Zhang, D.[Di],
Li, H.F.[Hui-Fang],
Du, M.H.[Ming-Hui],
Fast MAP-based multiframe super-resolution image reconstruction,
IVC(23), No. 7, 1 July 2005, pp. 671-679.
Elsevier DOI
0506
See also Morphable model space based face super-resolution reconstruction and recognition.
BibRef
Zhang, D.[Di],
Du, M.H.[Ming-Hui],
High-resolution image reconstruction using joint constrained edge
pattern recognition and POCS formulation,
ICARCV04(II: 832-837).
IEEE DOI
0412
BibRef
Yuan, Q.Q.[Qiang-Qiang],
Zhang, L.P.[Liang-Pei],
Shen, H.F.[Huan-Feng],
Multiframe Super-Resolution Employing a Spatially Weighted Total
Variation Model,
CirSysVideo(22), No. 3, March 2012, pp. 379-392.
IEEE DOI
1203
See also Stripe Noise Separation and Removal in Remote Sensing Images by Consideration of the Global Sparsity and Local Variational Properties.
BibRef
Yuan, Q.Q.[Qiang-Qiang],
Zhang, L.P.[Liang-Pei],
Shen, H.F.[Huan-Feng],
Hyperspectral Image Denoising Employing a Spectral-Spatial Adaptive
Total Variation Model,
GeoRS(50), No. 10, October 2012, pp. 3660-3677.
IEEE DOI
1210
BibRef
Yuan, Q.Q.[Qiang-Qiang],
Zhang, L.P.[Liang-Pei],
Shen, H.F.[Huan-Feng],
Hyperspectral Image Denoising With a Spatial-Spectral View Fusion
Strategy,
GeoRS(52), No. 5, May 2014, pp. 2314-2325.
IEEE DOI
1403
Adaptation models
BibRef
Yuan, Q.Q.[Qiang-Qiang],
Zhang, L.P.[Liang-Pei],
Shen, H.F.[Huan-Feng],
Regional Spatially Adaptive Total Variation Super-Resolution
with Spatial Information Filtering and Clustering,
IP(22), No. 6, 2013, pp. 2327-2342.
IEEE DOI
1307
k-means clustering; Image edge detection
BibRef
Li, J.[Jie],
Yuan, Q.Q.[Qiang-Qiang],
Shen, H.F.[Huan-Feng],
Zhang, L.P.[Liang-Pei],
Noise Removal From Hyperspectral Image With Joint Spectral-Spatial
Distributed Sparse Representation,
GeoRS(54), No. 9, September 2016, pp. 5425-5439.
IEEE DOI
1609
compressed sensing
BibRef
Yuan, Q.Q.[Qiang-Qiang],
Zhang, Q.[Qiang],
Li, J.[Jie],
Shen, H.F.[Huan-Feng],
Zhang, L.P.[Liang-Pei],
Hyperspectral Image Denoising Employing a Spatial-Spectral Deep
Residual Convolutional Neural Network,
GeoRS(57), No. 2, February 2019, pp. 1205-1218.
IEEE DOI
1901
Noise reduction, Feature extraction, Noise measurement,
Hyperspectral imaging, Image denoising,
multiscale feature extraction
BibRef
Zhang, Q.[Qiang],
Yuan, Q.Q.[Qiang-Qiang],
Li, J.[Jie],
Liu, X.X.[Xin-Xin],
Shen, H.F.[Huan-Feng],
Zhang, L.P.[Liang-Pei],
Hybrid Noise Removal in Hyperspectral Imagery with a Spatial-Spectral
Gradient Network,
GeoRS(57), No. 10, October 2019, pp. 7317-7329.
IEEE DOI
1910
convolutional neural nets, feature extraction,
geophysical image processing, gradient methods,
spatial-spectral
BibRef
Chan, T.M.[Tak-Ming],
Zhang, J.P.[Jun-Ping],
Pu, J.[Jian],
Huang, H.[Hua],
Neighbor embedding based super-resolution algorithm through edge
detection and feature selection,
PRL(30), No. 5, 1 April 2009, pp. 494-502.
Elsevier DOI
0903
BibRef
Earlier: A1, A2, Only:
An Improved Super-Resolution with Manifold Learning and Histogram
Matching,
ICB06(756-762).
Springer DOI
0601
Super-resolution; Neighbor embedding; Feature selection; Image processing
BibRef
Pu, J.[Jian],
Zhang, J.P.[Jun-Ping],
Guo, P.H.[Pei-Hong],
Yuan, X.R.[Xiao-Ru],
Interactive Super-Resolution through Neighbor Embedding,
ACCV09(III: 496-505).
Springer DOI
0909
BibRef
Purkait, P.[Pulak],
Chanda, B.[Bhabatosh],
Super Resolution Image Reconstruction Through Bregman Iteration Using
Morphologic Regularization,
IP(21), No. 9, September 2012, pp. 4029-4039.
IEEE DOI
1208
BibRef
Purkait, P.[Pulak],
Chanda, B.[Bhabatosh],
Morphologic gain-controlled regularization for edge-preserving
super-resolution image reconstruction,
SIViP(7), No. 5, September 2013, pp. 925-938.
WWW Link.
1309
BibRef
Purkait, P.[Pulak],
Chanda, B.[Bhabatosh],
Image Upscaling Using Multiple Dictionaries of Natural Image Patches,
ACCV12(III:284-295).
Springer DOI
1304
BibRef
Wang, L.,
Xiang, S.,
Meng, G.,
Wu, H.,
Pan, C.,
Edge-Directed Single-Image Super-Resolution Via Adaptive Gradient
Magnitude Self-Interpolation,
CirSysVideo(23), No. 8, 2013, pp. 1289-1299.
IEEE DOI
1308
Estimation
BibRef
Mosleh, A.[Ali],
Bouguila, N.[Nizar],
Ben Hamza, A.,
Image and video spatial super-resolution via bandlet-based sparsity
regularization and structure tensor,
SP:IC(30), No. 1, 2015, pp. 137-146.
Elsevier DOI
1412
Bandlets
See also Bandlet-based sparsity regularization in video inpainting.
BibRef
Yan, Q.[Qing],
Xu, Y.[Yi],
Yang, X.K.[Xiao-Kang],
Nguyen, T.Q.,
Single Image Superresolution Based on Gradient Profile Sharpness,
IP(24), No. 10, October 2015, pp. 3187-3202.
IEEE DOI
1507
Global Positioning System
BibRef
Yan, Q.[Qing],
Xu, Y.[Yi],
Yang, X.K.[Xiao-Kang],
Chen, K.[Kai],
Image Super-Resolution Based on a Novel Edge Sharpness Prior,
ICPR12(1056-1059).
WWW Link.
1302
BibRef
Kim, Y.,
Oh, H.,
Bilgin, A.,
Super resolution reconstruction based on block matching and
three-dimensional filtering with sharpening,
IET-IPR(9), No. 12, 2015, pp. 1048-1056.
DOI Link
1512
adaptive filters
BibRef
Yeganli, F.,
Nazzal, M.,
Ozkaramanli, H.,
Image super-resolution via sparse representation over multiple learned
dictionaries based on edge sharpness and gradient phase angle,
SIViP(9), No. 1 Supp, December 2015, pp. 285-293.
WWW Link.
1601
BibRef
Yeganli, F.,
Nazzal, M.,
Unal, M.,
Ozkaramanli, H.,
Image super-resolution via sparse representation over multiple learned
dictionaries based on edge sharpness,
SIViP(10), No. 3, March 2016, pp. 535-542.
WWW Link.
1602
BibRef
Singh, A.[Abhishek],
Ahuja, N.[Narendra],
Learning ramp transformation for single image super-resolution,
CVIU(135), No. 1, 2015, pp. 109-125.
Elsevier DOI
1504
BibRef
Earlier:
Single image super-resolution using adaptive domain transformation,
ICIP13(947-951)
IEEE DOI
1402
Super-resolution.
Image edge detection
BibRef
Singh, A.[Abhishek],
Porikli, F.M.[Fatih M.],
Ahuja, N.[Narendra],
Super-resolving Noisy Images,
CVPR14(2846-2853)
IEEE DOI
1409
denoising; super-resolution
BibRef
Li, X.,
He, H.,
Wang, R.,
Tao, D.,
Single Image Superresolution via Directional Group Sparsity and
Directional Features,
IP(24), No. 9, September 2015, pp. 2874-2888.
IEEE DOI
1506
Dictionaries
BibRef
Ferreira, J.C.,
Vural, E.,
Guillemot, C.[Christine],
Geometry-Aware Neighborhood Search for Learning Local Models for
Image Superresolution,
IP(25), No. 3, March 2016, pp. 1354-1367.
IEEE DOI
1602
Adaptation models
BibRef
Mandal, S.[Srimanta],
Sao, A.K.[Anil Kumar],
Employing structural and statistical information to learn
dictionary(s) for single image super-resolution in sparse domain,
SP:IC(48), No. 1, 2016, pp. 63-80.
Elsevier DOI
1609
BibRef
Earlier:
Edge preserving single image super resolution in sparse environment,
ICIP13(967-971)
IEEE DOI
1402
Dictionaries
BibRef
And:
Image deblurring in super-resolution framework,
NCVPRIPG13(1-4)
IEEE DOI
1408
Sparse representation.
image enhancement
BibRef
Sidike, P.[Paheding],
Krieger, E.[Evan],
Alom, M.Z.[M. Zahangir],
Asari, V.K.[Vijayan K.],
Taha, T.[Tarek],
A fast single-image super-resolution via directional edge-guided
regularized extreme learning regression,
SIViP(11), No. 5, July 2017, pp. 961-968.
Springer DOI
1706
BibRef
Vassilo, K.[Kyle],
Heatwole, C.[Cory],
Taha, T.[Tarek],
Mehmood, A.[Asif],
Multi-Step Reinforcement Learning for Single Image Super-Resolution,
NTIRE20(2160-2168)
IEEE DOI
2008
Image resolution, Image color analysis,
Task analysis, Image restoration, Standards, Image reconstruction
BibRef
Chen, H.,
He, X.,
Qing, L.,
Teng, Q.,
Single Image Super-Resolution via Adaptive Transform-Based Nonlocal
Self-Similarity Modeling and Learning-Based Gradient Regularization,
MultMed(19), No. 8, August 2017, pp. 1702-1717.
IEEE DOI
1708
Adaptation models, Estimation, Image edge detection,
Image reconstruction, Image resolution, Interpolation, Transforms,
Image super-resolution, Split Bregman Iteration,
gradient regularization, local structure-adaptive transform,
nonlocal, self-similarity
BibRef
Mousavi, H.S.,
Monga, V.,
Sparsity-Based Color Image Super Resolution via Exploiting Cross
Channel Constraints,
IP(26), No. 11, November 2017, pp. 5094-5106.
IEEE DOI
1709
BibRef
Earlier:
Sparsity based super resolution using color channel constraints,
ICIP16(579-583)
IEEE DOI
1610
correlation methods,
image resolution, optimisation,
analogous HR dictionary, color channels,
dictionary learning method, edge similarities,
image quality metrics,
luminance channel information,
sparsity-based color image super resolution,
Dictionaries, Image color analysis, Image edge detection,
Image reconstruction, Spatial resolution, Color super resolution,
single-image super resolution, sparse coding
BibRef
Yang, W.H.[Wen-Han],
Feng, J.S.[Jia-Shi],
Yang, J.C.[Jian-Chao],
Zhao, F.[Fang],
Liu, J.Y.[Jia-Ying],
Guo, Z.M.[Zong-Ming],
Yan, S.C.[Shui-Cheng],
Deep Edge Guided Recurrent Residual Learning for Image
Super-Resolution,
IP(26), No. 12, December 2017, pp. 5895-5907.
IEEE DOI
1710
Feature extraction, Image edge detection, Image reconstruction,
Image resolution, Signal resolution, Training, Super-resolution,
edge guidance, recurrent residual network, sub-band, recovery
BibRef
Ahmed, J.[Junaid],
Waqas, M.[Muhammad],
Ali, S.[Shamshad],
Memon, R.A.[Raheel Ahmed],
Klette, R.[Reinhard],
Coupled dictionary learning in wavelet domain for Single-Image
Super-Resolution,
SIViP(12), No. 3, March 2018, pp. 453-461.
Springer DOI
1804
BibRef
Earlier: A1, A5, Only:
Coupled multiple dictionary learning based on edge sharpness for
single-image super-resolution,
ICPR16(3838-3843)
IEEE DOI
1705
Clustering algorithms, Dictionaries, Image reconstruction,
Image resolution, Signal resolution, Sparse matrices, Training
BibRef
Li, K.[Keqiuyin],
Cao, F.[Feilong],
Super-resolution using neighbourhood regression with local structure
prior,
SP:IC(72), 2019, pp. 58-68.
Elsevier DOI
1902
Super-resolution, Clustering, Regression, Structure prior
BibRef
Tai, Y.[Ying],
Yang, J.[Jian],
Liu, X.M.[Xiao-Ming],
Xu, C.,
MemNet: A Persistent Memory Network for Image Restoration,
ICCV17(4549-4557)
IEEE DOI
1802
image coding, image denoising, image resolution, image restoration,
learning (artificial intelligence), neural nets, JPEG deblocking,
Transform coding
BibRef
Tai, Y.[Ying],
Yang, J.[Jian],
Liu, X.M.[Xiao-Ming],
Image Super-Resolution via Deep Recursive Residual Network,
CVPR17(2790-2798)
IEEE DOI
1711
Computational modeling, Convolution, Convolutional codes,
Image resolution, Image restoration, Neural networks, Training
BibRef
Shibata, T.,
Sato, A.,
Single image super resolution based on content-aware constraint and
intensity-order constraint,
MVA17(153-156)
DOI Link
1708
Eigenvalues and eigenfunctions, Image edge detection,
Image reconstruction, Image resolution, Organizations, TV, Training
BibRef
Wang, R.[Ruxin],
Han, C.Y.[Cong-Ying],
Li, M.Q.[Ming-Qiang],
Guo, T.D.[Tian-De],
Single Image Super-Resolution Reconstruction Based on Edge-Preserving
with External and Internal Gradient Prior Knowledge,
NTIRE16(I: 191-205).
Springer DOI
1704
BibRef
Xia, L.Y.,
Lin, X.X.,
Liang, Y.,
Jiang, H.K.,
Chai, H.,
Huang, H.H.,
Image Super-Resolution Reconstruction via L1_2 and S1_2
Regularizations,
DICTA16(1-8)
IEEE DOI
1701
Image edge detection
BibRef
Chen, Z.,
Muramatsu, S.,
Abe, Y.,
Fast image super-resolution via multiple directional transforms,
ICIP16(1434-1438)
IEEE DOI
1610
Image edge detection
BibRef
Su, C.[Chang],
Tao, L.[Li],
Fast single-image upsampling with relative edge growth rate priors,
ICIP15(3876-3880)
IEEE DOI
1512
Image upsampling
BibRef
Krishnan, S.[Shankar],
Klosowski, J.T.[James T.],
Guided image upsampling using bitmap tracing,
ICIP13(650-654)
IEEE DOI
1402
Image edge detection
BibRef
Xi, H.Q.[Hui-Qin],
Xiao, C.B.[Chuang-Bai],
Bian, C.X.[Chun-Xiao],
Edge Halo Reduction for Projections onto Convex Sets Super Resolution
Image Reconstruction,
DICTA12(1-7).
IEEE DOI
1303
BibRef
Kang, W.S.[Won-Seok],
Jeon, J.H.[Jae-Hwan],
Lee, E.S.[Eun-Sung],
Cho, C.H.[Chang-Hun],
Jung, J.H.[Jung-Hoon],
Kim, T.C.[Tae-Chan],
Katsaggelos, A.K.[Aggelos K.],
Paik, J.[Joonki],
Real-time super-resolution for digital zooming using finite
kernel-based edge orientation estimation and truncated image
restoration,
ICIP13(1311-1315)
IEEE DOI
1402
Estimation
BibRef
Jeon, J.H.[Jae-Hwan],
Lee, J.H.[Jin-Hee],
Lee, E.S.[Eun-Sung],
Hayes, M.H.[Monson H.],
Paik, J.K.[Joon-Ki],
Regularized adaptive super-resolution using kernel estimation-based
edge reconnection and kernel orientation constraints,
ICIP12(2213-2216).
IEEE DOI
1302
BibRef
Fan, Y.Q.[Ya-Qiong],
Gan, Z.L.[Zong-Liang],
Qiu, Y.[Yiwen],
Zhu, X.C.[Xiu-Chang],
Single Image Super Resolution Method Based on Edge Preservation,
ICIG11(394-399).
IEEE DOI
1109
BibRef
Bie, H.X.[Hong Xia],
Liu, C.Y.[Chen Yi],
Edge-Directed Sub-Pixel Extraction and Still Image Super-Resolution,
CISP09(1-4).
IEEE DOI
0910
BibRef
Tai, Y.W.[Yu-Wing],
Tong, W.S.[Wai-Shun],
Tang, C.K.[Chi-Keung],
Perceptually-Inspired and Edge-Directed Color Image Super-Resolution,
CVPR06(II: 1948-1955).
IEEE DOI
0606
BibRef
Jung, C.H.[Chan-Ho],
Kim, G.H.[Gyeong-Hwan],
An Iterative Method for Preserving Edges and Reducing Noise in High
Resolution Image Reconstruction,
ACCV06(II:325-334).
Springer DOI
0601
Enhance resolution.
BibRef
Jin, H.Y.[Hai-Yan],
Yang, X.H.[Xiao-Hui],
Jiao, L.C.[Li-Cheng],
Liu, F.[Fang],
Image Enhancement via Fusion Based on Laplacian Pyramid Directional
Filter Banks,
ICIAR05(239-246).
Springer DOI
0509
BibRef
Omrane, N.,
Palmer, P.,
Super-resolution using the Walsh functions, a new algorithm for image
reconstruction,
ICIP03(II: 299-302).
IEEE DOI
0312
BibRef
Kim, H.,
Jang, J.H.,
Hong, K.S.,
Edge-enhancing Super-resolution Using Anisotropic Diffusion,
ICIP01(III: 130-133).
IEEE DOI
0108
BibRef
Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Range Data Super Resolution, Depth Super Resolution .