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Vedadi, F.[Farhang],
Shirani, S.[Shahram],
A MAP-Based Image Interpolation Method via Viterbi Decoding of Markov
Chains of Interpolation Functions,
IP(23), No. 1, January 2014, pp. 424-438.
IEEE DOI
1402
BibRef
Earlier:
Image resolution up-conversion via maximum a posteriori interpolator
sequence estimation and Viterbi algorithm,
ICIP12(881-884).
IEEE DOI
1302
Markov processes
See also De-Interlacing Using Nonlocal Costs and Markov-Chain-Based Estimation of Interpolation Methods.
BibRef
Dumedah, G.,
Walker, J.P.,
Rudiger, C.,
Can SMOS Data be Used Directly on the 15-km Discrete Global Grid?,
GeoRS(52), No. 5, May 2014, pp. 2538-2544.
IEEE DOI
1403
SMOS: Soil Moisture and Ocean Salinity mission.
Brightness temperature.
Can you use at higher resolution.
BibRef
Zeinali, M.,
Ghassemian, H.,
Moghaddasi, M.N.,
A New Magnification Method for RGB Color Images Based on Subpixels
Decomposition,
SPLetters(21), No. 5, May 2014, pp. 577-580.
IEEE DOI
1404
image classification
BibRef
Cha, Y.,
Lee, G.,
Kim, S.,
Image Zooming by Curvature Interpolation and Iterative Refinement,
SIIMS(7), No. 2, 2014, pp. 1284-1308.
DOI Link
1407
BibRef
Maiseli, B.[Baraka],
Elisha, O.[Ogada],
Mei, J.Y.[Jiang-Yuan],
Gao, H.J.[Hui-Jun],
Edge preservation image enlargement and enhancement method based on
the adaptive Perona-Malik non-linear diffusion model,
IET-IPR(8), No. 12, 2014, pp. 753-760.
DOI Link
1412
diffusion
BibRef
Maiseli, B.J.[Baraka Jacob],
Ally, N.[Nassor],
Gao, H.J.[Hui-Jun],
A noise-suppressing and edge-preserving multiframe super-resolution
image reconstruction method,
SP:IC(34), No. 1, 2015, pp. 1-13.
Elsevier DOI
1505
Convex optimization
BibRef
Maiseli, B.J.[Baraka Jacob],
Diffusion-steered super-resolution method based on the
Papoulis-Gerchberg algorithm,
IET-IPR(10), No. 10, 2016, pp. 683-692.
DOI Link
1610
image denoising
BibRef
Maiseli, B.J.[Baraka J.],
Elisha, O.[Ogada],
Gao, H.J.[Hui-Jun],
A multi-frame super-resolution method based on the variable-exponent
nonlinear diffusion regularizer,
JIVP(2015), No. 1, 2015, pp. 22.
DOI Link
1508
BibRef
Guo, S.M.[Shu-Mei],
Hsu, C.Y.[Chih-Yuan],
Kuo, G.H.[Gia-Hao],
Tsai, J.S.H.,
Fast large-scale image enlargement method with a novel evaluation
approach: benchmark function-based peak signal-to-noise ratio,
IET-IPR(9), No. 5, 2015, pp. 358-368.
DOI Link
1506
discrete cosine transforms
BibRef
Zhao, Y.[Yang],
Wang, R.G.[Rong-Gang],
Wang, W.M.[Wen-Min],
Gao, W.[Wen],
High Resolution Local Structure-Constrained Image Upsampling,
IP(24), No. 11, November 2015, pp. 4394-4407.
IEEE DOI
1509
image resolution
BibRef
Zhao, Y.[Yang],
Wang, R.G.[Rong-Gang],
Wang, W.M.[Wen-Min],
Gao, W.[Wen],
Multilevel Modified Finite Radon Transform Network for Image
Upsampling,
CirSysVideo(26), No. 12, December 2016, pp. 2189-2199.
IEEE DOI
1612
Dictionaries
BibRef
Chae, J.K.[Jin-Kee],
Lee, J.Y.[Jae-Yung],
Lee, M.H.[Min-Ho],
Han, J.K.[Jong-Ki],
Nguyen, T.Q.,
Yeo, W.Y.[Woon-Young],
Cubic Convolution Scaler Optimized for Local Property of Image Data,
IP(24), No. 12, December 2015, pp. 4796-4809.
IEEE DOI
1512
convolution
BibRef
Choi, J.,
Kim, M.,
Super-Interpolation With Edge-Orientation-Based Mapping Kernels for
Low Complex 2-times Upscaling,
IP(25), No. 1, January 2016, pp. 469-483.
IEEE DOI
1601
Dictionaries
BibRef
Bredies, K.[Kristian],
Holler, M.[Martin],
A TGV-Based Framework for Variational Image Decompression, Zooming,
and Reconstruction. Part I: Analytics,
SIIMS(8), No. 4, 2015, pp. 2814-2850.
DOI Link
1601
BibRef
Earlier:
A TGV Regularized Wavelet Based Zooming Model,
SSVM13(149-160).
Springer DOI
1305
See also Total Generalized Variation.
BibRef
Bredies, K.[Kristian],
Holler, M.[Martin],
A TGV-Based Framework for Variational Image Decompression, Zooming,
and Reconstruction. Part II: Numerics,
SIIMS(8), No. 4, 2015, pp. 2851-2886.
DOI Link
1601
BibRef
Bredies, K.[Kristian],
Recovering Piecewise Smooth Multichannel Images by Minimization of
Convex Functionals with Total Generalized Variation Penalty,
Optimization11(44-77).
Springer DOI
1405
BibRef
Pang, J.H.[Jia-Hao],
Fang, L.[Lu],
Zeng, J.[Jin],
Guo, Y.F.[Yuan-Fang],
Tang, K.[Ketan],
Subpixel-Based Image Scaling for Grid-like Subpixel Arrangements:
A Generalized Continuous-Domain Analysis Model,
IP(25), No. 3, March 2016, pp. 1017-1032.
IEEE DOI
1602
brightness
BibRef
Cheon, M.[Manri],
Lee, J.S.[Jong-Seok],
Evaluation of objective quality metrics for multidimensional video
scalability,
JVCIR(35), No. 1, 2016, pp. 132-145.
Elsevier DOI
1602
Quality of experience (QoE)
BibRef
Hao, F.[Fei],
Shi, J.F.[Jin-Fei],
Chen, R.[Ruwen],
Zhu, S.Q.[Song-Qing],
Zhang, Z.S.[Zhi-Sheng],
Noise-insensitive and edge-preserving resolution upconversion scheme
for digital image based on the spatial general autoregressive model,
IET-IPR(10), No. 4, 2016, pp. 280-288.
DOI Link
1604
autoregressive processes
BibRef
Hidane, M.,
El Gheche, M.,
Aujol, J.F.,
Berthoumieu, Y.,
Deledalle, C.A.,
Image Zoom Completion,
IP(25), No. 8, August 2016, pp. 3505-3517.
IEEE DOI
1608
image resolution
BibRef
Chen, Q.,
Sun, H.,
Zhang, X.,
Tao, H.,
Yang, J.,
Zhao, J.,
Zheng, N.,
Algorithm and VLSI Architecture of Edge-Directed Image Upscaling for
4k Display System,
CirSysVideo(26), No. 9, September 2016, pp. 1758-1771.
IEEE DOI
1609
Estimation
BibRef
Acharya, A.[Aditya],
Meher, S.[Sukadev],
Efficient fuzzy composite predictive scheme for effectual 2-D
up-sampling of images for multimedia applications,
JVCIR(44), No. 1, 2017, pp. 156-186.
Elsevier DOI
1703
Up-scaling
BibRef
Moon, B.[Byeongho],
Yu, S.[Soohwan],
Ko, S.Y.[Seung-Yong],
Park, S.[Seonhee],
Paik, J.[Joonki],
Continuous digital zooming using local self-similarity-based
super-resolution for an asymmetric dual camera system,
JOSA-A(34), No. 6, June 2017, pp. 991-1003.
DOI Link
1706
Image processing, Digital image processing,
Image reconstruction-restoration, Superresolution, Imaging, systems
BibRef
Maiero, J.[Jens],
Kruijff, E.[Ernst],
Hinkenjann, A.[André],
Ghinea, G.[Gheorghita],
Focus-Plus-Context Techniques for Picoprojection-Based Interaction,
MultMed(19), No. 7, July 2017, pp. 1521-1530.
IEEE DOI
1706
Zooming interface.
Augmented reality, Brightness, Context, Image resolution, Lenses,
Mobile communication, Visualization, Focus plus context,
projection based systems, spatial augmented reality, zooming, interfaces
BibRef
Choi, D.Y.[Dong Yoon],
Song, B.C.[Byung Cheol],
Fast super-resolution algorithm using rotation-invariant ELBP
classifier and hierarchical pattern matching,
JVCIR(48), No. 1, 2017, pp. 1-15.
Elsevier DOI
1708
BibRef
Earlier:
Fast super-resolution algorithm using ELBP classifier,
VCIP15(1-4)
IEEE DOI
1605
Reconstruction.
FIR filters, Reconstruction, classification, super-resolution, up-scaling
BibRef
Li, J.Z.[Jing-Zhong],
Ai, T.H.[Ting-Hua],
Liu, P.C.[Peng-Cheng],
Yang, M.[Min],
Continuous Scale Transformations of Linear Features Using Simulated
Annealing-Based Morphing,
IJGI(6), No. 8, 2017, pp. xx-yy.
DOI Link
1708
BibRef
Mandanas, F.[Fotios],
Kotropoulos, C.[Constantine],
M-estimators for robust multidimensional scaling employing L2,1 norm
regularization,
PR(73), No. 1, 2018, pp. 235-246.
Elsevier DOI
1709
Multidimensional, scaling
BibRef
Su, Z.[Zhuo],
Li, L.Y.[Lang-Yu],
Li, J.H.[Jian-Hong],
Luo, X.N.[Xiao-Nan],
Maximised self-similarity upsampler,
IET-IPR(11), No. 12, Decmeber 2017, pp. 1229-1237.
DOI Link
1712
BibRef
Meng, X.,
Zhang, Z.,
Geng, Z.,
Zhang, M.,
MRF-Based Disparity Upsampling Using Stereo Confidence Evaluations,
SPLetters(25), No. 4, April 2018, pp. 561-565.
IEEE DOI
1804
Markov processes, image matching, image resolution, image sampling,
stereo image processing, MRF-based disparity upsampling,
three-dimensional (3-D) reconstruction
BibRef
Hung, K.W.[Kwok-Wai],
Wang, K.[Kun],
Jiang, J.M.[Jian-Min],
Image up-sampling using deep cascaded neural networks in dual domains
for images down-sampled in DCT domain,
JVCIR(56), 2018, pp. 144-149.
Elsevier DOI
1811
DCT up-sampling, Interpolation, Super-resolution, Deep neural networks
BibRef
Chen, C.H.[Ching-Han],
Chang, H.W.[Hsiang-Wen],
Kuo, C.M.[Chia-Ming],
VLSI implementation of anisotropic probabilistic neural network for
real-time image scaling,
RealTimeIP(16), No. 1, February 2019, pp. 71-80.
WWW Link.
1902
BibRef
Xu, J.[Jian],
Li, M.[Meng],
Fan, J.[Jiulun],
Xie, W.[Wen],
Discarding jagged artefacts in image upscaling with total variation
regularisation,
IET-IPR(13), No. 13, November 2019, pp. 2495-2506.
DOI Link
1911
BibRef
Qiao, Y.G.[Yi-Guo],
Jiao, L.C.[Li-Cheng],
Tang, X.[Xu],
Li, W.B.[Wen-Bin],
Cosker, D.[Darren],
High-quality depth up-sampling via a supervised classification guided
MRF model,
PRL(138), 2020, pp. 315-320.
Elsevier DOI
1806
Markov random fields, -means clustering, -NN,
Supervised classification, Gradient descent algorithm
BibRef
Zhang, L.[Long],
Yang, X.Z.[Xue-Zhi],
Video Magnification under the Presence of Complex Background Motions,
IEICE(E104-D), No. 6, June 2021, pp. 909-914.
WWW Link.
2106
BibRef
Yang, Y.F.[Yi-Fan],
Li, Q.[Qi],
Yu, Y.Y.[Yong-Yi],
He, Z.[Zhuang],
Feng, H.J.[Hua-Jun],
Xu, Z.H.[Zhi-Hai],
Chen, Y.T.[Yue-Ting],
Continuous digital zooming using generative adversarial networks for
dual camera system,
IET-IPR(15), No. 12, 2021, pp. 2880-2890.
DOI Link
2109
BibRef
Zhou, Y.[Yang],
Xu, Y.Y.[Yang-Yang],
Du, Y.[Yong],
Wen, Q.[Qiang],
He, S.F.[Sheng-Feng],
Pro-PULSE: Learning Progressive Encoders of Latent Semantics in GANs
for Photo Upsampling,
IP(31), 2022, pp. 1230-1242.
IEEE DOI
2202
Codes, Semantics, Faces, Generators, Training, Superresolution,
Space exploration, Photo upsampling, GANs, progressive learning, latent space
BibRef
Yu, L.[Li],
Chang, W.[Wenshuai],
Quan, W.[Weize],
Xiao, J.[Jimin],
Yan, D.M.[Dong-Ming],
Gabbouj, M.[Moncef],
Neural texture transfer assisted video coding with adaptive
up-sampling,
SP:IC(107), 2022, pp. 116754.
Elsevier DOI
2208
High-efficiency video coding (HEVC),
Reference-based super-resolution, Low bitrate, Machine learning
BibRef
Fu, H.T.[Hong-Tao],
Liu, W.Z.[Wen-Ze],
Liu, Y.L.[Yu-Liang],
Cao, Z.G.[Zhi-Guo],
Lu, H.[Hao],
SIERRA: A robust bilateral feature upsampler for dense prediction,
CVIU(235), 2023, pp. 103762.
Elsevier DOI
2310
Feature upsampling, Bilateral kernels, Semantic segmentation,
Object detection, Depth estimation, Image superresolution, Image matting
BibRef
Zhu, Y.M.[Yi-Ming],
Wang, C.R.[Cai-Rong],
Dong, C.Y.[Chen-Yu],
Zhang, K.[Ke],
Gao, H.Y.[Hong-Yang],
Yuan, C.[Chun],
High-Frequency Normalizing Flow for Image Rescaling,
IP(32), 2023, pp. 6223-6233.
IEEE DOI
2311
BibRef
Ping, P.[Ping],
Guo, B.[Bobiao],
Bloh, O.T.[Olano Teah],
Mao, Y.C.[Ying-Chi],
Xu, F.[Feng],
Hiding Multiple Images into a Single Image Using Up-Sampling,
MultMed(26), 2024, pp. 4401-4415.
IEEE DOI
2403
Image reconstruction, Image color analysis, Compressed sensing,
Image coding, Artificial intelligence, Image quality, euclidean distance
BibRef
Esmaeilzehi, A.[Alireza],
Mirzaei, M.[Morteza],
Zaredar, H.[Hossein],
Hatzinakos, D.[Dimitrios],
Ahmad, M.O.[M. Omair],
DJUHNet: A deep representation learning-based scheme for the task of
joint image upsampling and hashing,
SP:IC(129), 2024, pp. 117187.
Elsevier DOI
2411
Deep learning, Image hashing, Image upsampling, Representation learning
BibRef
Fu, H.Y.[Hui-Yuan],
Peng, F.[Fei],
Li, X.W.[Xian-Wei],
Li, Y.[Yejun],
Wang, X.[Xin],
Ma, H.D.[Hua-Dong],
Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image
Super-Resolution in Real World,
CVPR24(3035-3044)
IEEE DOI Code:
WWW Link.
2410
Degradation, Metalearning, Training, Visualization, Superresolution,
Optical mixing, Benchmark testing
BibRef
Cao, Z.D.[Zi-Dong],
Ai, H.[Hao],
Cao, Y.P.[Yan-Pei],
Shan, Y.[Ying],
Qie, X.[Xiaohu],
Wang, L.[Lin],
OmniZoomer: Learning to Move and Zoom in on Sphere at High-Resolution,
ICCV23(12851-12861)
IEEE DOI Code:
WWW Link.
2401
BibRef
Liu, W.Z.[Wen-Ze],
Lu, H.[Hao],
Fu, H.T.[Hong-Tao],
Cao, Z.G.[Zhi-Guo],
Learning to Upsample by Learning to Sample,
ICCV23(6004-6014)
IEEE DOI Code:
WWW Link.
2401
BibRef
Ling, H.[Han],
Sun, Y.H.[Ying-Hui],
Sun, Q.S.[Quan-Sen],
Ren, Z.W.[Zhen-Wen],
Learning Optical Expansion from Scale Matching,
CVPR23(5445-5454)
IEEE DOI
2309
BibRef
Thavamani, C.[Chittesh],
Li, M.T.[Meng-Tian],
Ferroni, F.[Francesco],
Ramanan, D.[Deva],
Learning to Zoom and Unzoom,
CVPR23(5086-5095)
IEEE DOI
2309
BibRef
Meethal, A.[Akhil],
Granger, E.[Eric],
Pedersoli, M.[Marco],
Cascaded Zoom-in Detector for High Resolution Aerial Images,
EarthVision23(2046-2055)
IEEE DOI
2309
BibRef
Vasconcelos, C.N.[Cristina N.],
Oztireli, C.[Cengiz],
Matthews, M.[Mark],
Hashemi, M.[Milad],
Swersky, K.[Kevin],
Tagliasacchi, A.[Andrea],
CUF: Continuous Upsampling Filters,
CVPR23(9999-10008)
IEEE DOI
2309
BibRef
Song, G.[Gaochao],
Sun, Q.[Qian],
Zhang, L.[Luo],
Su, R.[Ran],
Shi, J.F.[Jian-Feng],
He, Y.[Ying],
OPE-SR: Orthogonal Position Encoding for Designing a Parameter-free
Upsampling Module in Arbitrary-scale Image Super-Resolution,
CVPR23(10009-10020)
IEEE DOI
2309
BibRef
Xiao, L.F.[Li-Fang],
Jin, D.[Dacong],
Cheng, Y.[Yali],
Luo, M.Y.[Ming-Yang],
Fractional Differential-Interpolation Combined Image Amplification
Algorithm,
ICRVC22(175-179)
IEEE DOI
2301
Interpolation, Differential operators, Image processing,
Image edge detection, interpolation, image magnification
BibRef
Lu, H.[Hao],
Liu, W.Z.[Wen-Ze],
Fu, H.T.[Hong-Tao],
Cao, Z.G.[Zhi-Guo],
FADE: Fusing the Assets of Decoder and Encoder for Task-Agnostic
Upsampling,
ECCV22(XXVII:231-247).
Springer DOI
2211
BibRef
Xiang, X.Y.[Xiao-Yu],
Tian, Y.[Yapeng],
Rengarajan, V.[Vijay],
Young, L.D.[Lucas D.],
Zhu, B.[Bo],
Ranjan, R.[Rakesh],
Learning Spatio-Temporal Downsampling for Effective Video Upscaling,
ECCV22(XVIII:162-181).
Springer DOI
2211
BibRef
Takeda, S.[Shoichiro],
Niwa, K.[Kenta],
Isogawa, M.[Mariko],
Shimizu, S.[Shinya],
Okami, K.[Kazuki],
Aono, Y.S.[Yu-Shi],
Bilateral Video Magnification Filter,
CVPR22(17348-17357)
IEEE DOI
2210
Band-pass filters, Laplace equations, Filtering, Dynamics,
Passband, Low-level vision,
Image and video synthesis and generation
BibRef
Khakhulin, T.,
Korzhenkov, D.,
Solovev, P.,
Sterkin, G.,
Ardelean, A.T.,
Lempitsky, V.,
Stereo Magnification with Multi-Layer Images,
CVPR22(8677-8686)
IEEE DOI
2210
Geometry, Image color analysis, Shape,
Rendering (computer graphics), Real-time systems, Vision + graphics
BibRef
Kim, S.Y.[Soo Ye],
Aberman, K.[Kfir],
Kanazawa, N.[Nori],
Garg, R.[Rahul],
Wadhwa, N.[Neal],
Chang, H.[Huiwen],
Karnad, N.[Nikhil],
Kim, M.C.[Mun-Churl],
Liba, O.[Orly],
Zoom-to-Inpaint: Image Inpainting with High-Frequency Details,
NTIRE22(476-486)
IEEE DOI
2210
Training, Deep learning, Modular construction,
Superresolution, Refining, Neural networks
BibRef
Klopp, J.P.[Jan P.],
Liu, K.C.[Keng-Chi],
Chien, S.Y.[Shao-Yi],
Chen, L.G.[Liang-Gee],
Online-trained Upsampler for Deep Low Complexity Video Compression,
ICCV21(7909-7918)
IEEE DOI
2203
Deep learning, Codecs, Superresolution, Neural networks,
Video compression, Encoding, Decoding,
Image and video synthesis
BibRef
Talebi, H.[Hossein],
Milanfar, P.[Peyman],
Learning to Resize Images for Computer Vision Tasks,
ICCV21(487-496)
IEEE DOI
2203
Training, Measurement, Adaptation models, Visualization,
Computational modeling, Machine vision,
Computational photography
BibRef
Liang, J.Y.[Jing-Yun],
Lugmayr, A.[Andreas],
Zhang, K.[Kai],
Danelljan, M.[Martin],
Van Gool, L.J.[Luc J.],
Timofte, R.[Radu],
Hierarchical Conditional Flow: A Unified Framework for Image
Super-Resolution and Image Rescaling,
ICCV21(4056-4065)
IEEE DOI
2203
Measurement, Training, Visualization, Superresolution, Task analysis,
Faces, Low-level and physics-based vision,
BibRef
Belharbi, S.[Soufiane],
Sarraf, A.[Aydin],
Pedersoli, M.[Marco],
Ben Ayed, I.[Ismail],
McCaffrey, L.[Luke],
Granger, E.[Eric],
F-CAM: Full Resolution Class Activation Maps via Guided Parametric
Upscaling,
WACV22(3727-3736)
IEEE DOI
2202
Location awareness, Training, Interpolation, Visualization,
Image resolution, Computer architecture, Decoding,
Object Detection/Recognition/Categorization
weakly supervised object localization
BibRef
Gat, N.[Noam],
Benaim, S.[Sagie],
Wolf, L.B.[Lior B.],
Identity and Attribute Preserving Thumbnail Upscaling,
ICIP21(2708-2712)
IEEE DOI
2201
Image resolution, Image recognition, Face recognition,
Feature extraction, Task analysis, Facial features,
Generation
BibRef
Huang, Y.C.[Yan-Cheng],
Chen, Y.H.[Yi-Hsin],
Lu, C.Y.[Cheng-You],
Wang, H.P.[Hui-Po],
Peng, W.H.[Wen-Hsiao],
Huang, C.C.[Ching-Chun],
Video Rescaling Networks with Joint Optimization Strategies for
Downscaling and Upscaling,
CVPR21(3526-3535)
IEEE DOI
2111
Couplings, Computational modeling,
Neural networks, Computer architecture, Task analysis
BibRef
Menon, S.,
Damian, A.,
Hu, S.,
Ravi, N.,
Rudin, C.,
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration
of Generative Models,
CVPR20(2434-2442)
IEEE DOI
2008
Image resolution, Face, Training, Task analysis, Manifolds,
Measurement
BibRef
Zhang, X.[Xuaner],
Chen, Q.F.[Qi-Feng],
Ng, R.[Ren],
Koltun, V.[Vladlen],
Zoom to Learn, Learn to Zoom,
CVPR19(3757-3765).
IEEE DOI
2002
BibRef
He, J.W.[Jing-Wen],
Dong, C.[Chao],
Qiao, Y.[Yu],
Modulating Image Restoration With Continual Levels via Adaptive Feature
Modification Layers,
CVPR19(11048-11056).
IEEE DOI
2002
BibRef
Takeda, S.[Shoichiro],
Akagi, Y.[Yasunori],
Okami, K.[Kazuki],
Isogai, M.[Megumi],
Kimata, H.[Hideaki],
Video Magnification in the Wild Using Fractional Anisotropy in Temporal
Distribution,
CVPR19(1614-1622).
IEEE DOI
2002
BibRef
Turek, J.S.,
Huth, A.G.,
Efficient, Sparse Representation of Manifold Distance Matrices for
Classical Scaling,
CVPR18(2850-2858)
IEEE DOI
1812
Sparse matrices, Interpolation, Manifolds, Matrix decomposition,
Memory management, Approximation algorithms, Geometry
BibRef
Recasens, A.[Adrià],
Kellnhofer, P.[Petr],
Stent, S.[Simon],
Matusik, W.[Wojciech],
Torralba, A.B.[Antonio B.],
Learning to Zoom: A Saliency-Based Sampling Layer for Neural Networks,
ECCV18(IX: 52-67).
Springer DOI
1810
BibRef
Chen, Y.,
Yu, L.,
Wang, S.,
An improved MRF model for robust color guided depth up-sampling,
VCIP17(1-4)
IEEE DOI
1804
Markov processes, image colour analysis, image texture,
depth discontinuity, depth map, improved MRF model,
texture copy artifacts
BibRef
Zhang, Y.C.[Yi-Chao],
Pintea, S.L.[Silvia L.],
van Gemert, J.C.[Jan C.],
Video Acceleration Magnification,
CVPR17(502-510)
IEEE DOI
1711
Acceleration, Cameras, Feature extraction, Laplace equations,
Linearity, Taylor series, Tracking
BibRef
Pujades, S.,
Devernay, F.,
Boiron, L.,
Ronfard, R.,
The Stereoscopic Zoom,
CCD17(1295-1304)
IEEE DOI
1709
Cameras, Lenses, Optical imaging, Rendering (computer graphics),
Stereo image processing, Two,
dimensional, displays
BibRef
Fu, X.Y.[Xiang-Yi],
Zhou, F.[Fei],
Liao, Q.M.[Qing-Min],
Image amplification based on pixel-splitting,
ICIP14(3919-3923)
IEEE DOI
1502
Belts
BibRef
Somawirata, I.K.[I Komang],
Uchimura, K.[Keiichi],
Koutaki, G.[Gou],
Single image enlargement based on kernel estimation and linear
weighting,
FCV13(174-178).
IEEE DOI
1304
BibRef
Prelee, M.A.[Matthew A.],
Neuhoff, D.L.[David L.],
Image interpolation from Manhattan cutset samples via orthogonal
gradient method,
ICIP14(1842-1846)
IEEE DOI
1502
Image edge detection
BibRef
Prelee, M.A.[Matthew A.],
Neuhoff, D.L.[David L.],
Pappas, T.N.[Thrasyvoulos N.],
Image reconstruction from a Manhattan grid via piecewise plane fitting
and Gaussian Markov random fields,
ICIP12(2061-2064).
IEEE DOI
1302
interpolate to get interior pixels.
BibRef
Fan, T.[Tao],
Zhao, H.W.[Hai-Wu],
Wang, G.Z.[Guo-Zhong],
Chen, J.W.[Jian-Wen],
Xu, F.[Feng],
Villasenor, J.[John],
An adaptive covariance-based edge diffusion image enlargement method,
VCIP12(1-6).
IEEE DOI
1302
BibRef
Veksler, O.[Olga],
Dynamic Programming for Approximate Expansion Algorithm,
ECCV12(III: 850-863).
Springer DOI
1210
BibRef
HaCohen, Y.,
Fattal, R.,
Lischinski, D.,
Image upsampling via texture hallucination,
ICCP10(1-8).
IEEE DOI
1208
BibRef
Wang, R.S.[Rui-Sheng],
Bach, J.[Jeff],
Macfarlane, J.[Jane],
Ferrie, F.P.[Frank P.],
A new upsampling method for mobile LiDAR data,
WACV12(17-24).
IEEE DOI
1203
See also Window detection from mobile LiDAR data.
See also Camera localization and building reconstruction from single monocular images.
BibRef
Chen, W.C.[Wei-Chi],
Lee, M.S.[Ming-Sui],
A low-complexity upsampling technique for H.264,
VCIP11(1-4).
IEEE DOI
1201
BibRef
Joshi, S.H.[Shantanu H.],
Marquina, A.L.[Antonio L.],
Osher, S.J.[Stanley J.],
Dinov, I.D.[Ivo D.],
Toga, A.W.[Arthur W.],
van Horn, J.D.[John D.],
Fast edge-filtered image upsampling,
ICIP11(1165-1168).
IEEE DOI
1201
BibRef
Pan, G.[Gang],
Li, W.S.[Wei-Shu],
Bai, W.[Wei],
Chen, J.Y.[Jin-Yan],
Li, L.Y.[Lu-Yuan],
Reverse Seam Carving,
ICIG11(50-55).
IEEE DOI
1109
Content aware resizing (reduction and expansion).
BibRef
Yan, X.[Xing],
Shen, J.B.[Jian-Bing],
Fast gradient-aware upsampling for cartoon video,
IASP10(636-639).
IEEE DOI
1004
BibRef
Yong, T.F.[Tien Fui],
Choo, W.O.[Wou Onn],
Kok, H.M.[Hui Meian],
Color Image Magnification: Geometrical Pattern Classification Approach,
IVIC09(619-626).
Springer DOI
0911
BibRef
Ekmekcioglu, E.[Erhan],
Mrak, M.[Marta],
Worrall, S.T.[Stewart T.],
Kondoz, A.M.[Ahmet M.],
Utilisation of edge adaptive upsampling in compression of depth map
videos for enhanced free-viewpoint rendering,
ICIP09(733-736).
IEEE DOI
0911
BibRef
Du, H.Q.[Hui-Qian],
Mei, W.B.[Wen-Bo],
Image Resizing Using Exponential B-Spline Functions,
CISP09(1-5).
IEEE DOI
0910
BibRef
Jia, X.J.[Xiao-Jun],
A Method of Image Enlargement Based on Constrained Pixels,
CISP09(1-5).
IEEE DOI
0910
BibRef
Frucci, M.[Maria],
Arcelli, C.[Carlo],
Sanniti di Baja, G.[Gabriella],
An Automatic Image Scaling Up Algorithm,
MCPR12(35-44).
Springer DOI
1208
BibRef
Earlier: A2, A1, A3:
A New Technique for Image Magnification,
CIAP09(53-61).
Springer DOI
0909
BibRef
Ramachandra, V.[Vikas],
Patti, A.J.[Andrew J.],
Motion-compensated deblocking and upscaling for viewing low-res videos
on high-res displays,
ICIP08(3176-3179).
IEEE DOI
0810
BibRef
Bourquard, A.,
Thevenaz, P.,
Balac, K.,
Unser, M.,
Consistent and regularized magnification of images,
ICIP08(325-328).
IEEE DOI
0810
BibRef
Hirabayashi, A.[Akira],
Condat, L.[Laurent],
A Compact Image Magnification Method with Preservation of Preferential
Components,
ICIP07(V: 385-388).
IEEE DOI
0709
BibRef
Akgun, T.[Toygar],
Altunbasak, Y.[Yucel],
A Coupled Feature-Filter Clustering Scheme for Resolution Synthesis,
ICIP07(V: 405-408).
IEEE DOI
0709
BibRef
Ebrahimi, M.[Mehran],
Vrscay, E.R.[Edward R.],
Solving the Inverse Problem of Image Zooming Using 'Self-Examples',
ICIAR07(117-130).
Springer DOI
0708
BibRef
Luong, H.Q.[Hiêp Quang],
Goossens, B.[Bart],
Philips, W.[Wilfried],
Image Upscaling Using Global Multimodal Priors,
ACIVS07(473-484).
Springer DOI
0708
See also Non-Local Text Image Reconstruction.
BibRef
Luong, H.Q.[Hiêp Quang],
Philips, W.[Wilfried],
Reconstruction of Low-Resolution Images Using Adaptive Bimodal Priors,
ICIAR07(69-80).
Springer DOI
0708
BibRef
Shi, J.Z.[Jia-Zheng],
Reichenbach, S.E.,
Spatially Constrained Wiener Filter with Markov Autocorrelation
Modeling for Image Resolution Enhancement,
ICIP06(2681-2684).
IEEE DOI
0610
BibRef
Kakukou, N.,
Ogawa, T.,
Haseyama, M.,
Kitajima, H.,
An Accurate IFS-Based Image Enlargement Method using Line Process,
ICIP06(2701-2704).
IEEE DOI
0610
BibRef
Marques, M.[Manuel],
Neves, A.[Alexandre],
Marques, J.S.[Jorge S.],
Sanches, J.M.[João M.],
The Papoulis-Gerchberg Algorithm with Unknown Signal Bandwidth,
ICIAR06(I: 436-445).
Springer DOI
0610
Papoulis-Gerchberg for missing data in low pass signals.
BibRef
Rabaud, V.,
Belongie, S.,
Big Little Icons,
VisImpaired05(III: 24-24).
IEEE DOI
0507
super-resolution to exploit icon design to expand them.
BibRef
Belahmidi, A.,
Guichard, F.,
A partial differential equation approach to image zoom,
ICIP04(I: 649-652).
IEEE DOI
0505
BibRef
Hentschel, C.,
Generic method for 2D image resizing with non-separable filters,
ICIP04(III: 1653-1656).
IEEE DOI
0505
BibRef
Morse, B.S.[Bryan S.], and
Schwartzwald, D.[Duane],
Image Magnification Using Level-Set Reconstruction,
CVPR01(I:333-340).
IEEE DOI
0110
BibRef
Earlier:
Isophote-based interpolation,
ICIP98(III: 227-231).
IEEE DOI
9810
Produces sharp, smooth contours.
BibRef
Nicolier, F.,
Image Magnification Using Decimated Orthogonal Wavelet Transform,
ICIP00(Vol II: 355-358).
IEEE DOI
0008
BibRef
Siebert, A.[Andreas],
A differential invariant for zooming,
ICIP99(III:508-512).
IEEE DOI
BibRef
9900
Ratakonda, K.[Krishna],
Ahuja, N.[Narendra],
POCS based adaptive image magnification,
ICIP98(III: 203-207).
IEEE DOI
9810
BibRef
Earlier:
Super Resolution with Region Sensitive Interpolation,
DARPA97(537-540).
BibRef
Oraintara, S.,
Nguyen, T.Q.,
Image/video scaling algorithm based on multirate signal processing,
ICIP98(II: 732-736).
IEEE DOI
9810
BibRef
Martucci, S.A.,
Image resizing in the discrete cosine transform domain,
ICIP95(II: 244-247).
IEEE DOI
9510
BibRef
Marino, F.[Francescomaria],
Mastronardi, G.[Giuseppe],
Quality enhancement in image enlargement,
CIAP95(435-440).
Springer DOI
9509
BibRef
Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Image Manipulation, Image Interpolation -- Interpolation Operations .