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Radon transforms
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IEEE DOI
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Image reconstruction; Algebraic reconstruction; Inverse problems;
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Maleh, R.,
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Strauss, M.J.,
Sparse Gradient Image Reconstruction Done Faster,
ICIP07(II: 77-80).
IEEE DOI
0709
BibRef
Zachariah, D.,
Sundin, M.,
Jansson, M.,
Chatterjee, S.,
Alternating Least-Squares for Low-Rank Matrix Reconstruction,
SPLetters(19), No. 4, April 2012, pp. 231-234.
IEEE DOI
1203
BibRef
Thirumalai, V.[Vijayaraghavan],
Frossard, P.[Pascal],
Distributed Representation of Geometrically Correlated Images With
Compressed Linear Measurements,
IP(21), No. 7, July 2012, pp. 3206-3219.
IEEE DOI
1206
BibRef
Earlier:
Image reconstruction from compressed linear measurements with side
information,
ICIP11(2669-2672).
IEEE DOI
1201
BibRef
Thirumalai, V.[Vijayaraghavan],
Frossard, P.[Pascal],
Joint Reconstruction of Multiview Compressed Images,
IP(22), No. 5, May 2013, pp. 1969-1981.
IEEE DOI
1304
BibRef
Thirumalai, V.[Vijayaraghavan],
Frossard, P.[Pascal],
Correlation estimation from compressed images,
JVCIR(24), No. 6, August 2013, pp. 649-660.
Elsevier DOI
1306
Linear measurements; Correlation estimation; Distributed
image compression; Joint reconstruction; Graph cuts; Optimization;
Quantization; Proximal splitting
BibRef
Carson, W.R.[William R.],
Chen, M.H.[Min-Hua],
Rodrigues, M.R.D.[Miguel R.D.],
Calderbank, R.[Robert],
Carin, L.[Lawrence],
Communications-Inspired Projection Design with Application to
Compressive Sensing,
SIIMS(5), No. 4, 2012, pp. 1185-1212.
DOI Link
1211
Recovery of the signal based on projections
BibRef
Chen, W.,
Rodrigues, M.R.D.,
Dictionary Learning With Optimized Projection Design for Compressive
Sensing Applications,
SPLetters(20), No. 10, 2013, pp. 992-995.
IEEE DOI
1309
BibRef
Peyvandi, S.,
Amirshahi, S.H.,
Hernandez-Andres, J.[Javier],
Nieves, J.L.[Juan L.],
Romero, J.[Javier],
Generalized Inverse-Approach Model for Spectral-Signal Recovery,
IP(22), No. 2, February 2013, pp. 501-510.
IEEE DOI
1302
BibRef
Frick, K.[Klaus],
Marnitz, P.[Philipp],
Munk, A.[Axel],
Statistical Multiresolution Estimation for Variational Imaging: With an
Application in Poisson-Biophotonics,
JMIV(46), No. 3, July 2013, pp. 370-387.
WWW Link.
1306
BibRef
Earlier: A1, A2, Only:
A Statistical Multiresolution Strategy for Image Reconstruction,
SSVM11(74-85).
Springer DOI
1201
BibRef
Carrillo, R.E.,
McEwen, J.D.,
van de Ville, D.,
Thiran, J.P.,
Wiaux, Y.,
Sparsity Averaging for Compressive Imaging,
SPLetters(20), No. 6, 2013, pp. 591-594.
IEEE DOI
1307
Gaussian processes; single orthonormal basis;
spread spectrum scheme
BibRef
Auria, A.[Anna],
Carrillo, R.E.[Rafael E.],
Thiran, J.P.[Jean-Philippe],
Wiaux, Y.[Yves],
Sparsity in tensor optimization for optical-interferometric imaging,
ICIP14(6026-6030)
IEEE DOI
1502
Image reconstruction
BibRef
McEwen, J.D.,
Puy, G.,
Thiran, J.P.,
Vandergheynst, P.[Pierre],
van de Ville, D.[Dimitri],
Wiaux, Y.,
Sparse Image Reconstruction on the Sphere:
Implications of a New Sampling Theorem,
IP(22), No. 6, 2013, pp. 2275-2285.
IEEE DOI
1307
inpainting problem
BibRef
Wallis, C.G.R.,
Wiaux, Y.,
McEwen, J.D.,
Sparse Image Reconstruction on the Sphere: Analysis and Synthesis,
IP(26), No. 11, November 2017, pp. 5176-5187.
IEEE DOI
1709
Galactic dust emission, Planck,
Harmonic analysis,
Wavelet transforms, Wigner transform
BibRef
Pesquet, J.C.[Jean-Christophe],
Repetti, A.[Audrey],
Terris, M.[Matthieu],
Wiaux, Y.[Yves],
Learning Maximally Monotone Operators for Image Recovery,
SIIMS(14), No. 3, 2021, pp. 1206-1237.
DOI Link
2108
BibRef
Terris, M.[Matthieu],
Repetti, A.[Audrey],
Pesquet, J.C.[Jean-Christophe],
Wiaux, Y.[Yves],
Enhanced Convergent PNP Algorithms for Image Restoration,
ICIP21(1684-1688)
IEEE DOI
2201
Training, Deconvolution, Artificial neural networks, Data science,
Data models, Image restoration, Neural networks,
image restoration
BibRef
Puy, G.,
Vandergheynst, P.[Pierre],
Robust Image Reconstruction from Multiview Measurements,
SIIMS(7), No. 1, 2014, pp. 128-156.
DOI Link
1404
BibRef
d'Angelo, E.[Emmanuel],
Jacques, L.,
Alahi, A.[Alexandre],
Vandergheynst, P.[Pierre],
From Bits to Images: Inversion of Local Binary Descriptors,
PAMI(36), No. 5, May 2014, pp. 874-887.
IEEE DOI
1405
Benchmark testing
BibRef
Earlier: A1, A3, A4, Only:
Beyond bits: Reconstructing images from Local Binary Descriptors,
ICPR12(935-938).
WWW Link.
1302
BibRef
Pan, H.J.[Han-Jie],
Blu, T.[Thierry],
An Iterative Linear Expansion of Thresholds for L_1 -Based Image
Restoration,
IP(22), No. 9, 2013, pp. 3715-3728.
IEEE DOI
1309
BibRef
Earlier:
Sparse image restoration using iterated linear expansion of thresholds,
ICIP11(1905-1908).
IEEE DOI
1201
Image restoration
BibRef
Kyrillidis, A.[Anastasios],
Cevher, V.[Volkan],
Matrix Recipes for Hard Thresholding Methods,
JMIV(48), No. 2, February 2014, pp. 235-265.
Springer DOI
1402
recovery algorithms for linear inverse problems.
BibRef
Scholefield, A.,
Dragotti, P.L.,
Quadtree Structured Image Approximation for Denoising and
Interpolation,
IP(23), No. 3, March 2014, pp. 1226-1239.
IEEE DOI
1403
computational complexity
BibRef
Yang, J.M.[Jae-Mo],
Kang, H.G.[Hong-Goo],
An Efficient Multichannel Linear Prediction-Based Blind Equalization
Algorithm in Near Common Zeros Condition,
SPLetters(21), No. 3, March 2014, pp. 306-310.
IEEE DOI
1403
blind equalisers
BibRef
Zhang, Q.,
Plemmons, R.J.,
Image Reconstruction From Double Random Projection,
IP(23), No. 6, June 2014, pp. 2501-2513.
IEEE DOI
1406
Approximation algorithms
BibRef
Chandra, S.[Shekhar],
Svalbe, I.[Imants],
Exact image representation via a number-theoretic radon transform,
IET-CV(8), No. 4, August 2014, pp. 338-346.
DOI Link
1407
Fully recover an image from discrete projections.
BibRef
Lazar, A.A.,
Zhou, Y.Y.[Yi-Yin],
Reconstructing Natural Visual Scenes From Spike Times,
PIEEE(102), No. 10, October 2014, pp. 1500-1519.
IEEE DOI
1410
digital signal processing chips
BibRef
Peng, Y.G.[Yi-Gang],
Suo, J.L.[Jin-Li],
Dai, Q.H.[Qiong-Hai],
Xu, W.L.[Wen-Li],
Reweighted Low-Rank Matrix Recovery and its Application in Image
Restoration,
Cyber(44), No. 12, December 2014, pp. 2418-2430.
IEEE DOI
1402
convex programming
BibRef
Suo, J.L.[Jin-Li],
Bian, L.H.[Li-Heng],
Chen, F.[Feng],
Dai, Q.H.[Qiong-Hai],
Signal-dependent noise removal for color videos using temporal and
cross-channel priors,
JVCIR(36), No. 1, 2016, pp. 130-141.
Elsevier DOI
1603
Color video denoising
BibRef
Peng, Y.G.[Yi-Gang],
Suo, J.L.[Jin-Li],
Dai, Q.H.[Qiong-Hai],
Xu, W.L.[Wen-Li],
Lu, S.[Song],
Robust Image Restoration via Reweighted Low-Rank Matrix Recovery,
MMMod14(I: 315-326).
Springer DOI
1405
BibRef
Zhang, Y.B.[Yong-Bing],
Sun, L.L.[Lu-Lu],
Yan, C.G.[Cheng-Gang],
Ji, X.Y.[Xiang-Yang],
Dai, Q.H.[Qiong-Hai],
Adaptive Residual Networks for High-Quality Image Restoration,
IP(27), No. 7, July 2018, pp. 3150-3163.
IEEE DOI
1805
image denoising, image resolution, image restoration, ARN,
Gaussian image denoising, JPEG image deblocking,
image super resolution
BibRef
He, X.W.[Xiao-Wei],
Fan, J.L.[Jun-Li],
Zheng, Z.L.[Zhong-Long],
Image restoration with L2-type edge-continuous overlapping group
sparsity,
PRL(68, Part 1), No. 1, 2015, pp. 211-216.
Elsevier DOI
1512
Inverse problem
BibRef
Fatemi, M.,
Amini, A.,
Baboulaz, L.[Loic],
Vetterli, M.[Martin],
Shapes From Pixels,
IP(25), No. 3, March 2016, pp. 1193-1206.
IEEE DOI
1602
image reconstruction. Recover shape with smooth boundaries from a set of
samples.
BibRef
Bao, Y.J.[Yi-Jun],
Gaylord, T.K.[Thomas K.],
Quantitative phase imaging method based on an analytical nonparaxial
partially coherent phase optical transfer function,
JOSA-A(33), No. 11, November 2016, pp. 2125-2136.
DOI Link
1609
Image reconstruction techniques
BibRef
Bao, Y.J.[Yi-Jun],
Gaylord, T.K.[Thomas K.],
Quantitative phase imaging method based on an analytical nonparaxial
partially coherent phase optical transfer function: erratum,
JOSA-A(34), No. 8, August 2017, pp. 1329-1329.
DOI Link
1708
Image reconstruction techniques, Phase retrieval,
Optical transfer functions, Partial coherence in imaging.
BibRef
Cheikh, B.B.[Bassem Ben],
Baudrier, É.[Étienne],
Frey, G.[Gabriel],
A tomographical reconstruction method from unknown direction
projections for 2D gray-level images,
PRL(86), No. 1, 2017, pp. 49-55.
Elsevier DOI
1702
Tomography
BibRef
Fillion, C.[Celia],
Daurat, A.[Alain],
Naegel, B.[Benoit],
Frey, G.[Gabriel],
Baudrier, E.[Etienne],
A new ab initio reconstruction method from unknown-direction
projections of 2D binary set,
ICIP13(1031-1035)
IEEE DOI
1402
Cost function
BibRef
Lin, L.P.[Le-Ping],
Liu, F.[Fang],
Jiao, L.C.[Li-Cheng],
Yang, S.Y.[Shu-Yuan],
Hao, H.X.[Hong-Xia],
The Overcomplete Dictionary-Based Directional Estimation Model and
Nonconvex Reconstruction Methods,
Cyber(48), No. 3, March 2018, pp. 1042-1053.
IEEE DOI
1802
Cybernetics, Dictionaries, Estimation, Image coding,
Image reconstruction, Optimization, Reconstruction algorithms,
structure redundancy
BibRef
Buzzard, G.T.[Gregery T.],
Chan, S.H.[Stanley H.],
Sreehari, S.[Suhas],
Bouman, C.A.[Charles A.],
Plug-and-Play Unplugged:
Optimization-Free Reconstruction Using Consensus Equilibrium,
SIIMS(11), No. 3, 2018, pp. 2001-2020.
DOI Link
1810
BibRef
Lee, K.Y.[Kir-Yung],
Krahmer, F.[Felix],
Romberg, J.[Justin],
Spectral Methods for Passive Imaging:
Nonasymptotic Performance and Robustness,
SIIMS(11), No. 3, 2018, pp. 2110-2164.
DOI Link
1810
Unknown unstructured illumination.
BibRef
Wang, Y.W.[Yong-Wei],
Ward, R.[Rabab],
Wang, Z.J.[Z. Jane],
Coarse-to-Fine Image DeHashing Using Deep Pyramidal Residual Learning,
SPLetters(26), No. 9, September 2019, pp. 1295-1299.
IEEE DOI
1909
Infer an image by inverting the hash.
convolutional neural nets, image coding, image colour analysis,
image reconstruction, image representation, image retrieval,
long-range residuals
BibRef
Chen, Y.M.[Yun-Mei],
Li, B.[Bin],
Ye, X.J.[Xiao-Jing],
A Two-Stage Algorithm for Joint Multimodal Image Reconstruction,
SIIMS(12), No. 3, 2019, pp. 1425-1463.
DOI Link
1911
Get edges from data, recover image from edges.
BibRef
Bertolini, M.[Marina],
Magri, L.[Luca],
Turrini, C.[Cristina],
Critical Loci for Two Views Reconstruction as Quadratic Transformations
Between Images,
JMIV(61), No. 9, November 2019, pp. 1322-1328.
Springer DOI
1911
BibRef
Erkoc, M.E.[Murat Emre],
Karaboga, N.[Nurhan],
Evolutionary algorithms for sparse signal reconstruction,
SIViP(13), No. 7, October 2019, pp. 1293-1301.
WWW Link.
1911
BibRef
Bilal, M.[Mohsin],
Arif, M.[Muhammad],
A generalized modeling of ill-posed inverse reconstruction of images
using a novel data-driven framework,
SIViP(14), No. 2, March 2020, pp. 333-341.
Springer DOI
2003
With learning.
BibRef
Liu, D.[Dong],
Sun, K.[Ke],
Wang, Z.Y.[Zhang-Yang],
Liu, R.S.[Run-Sheng],
Zha, Z.J.[Zheng-Jun],
Frank-Wolfe Network:
An Interpretable Deep Structure for Non-Sparse Coding,
CirSysVideo(30), No. 9, September 2020, pp. 3068-3080.
IEEE DOI
2009
Encoding, Iterative methods, Minimization, Task analysis,
Convolutional codes, Convolution, Convolutional network,
non-sparse coding
BibRef
Zha, S.X.[Sheng-Xin],
Pappas, T.N.[Thrasyvoulos N.],
Neuhoff, D.L.[David L.],
Hierarchical Lossy Bilevel Image Compression Based on Cutset Sampling,
IP(30), 2021, pp. 1527-1541.
IEEE DOI
2101
BibRef
Earlier:
Hierarchical bilevel image compression based on cutset sampling,
ICIP12(2517-2520).
IEEE DOI
1302
Image coding, Image reconstruction, Bit rate, Rate-distortion,
Standards, Error analysis, Decoding, Lossy bilevel image coding,
Markov random fields (MRFs)
BibRef
Zha, S.X.[Sheng-Xin],
Pappas, T.N.[Thrasyvoulos N.],
A hybrid Markov random field model for bilevel cutset reconstruction,
ICIP16(3523-3527)
IEEE DOI
1610
BibRef
Earlier:
Pattern-based k-level cutset reconstruction,
ICIP15(3344-3348)
IEEE DOI
1512
Image coding. Sample along spaced row and column.
Cutset; pattern-based; reconstruction
BibRef
Dou, H.F.[Hao-Feng],
Chen, K.[Ke],
Li, Q.X.[Qing-Xia],
Jin, R.[Rong],
Wu, Y.C.[Yuan-Chao],
Lei, Z.Y.[Zhen-Yu],
Analysis and Correction of the Rank-Deficient Error for 2-D Mirrored
Aperture Synthesis,
GeoRS(59), No. 3, March 2021, pp. 2222-2230.
IEEE DOI
2103
Image reconstruction, Brightness temperature, Mathematical model,
Temperature measurement, Antenna arrays, Apertures,
rank-deficient error
BibRef
Lei, L.[Lin],
Sun, Y.[Yuli],
Li, X.[Xiao],
Sparse signal recovery via infimal convolution based penalty,
SP:IC(94), 2021, pp. 116214.
Elsevier DOI
2104
Sparse recovery, Non-convex regularization,
Difference of convex, forward-backward splitting,
Image reconstruction
BibRef
Zou, Q.Y.[Qiu-Yun],
Zhang, H.C.[Hao-Chuan],
Yang, H.W.[Hong-Wen],
Expectation-Maximization-Aided Hybrid Generalized Expectation
Consistent for Sparse Signal Reconstruction,
SPLetters(28), 2021, pp. 648-652.
IEEE DOI
2104
Signal processing algorithms, Approximation algorithms,
Matching pursuit algorithms, Engines, Standards, Message passing,
structured sparse signal
BibRef
Yun, J.D.[Joo Dong],
Kim, Y.H.[Yun-Ho],
Two-stage adaptive random Fourier sampling method for image
reconstruction,
PR(117), 2021, pp. 107990.
Elsevier DOI
2106
Image reconstruction, High magnitude Fourier samples,
Variable density random sampling, Constrained minimization
BibRef
Chen, Y.M.[Yun-Mei],
Liu, H.C.[Hong-Cheng],
Ye, X.J.[Xiao-Jing],
Zhang, Q.C.[Qing-Chao],
Learnable Descent Algorithm for Nonsmooth Nonconvex Image
Reconstruction,
SIIMS(14), No. 4, 2021, pp. 1532-1564.
DOI Link
2112
BibRef
Pinetz, T.[Thomas],
Kobler, E.[Erich],
Pock, T.[Thomas],
Effland, A.[Alexander],
Shared Prior Learning of Energy-Based Models for Image Reconstruction,
SIIMS(14), No. 4, 2021, pp. 1706-1748.
DOI Link
2112
BibRef
Mei, R.[Ruru],
Wang, Z.G.[Zhu-Gang],
Hu, W.[Wanru],
Robust Blind Equalization Algorithm Using Convolutional Neural
Network,
SPLetters(29), 2022, pp. 1569-1573.
IEEE DOI
2208
Signal processing algorithms, Blind equalizers, Symbols,
Convolutional neural networks, Convolution, Training,
nonlinear effect
BibRef
Dong, J.Y.[Jing-Yi],
Lyu, W.T.[Wen-Tao],
Zhou, D.[Di],
Xu, W.Q.[Wei-Qiang],
Variational Bayesian and Generalized Approximate Message
Passing-Based Sparse Bayesian Learning Model for Image Reconstruction,
SPLetters(29), 2022, pp. 2328-2332.
IEEE DOI
2212
Bayes methods, Computational modeling, Mathematical models,
Estimation, Signal processing algorithms, Image reconstruction,
image reconstruction
BibRef
Dong, W.S.[Wei-Sheng],
Wu, J.J.[Jin-Jian],
Li, L.[Leida],
Shi, G.M.[Guang-Ming],
Li, X.[Xin],
Bayesian Deep Learning for Image Reconstruction:
From structured sparsity to uncertainty estimation,
SPMag(40), No. 1, January 2023, pp. 73-84.
IEEE DOI
2301
Deep learning, Uncertainty, Image coding, Computational modeling,
Imaging, Signal processing algorithms, Network architecture
BibRef
Mukherjee, S.[Subhadip],
Hauptmann, A.[Andreas],
Öktem, O.[Ozan],
Pereyra, M.[Marcelo],
Schönlieb, C.B.[Carola-Bibiane],
Learned Reconstruction Methods With Convergence Guarantees:
A survey of concepts and applications,
SPMag(40), No. 1, January 2023, pp. 164-182.
IEEE DOI
2301
Deep learning, Learning systems, Neural networks, Closed box,
Reconstruction algorithms, Image reconstruction, Reliability
BibRef
Chen, B.[Bin],
Song, J.C.[Jie-Chong],
Xie, J.F.[Jing-Fen],
Zhang, J.[Jian],
Deep Physics-Guided Unrolling Generalization for Compressed Sensing,
IJCV(131), No. 1, January 2023, pp. 2864-2887.
Springer DOI
2310
Combine model- and data-driven methods.
BibRef
Zhang, W.X.[Wen-Xu],
Cui, X.L.[Xin-Lei],
Zhao, Z.K.[Zhong-Kai],
Zhao, X.Q.[Xiao-Qi],
Sub-Nyquist Sampling and Gridless Frequency Estimation Based on
Channelization,
SPLetters(30), 2023, pp. 1492-1496.
IEEE DOI
2311
BibRef
Li, P.[Peng],
Hu, Y.[Yue],
Learned Tensor Low-CP-Rank and Bloch Response Manifold Priors for
Non-Cartesian MRF Reconstruction,
MedImg(42), No. 12, December 2023, pp. 3702-3714.
IEEE DOI
2312
BibRef
Guan, Y.[Yue],
Li, Y.[Yudu],
Liu, R.[Ruihao],
Meng, Z.Y.[Zi-Yu],
Li, Y.[Yao],
Ying, L.[Leslie],
Du, Y.P.P.[Yi-Ping P.],
Liang, Z.P.[Zhi-Pei],
Subspace Model-Assisted Deep Learning for Improved Image Reconstruction,
MedImg(42), No. 12, December 2023, pp. 3833-3846.
IEEE DOI
2312
BibRef
Kofler, A.[Andreas],
Altekruger, F.[Fabian],
Ba, F.A.[Fatima Antarou],
Kolbitsch, C.[Christoph],
Papoutsellis, E.[Evangelos],
Schote, D.[David],
Sirotenko, C.[Clemens],
Zimmermann, F.F.[Felix Frederik],
Papafitsoros, K.[Kostas],
Learning Regularization Parameter-Maps for Variational Image
Reconstruction Using Deep Neural Networks and Algorithm Unrolling,
SIIMS(16), No. 4, 2023, pp. 2202-2246.
DOI Link
2312
BibRef
Li, J.[Ji],
Wang, W.X.[Wei-Xi],
Ji, H.[Hui],
Self-Supervised Deep Learning for Image Reconstruction:
A Langevin Monte Carlo Approach,
SIIMS(16), No. 4, 2023, pp. 2247-2284.
DOI Link
2312
BibRef
Kong, X.Y.[Xiao-Yu],
Chen, Y.Y.[Yong-Yong],
He, Z.Y.[Zhen-Yu],
When Channel Correlation Meets Sparse Prior:
Keeping Interpretability in Image Compressive Sensing,
MultMed(26), 2024, pp. 2953-2965.
IEEE DOI
2402
Image reconstruction, Correlation, Transforms, Indexes,
Thresholding (Imaging), Optimization, Iterative algorithms,
sparse prior
BibRef
Zhong, Y.H.[Yuan-Hong],
Zhang, C.X.[Chen-Xu],
Yang, X.[Xun],
Wang, S.S.[Shan-Shan],
Video Compressed Sensing Reconstruction via an Untrained Network with
Low-Rank Regularization,
MultMed(26), 2024, pp. 4590-4601.
IEEE DOI
2403
Image reconstruction, Video sequences, Electronics packaging, Correlation,
Compressed sensing, Training, Loss measurement, Video compressed sensing
BibRef
Quan, Y.H.[Yu-Hui],
Qin, X.R.[Xin-Ran],
Pang, T.[Tongyao],
Ji, H.[Hui],
Siamese Cooperative Learning for Unsupervised Image Reconstruction
From Incomplete Measurements,
PAMI(46), No. 7, July 2024, pp. 4866-4879.
IEEE DOI
2406
Image reconstruction, Training, Noise measurement, Loss measurement,
Deep learning, Imaging, Task analysis, unsupervised learning
BibRef
Cao, J.[Jiahui],
Yang, Z.B.[Zhi-Bo],
Chen, X.F.[Xue-Feng],
Delay Coprime Sampling: A Simplified Sub-Nyquist Sampling for Noisy
Multi-Sinusoidal Signals,
SPLetters(31), 2024, pp. 1720-1724.
IEEE DOI
2407
Delays, Frequency estimation, Sensors, Noise measurement,
Spectral analysis, Signal processing algorithms, Autocorrelation,
sub-Nyquist sampling
BibRef
Kadambari, S.K.[Sai Kiran],
Chepuri, S.P.[Sundeep Prabhakar],
Unlabeled Signal Reconstruction on Product Graphs,
SPLetters(31), 2024, pp. 1995-1999.
IEEE DOI
2408
Motion pictures, Minimization, Symmetric matrices, Sensors,
Optimization, Laplace equations, Task analysis,
unlabeled sensing
BibRef
Yeo, W.H.[Woon-Ha],
Oh, W.T.[Wang-Taek],
Kang, K.S.[Kyung-Su],
Kim, Y.I.[Young-Il],
Ryu, H.C.[Han-Cheol],
CAIR: Fast and Lightweight Multi-scale Color Attention Network for
Instagram Filter Removal,
AIM22(714-728).
Springer DOI
2304
BibRef
Conde, M.V.[Marcos V.],
Timofte, R.[Radu],
Huang, Y.[Yibin],
Peng, J.Y.[Jing-Yang],
Chen, C.[Chang],
Li, C.[Cheng],
Pérez-Pellitero, E.[Eduardo],
Song, F.L.[Feng-Long],
Bai, F.[Furui],
Liu, S.[Shuai],
Feng, C.[Chaoyu],
Wang, X.T.[Xiao-Tao],
Lei, L.[Lei],
Zhu, Y.[Yu],
Li, C.H.[Cheng-Hua],
Jiang, Y.Y.[Ying-Ying],
Yong, A.,
Wang, P.S.[Pei-Song],
Leng, C.[Cong],
Cheng, J.[Jian],
Liu, X.Y.[Xiao-Yu],
Yin, Z.[Zhicun],
Zhang, Z.[Zhilu],
Li, J.[Junyi],
Liu, M.[Ming],
Zuo, W.M.[Wang-Meng],
Jiang, J.[Jun],
Kim, J.[Jinha],
Zhang, Y.[Yue],
Zou, B.[Beiji],
Zong, Z.[Zhikai],
Liu, X.X.[Xiao-Xiao],
Vega, J.M.[Juan Marín],
Sloth, M.[Michael],
Schneider-Kamp, P.[Peter],
Röttger, R.[Richard],
Kinli, F.[Furkan],
Özcan, B.[Baris],
Kiraç, F.[Furkan],
Leyi, L.[Li],
Uddin, S.M.N.[S. M. Nadim],
Ghosh, D.K.[Dipon Kumar],
Jung, Y.J.[Yong Ju],
Reversed Image Signal Processing and Raw Reconstruction. AIM 2022
Challenge Report,
AIM22(3-26).
Springer DOI
2304
BibRef
Kinli, F.[Furkan],
Mentes, S.[Sami],
Özcan, B.[Baris],
Kiraç, F.[Furkan],
Timofte, R.[Radu],
Zuo, Y.[Yi],
Wang, Z.[Zitao],
Zhang, X.W.[Xiao-Wen],
Zhu, Y.[Yu],
Li, C.H.[Cheng-Hua],
Leng, C.[Cong],
Cheng, J.[Jian],
Liu, S.[Shuai],
Feng, C.[Chaoyu],
Bai, F.[Furui],
Wang, X.T.[Xiao-Tao],
Lei, L.[Lei],
Ma, T.Z.[Tian-Zhi],
Gao, Z.[Zihan],
He, W.X.[Wen-Xin],
Yeo, W.H.[Woon-Ha],
Oh, W.T.[Wang-Taek],
Kim, Y.I.[Young-Il],
Ryu, H.C.[Han-Cheol],
He, G.[Gang],
Long, S.[Shaoyi],
Sharif, S.M.A.,
Naqvi, R.A.[Rizwan Ali],
Kim, S.J.[Sung-Jun],
Kim, G.[Guisik],
Lee, S.[Seohyeon],
Nathan, S.[Sabari],
Kansal, P.[Priya],
AIM 2022 Challenge on Instagram Filter Removal: Methods and Results,
AIM22(27-43).
Springer DOI
2304
BibRef
Wang, J.M.[Jia-Mian],
Zhang, Y.[Yulun],
Yuan, X.[Xin],
Meng, Z.Y.[Zi-Yi],
Tao, Z.Q.[Zhi-Qiang],
Modeling Mask Uncertainty in Hyperspectral Image Reconstruction,
ECCV22(XIX:112-129).
Springer DOI
2211
BibRef
Cannici, M.[Marco],
Ciccone, M.[Marco],
Romanoni, A.[Andrea],
Matteucci, M.[Matteo],
A Differentiable Recurrent Surface for Asynchronous Event-based Data,
ECCV20(XX:136-152).
Springer DOI
2011
Event sensors. Reconstruct into a frame.
BibRef
Wong, T.M.[Tak Ming],
Kahl, M.[Matthias],
Haring-Bolívar, P.[Peter],
Kolb, A.[Andreas],
Möller, M.[Michael],
Training Auto-Encoder-Based Optimizers for Terahertz Image
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GCPR19(93-106).
Springer DOI
1911
BibRef
da Silva, F.B.,
von Borries, R.,
Miosso, C.J.,
Golden Number Sampling Applied to Compressive Sensing,
Southwest18(1-4)
IEEE DOI
1809
Compressed sensing, Discrete Fourier transforms,
Signal to noise ratio, Sensors, Sparse matrices,
irregular sampling
BibRef
Szucs, J.[Judit],
Balázs, P.[Péter],
Binary Tomography Using Variants of Local Binary Patterns as Texture
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CAIP19(I:141-154).
Springer DOI
1909
BibRef
And:
An Improved Simulated Annealing Approach for Reconstructing Binary
Images with Fixed Number of Strips,
ICIAR19(I:174-185).
Springer DOI
1909
BibRef
Earlier: A2, A1:
Reconstruction of Binary Images with Fixed Number of Strips,
ICIAR18(11-19).
Springer DOI
1807
From row and column sums.
BibRef
Yarkony, E.,
Baryshnikov, Y.,
Bresler, Y.,
Range-space based identification of parametric linear systems,
IVMSP16(1-5)
IEEE DOI
1608
Blind equalizers
BibRef
Gopal, P.[Preeti],
Rajwade, A.[Ajit],
Chandran, S.[Sharat],
Svalbe, I.[Imants],
A Comparison of Some Methods for Direct 2D Reconstruction from Discrete
Projected Views,
DGCI16(117-128).
WWW Link.
1606
BibRef
Billionnet, A.[Alain],
Jarray, F.[Fethi],
Tlig, G.[Ghassen],
Zagrouba, E.[Ezzeddine],
Reconstruction of Bicolored Images,
IWCIA15(276-283).
Springer DOI
1601
from two-color horizontal and vertical projections
BibRef
Yashtini, M.[Maryam],
Kang, S.H.[Sung Ha],
Alternating Direction Method of Multiplier for Euler's Elastica-Based
Denoising,
SSVM15(690-701).
Springer DOI
1506
BibRef
Chen, C.[Chen],
Peng, Z.X.[Zhong-Xing],
Huang, J.Z.[Jun-Zhou],
O(1) Algorithms for Overlapping Group Sparsity,
ICPR14(1645-1650)
IEEE DOI
1412
Approximation algorithms
BibRef
Svalbe, I.D.[Imants D.],
Kingston, A.M.[Andrew M.],
Normand, N.[Nicolas],
Sarkissian, H.D.[Henri Der],
Back-Projection Filtration Inversion of Discrete Projections,
DGCI14(238-249).
Springer DOI
1410
BibRef
Sarkissian, H.D.[Henri Der],
Recur, B.[Benoit],
Normand, N.[Nicolas],
Guedon, J.[Jeanpierre],
Rotations in the Mojette space,
ICIP13(1187-1191)
IEEE DOI
1402
Geometry
BibRef
Svalbe, I.[Imants],
Kingston, A.[Andrew],
Guedon, J.[Jeanpierre],
Normand, N.[Nicolas],
Chandra, S.[Shekhar],
Direct inversion of Mojette projections,
ICIP13(1036-1040)
IEEE DOI
1402
Arrays
BibRef
Recur, B.[Benoit],
Sarkissian, H.D.[Henri Der],
Servieres, M.[Myriam],
Normand, N.[Nicolas],
Guedon, J.[Jeanpierre],
Validation of Mojette reconstruction from Radon acquisitions,
ICIP13(1041-1045)
IEEE DOI
1402
Geometry
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Pitchay, S.A.[Sakinah Ali],
Kaban, A.[Ata],
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Borkowski, D.[Dariusz],
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Code, Denoising.
See also Application of Backward Stochastic Differential Equations to Reconstruction of Vector-Valued Images.
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Borkowski, D.[Dariusz],
Euler's Approximations to Image Reconstruction,
ICCVG12(30-37).
Springer DOI
1210
BibRef
Borkowski, D.[Dariusz],
Janczak-Borkowska, K.[Katarzyna],
Random NL-Means to Restoration of Colour Images,
DICTA15(1-8)
IEEE DOI
1603
BibRef
And:
Application of Backward Stochastic Differential Equations to
Reconstruction of Vector-Valued Images,
ICCVG12(38-47).
Springer DOI
1210
image colour analysis
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Farmer, A.[Ashish],
Josan, A.[Awlok],
Prelee, M.A.[Matthew A.],
Neuhoff, D.L.[David L.],
Pappas, T.N.[Thrasyvoulos N.],
Cutset sampling and reconstruction of images,
ICIP11(1909-1912).
IEEE DOI
1201
BibRef
Verma, N.K.[Nishchal K.],
Pal, N.R.,
Prediction of satellite images using fuzzy rule based Gaussian
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AIPR10(1-8).
IEEE DOI
1010
See also Fuzzy rule based unsupervised approach for salient gene extraction.
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Shan, Q.[Qi],
Agarwal, S.[Sameer],
Curless, B.[Brian],
Refractive height fields from single and multiple images,
CVPR12(286-293).
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1208
BibRef
Shan, Q.[Qi],
Curless, B.[Brian],
Kohno, T.[Tadayoshi],
Seeing through Obscure Glass,
ECCV10(VI: 364-378).
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1009
Using small aperture or modeling the optical properties of the glass
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Hirakawa, K.[Keigo],
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0911
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Kong, H.H.[Hui-Hua],
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An Improved Ordered-Subset Simultaneous Algebraic Reconstruction
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CISP09(1-5).
IEEE DOI
0910
See also Convergence of the simultaneous algebraic reconstruction technique (SART).
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Masilamani, V.,
Krithivasan, K.[Kamala],
Subramanian, K.G.,
Huey, A.M.[Ang Miin],
Efficient Algorithms for Reconstruction of 2D-Arrays from Extended
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ISVC08(II: 1137-1146).
Springer DOI
0812
BibRef
Masilamani, V.[Vedhanayagam],
Krithivasan, K.[Kamala],
A Min-Cost-Max-Flow Based Algorithm for Reconstructing Binary Image
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IWCIA08(xx-yy).
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0804
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Candes, E.,
Romberg, J.,
Robust Signal Recovery from Incomplete Observations,
ICIP06(1281-1284).
IEEE DOI
0610
BibRef
La, C.[Chinh],
Do, M.N.,
Tree-Based Orthogonal Matching Pursuit Algorithm for Signal
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ICIP06(1277-1280).
IEEE DOI
0610
BibRef
Portilla, J.,
Gil-Rodrigo, E.,
Miraut, D.,
Suarez-Mesa, R.,
Condy: Ultra-fast high performance restoration using multi-frame
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ICIP11(1837-1840).
IEEE DOI
1201
BibRef
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ICIP11(1385-1388).
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1201
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Mancera, L.,
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L0-Norm-Based Sparse Representation Through Alternate Projections,
ICIP06(2089-2092).
IEEE DOI
0610
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Vik, T.,
Heitz, F.,
Charbonnier, P.,
Mean shift-based Bayesian image reconstruction into visual subspace,
ICIP03(I: 697-700).
IEEE DOI
0312
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Morikawa, K.,
Ogawa, K.,
Comparative Study on Statistical Image Reconstruction Combined with
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ICIP00(Vol II: 479-482).
IEEE DOI
0008
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Maruyama, M.[Minoru],
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Bidirectional Optimization for Reconstructing 3D shape from an Image
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ICIP99(III:120-124).
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BibRef
9900
Yun, G.,
Reeves, S.J.,
Efficient computation for sequential forward observation selection in
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ICIP98(III: 380-384).
IEEE DOI
9810
BibRef
Venkatesh, Y.V.,
Generalized Hermite polynomials for image reconstruction from zero
crossing contours,
ICIP98(III: 722-726).
IEEE DOI
9810
BibRef
Qu, Y.,
Kelly, P.,
Derin, H., and
Gong, W.B.,
Conditional Event Algebra Techniques for Iterated Image Estimation,
ICIP97(II: 219-222).
IEEE DOI
BibRef
9700
Wolberg, G.,
Nonuniform Image Reconstruction Using
Multilevel Surface Interpolation,
ICIP97(I: 909-912).
IEEE DOI
BibRef
9700
Wong, P., and
Herley, C.,
Area-Based Interpolation for Scaling of Images from a CCD,
ICIP97(I: 905-908).
IEEE DOI
BibRef
9700
Monro, D., and
Wakefield, P.,
Zooming with Implicit Fractals,
ICIP97(I: 913-916).
IEEE DOI
BibRef
9700
Matson, C.,
Resolution Limits for Band-Limited and
Positivity-Constrained 1-D Signals,
ICIP97(I: 921-924).
IEEE DOI
9710
BibRef
Tsuruta, N.,
Taniguchi, R.,
Amamiya, M.,
Image Reconstruction Using High Level Constraints,
ICPR96(IV: 401-405).
IEEE DOI
9608
(Kyushu Univ., J)
BibRef
Kasprzak, W.,
Cichocki, A.,
Hidden Image Separation from Incomplete Image Mixtures by
Independent Component Analysis,
ICPR96(II: 394-398).
IEEE DOI
9608
(RIKEN, Frontier Research, J)
BibRef
Bhumkar, B.[Bhaskar],
Vora, P.L.,
Chandna, B.,
Shankar, K.,
A Set Theoretic Approach to Image Reconstruction from Projections,
ICIP96(II: 737-740).
IEEE DOI
BibRef
9600
Venkataraman, S.,
Levy, B.C.,
Nonseparable orthogonal linear phase perfect reconstruction filter
banks and their application to image compression,
ICIP94(III: 334-338).
IEEE DOI
9411
BibRef
Musin, O.R.[Oleg R.],
Topographic structure of image,
CAIP93(24-30).
Springer DOI
9309
Represent as points and lines, reconstruct.
BibRef
Papademetriou, R.C.,
Reconstructing with moments,
ICPR92(III:476-480).
IEEE DOI
9208
BibRef
Dickson, J.W.,
A Step Towards Efficient Bayesian Signal Reconstruction,
BMVC92(xx-yy).
PDF File.
9209
BibRef
Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Reconstruction from Coded Images, Error Recovery .