD camera, shot-noise, registration, reconstruction, image acquisition;
high-resolution imaging
BibRef
Hardie, R.C.,
Barnard, K.J.,
Armstrong, E.E.,
Joint MAP Registration and High Resolution Image Estimation
Using a Sequence of Undersampled Images,
IP(6), No. 12, December 1997, pp. 1621-1633.
IEEE DOI
9712
BibRef
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.
WWW Link.
0603
BibRef
van de Walle, P.,
Sbaiz, L.,
Vetterli, M.,
Susstrunk, S.,
Super-Resolution from Highly Undersampled Images,
ICIP05(I: 889-892).
IEEE DOI
0512
BibRef
van de Walle, P.[Patrick],
Baboulaz, L.[Loic],
Dragotti, P.L.[Pier Luigi],
Vetterli, M.[Martin],
Subspace-based methods for image registration and super-resolution,
ICIP08(645-648).
IEEE DOI
0810
BibRef
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
BibRef
Earlier:
Blind Super-Resolution Image Reconstruction using a Maximum a
Posteriori Estimation,
ICIP06(1729-1732).
IEEE DOI
0610
BibRef
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
BibRef
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
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
Wang, T.F.[Teng-Fei],
Xie, J.X.[Jia-Xin],
Sun, W.X.[Wen-Xiu],
Yan, Q.[Qiong],
Chen, Q.F.[Qi-Feng],
Dual-Camera Super-Resolution with Aligned Attention Modules,
ICCV21(1981-1990)
IEEE DOI
2203
Training, Bridges, Visualization, Codes, Computational modeling,
Superresolution, Computational photography, Image and video synthesis
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.[Nataa],
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 .