18.4.3.4 Super Resolution Analysis Using Edges, Edge Analysis for Superresolution

Chapter Contents (Back)
Super Resolution. Edges.

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

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.[Fatih], 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

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


Chen, C., Tian, X., Wu, F., Xiong, Z.,
UDNet: Up-Down Network for Compact and Efficient Feature Representation in Image Super-Resolution,
CEFR-LCV17(1069-1076)
IEEE DOI 1802
Acceleration, Convolution, Feature extraction, Image reconstruction, Image resolution, Interpolation, Real-time systems 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 .


Last update:Aug 16, 2018 at 18:22:30