5.3.3 Image Reconstruction

Chapter Contents (Back)
Restoration. Reconstruction.
See also Image Processing Books.
See also Neural Networks for Noise Removal, Denoising, Restoration.

Arp, F.,
Optimal Reconstruction of Information Content Inherent in Pictures bu Means of Television Scanning Procedures,
Optik(23), 1965/1966, pp. 83-87. BibRef 6500

Gordon, R., Herman, G.T.,
Reconstruction of Pictures from their Projections,
CACM(14), No. 12, December 1971, pp. 759-768. BibRef 7112

Gaarder, N.T., Herman, G.T.,
Algorithms for reproducing objects from their X-rays,
CGIP(1), No. 1, April 1972, pp. 97-106.
Elsevier DOI BibRef 7204

Herman, G.T.,
Two Direct Methods for Reconstructing Pictures from Their Projections,
CGIP(1), No. 2, August 1972, pp. 123-144.
Elsevier DOI BibRef 7208

Herman, G.T.[Gabor T.], Lent, A.[Arnold],
Quadratic optimization for image reconstruction, I,
CGIP(5), No. 3, September 1976, pp. 319-332.
Elsevier DOI 0501
BibRef

Artzy, E.A., Elfving, T., Herman, G.T.,
Quadratic Optimization for Image Reconstruction, II,
CGIP(11), No. 3, November 1979, pp. 242-261.
Elsevier DOI BibRef 7911

Wong, C.K., Yue, P.C.,
Reconstruction of Patterns by Block Projection,
IS(4), October 1972, pp. 357-366. BibRef 7210

Tasto, M.,
Reconstruction of random objects from noisy projections,
CGIP(6), No. 2, April 1977, pp. 103-122.
Elsevier DOI 0501
BibRef

Shliferstein, A.[Abe], Chien, Y.T.,
Switching components and the ambiguity problem in the reconstruction of pictures from their projections,
PR(10), No. 5-6, 1978, pp. 327-340.
Elsevier DOI 0309
BibRef

Gull, S.F., and Daniell, G.J.,
Image Reconstruction from Incomplete and Noisy Data,
Nature(272), April 1978, pp. 686-690. BibRef 7804

Mascarenhas, N.D.A., and Fernandes, L.F.V.,
New Methods for Picture Reconstruction: Recursive and Causal Techniques,
PAMI(2), No. 4, July 1980, pp. 369-376. BibRef 8007

Roytman, L.M., Swamy, M.N.S.,
Signal Reconstruction for the Output Magnitudes of Two-Dimensional Filters,
PIEEE(70), 1982, pp. 524-525. BibRef 8200

Park, S.K.[Stephen K.], Schowengerdt, R.A.[Robert A.],
Image Reconstruction by Parametric Cubic Convolution,
CVGIP(23), No. 3, September 1983, pp. 258-272.
Elsevier DOI BibRef 8309

Kekre, H.B., Sahasrabudhe, S.C., Goyal, N.C.,
Raised Cosine Function for Image Restoration,
SP(5), 1983, pp. 61-73. BibRef 8300

Kekre, H.B., Sahasrabudhe, S.C., Goyal, N.C.,
Restoration of Noisy Images Using a Raised Cosine Function Approximation,
CVGIP(26), No. 1, April 1984, pp. 17-29.
Elsevier DOI BibRef 8404

Merchant, G.A., Parks, T.W.,
Reconstruction of Signals from Phase: Efficient Algorithms, Segmnetations, and Generalizations,
ASSP(31), 1983, pp. 1135-1147. BibRef 8300

Canterakis, N.,
Magnitude-Only Reconstruction of Two-Dimensional Sequences with Finite Regions of Support,
ASSP(31), 1983, pp. 1256-1262. BibRef 8300

Hulthen, R.,
Restoring Causal Signals by Analytical Continuation: A Generalized Sampling Theorem for causal Signals,
ASSP(31), 1983, pp. 1294-1298. BibRef 8300

Datta, A.N., Bandyopadhyay, B.,
Nonlinear Extension to a Moment Method Iterative Reconstruction Algorithm for Microwave Tomography,
PIEEE(74), 1986, pp. 604-606. BibRef 8600

van Gronigen, W.D.H., Vermeij, G.F., Bosman, D., Traas, C.R.,
Geometric Reconstruction of Buried Heat Sources from a Surface Thermogram,
PAMI(7), No. 4, September 1985, pp. 610-616. BibRef 8509

Boult, T.E.[Terrance E.], Wolberg, G.[George],
Local Image Reconstruction and Subpixel Restoration Algorithms,
GMIP(55), No. 1, January 1993, pp. 63-yy. BibRef 9301

Shih, F.Y., Wong, W.T.,
Reconstruction of Binary and Gray-Scale Images from Mid-Crack Code Descriptions,
JVCIR(4), 1993, pp. 121-129. BibRef 9300
Earlier:
Restoration of binary and gray-scale images using the contour mid-crack codes description,
ICPR92(III:725-728).
IEEE DOI 9208
BibRef

Puetter, R.C.,
Pixon-Based Multiresolution Image-Reconstruction and the Quantification of Picture Information-Content,
IJIST(6), No. 4, Winter 1995, pp. 314-331. BibRef 9500

Matej, S., Furuie, S.S., Herman, G.T.,
Relevance of Statistically Significant Differences Between Reconstruction Algorithms,
IP(5), No. 3, March 1996, pp. 554-556.
IEEE DOI BibRef 9603

Rotem, D., Zeevi, Y.Y.,
Image Reconstruction from Zero Crossings,
ASSP(34), 1986, pp. 1269-1277. BibRef 8600

Clark, J.J., Lawrence, P.D.,
Analysis of the Error in the Reconstruction of N-Dimensional Stochastic Processes,
ASSP(34), 1986, pp. 1326-1329. BibRef 8600

Sayegh, S.I., Saleh, B.E.A., Nashold, K.M.,
Image Design: Generation of a Prescribed Image Through a Diffraction-Limited System with High-Contrast Recording,
ASSP(33), 1985, pp. 460-465. BibRef 8500

Sayegh, S.I., and Saleh, B.E.A.,
Image Design: Generation of a Prescribed Image at the Output of a Band-Limited System,
PAMI(5), No. 4, July 1983, pp. 441-445. BibRef 8307

Sayegh, S.I., Kok, Y.L., Hong, J.H.,
An Algorithm to Find Two-Dimensional Signals with Specified Zero-Crossings,
ASSP(35), 1987, pp. 107-111. BibRef 8700

Curtis, S.R., Shitz, S., Oppenheim, A.V.,
Reconstruction of Nonperiodic Two-Dimensional Signals from Zero Crossings,
ASSP(35), 1987, pp. 890-893. BibRef 8700

Zakhor, A., Oppenheim, A.V.,
Reconstruction of Two-Dimensional Signals from Level Crossings,
PIEEE(78), 1990, pp. 31-55. BibRef 9000

Combettes, P.L.,
Signal recovery by best feasible approximation,
IP(2), No. 2, April 1993, pp. 269-271.
IEEE DOI 0402
BibRef

Combettes, P.L.,
Constrained image recovery in a product space,
ICIP95(II: 25-28).
IEEE DOI 9510
BibRef

Matson, C.L., Fox, M., Hege, E.K., Hluck, L., Drummond, J., Harvey, D.,
Deep-Space Satellite-Image Reconstructions from Field Data by Use of Speckle Imaging Techniques: Images and Functional Assessment,
AppOpt(36), No. 14, May 10 1997, pp. 3120-3126. 9706
BibRef

Matson, C.L.[Charles L.], Fox, M., Hege, E.K.[E. Keith], Hluck, L., Drummond, J., Harvey, D.,
Optimal Speckle Imaging of Extended Space Objects: Results from Field Data,
ICIP96(III: 105-108).
IEEE DOI BibRef 9600

Byrne, C.L.,
Block-iterative methods for image reconstruction from projections,
IP(5), No. 5, May 1996, pp. 792-794.
IEEE DOI 0402
BibRef

Byrne, C.L.,
Accelerating the EMML Algorithm and Related Iterative Algorithms by Rescaled Block-Iterative Methods,
IP(7), No. 1, January 1998, pp. 100-109.
IEEE DOI 9801
BibRef

Byrne, C.L.,
Convergent Block-Iterative Algorithms for Image-Reconstruction from Inconsistent Data,
IP(6), No. 9, September 1997, pp. 1296-1304.
IEEE DOI 9709
BibRef

Byrne, C.L.,
Choosing Parameters in Block-Iterative or Ordered Subset Reconstruction Algorithms,
IP(14), No. 3, March 2005, pp. 321-327.
IEEE DOI 0501
BibRef

Barcucci, E., Dellungo, A., Nivat, M., Pinzani, R.,
Medians of Polyominoes: A Property for Reconstruction,
IJIST(9), No. 2-3, 1998, pp. 69-77. 9805
BibRef

Urieli, S., Porat, M., Cohen, N.,
Optimal Reconstruction of Images from Localized Phase,
IP(7), No. 6, June 1998, pp. 838-853.
IEEE DOI 9806
BibRef

Shapiro, Y., Porat, M.,
Image representation by spectral amplitude: Conditions for Uniqueness and Optimal Reconstruction,
ICIP98(III: 707-711).
IEEE DOI 9810
BibRef

Wang, Y.M.[Yuan-Mei], Heng, P.A.[Pheng Ann], Wahl, F.M.[Friedrich M.],
Image reconstructions from two orthogonal projections,
IJIST(13), No. 2, 2003, pp. 141-145.
WWW Link. 0308
BibRef

Flusser, J., Suk, T.,
Degraded Image-Analysis: An Invariant Approach,
PAMI(20), No. 6, June 1998, pp. 590-603.
IEEE DOI 9807
BibRef
Earlier:
Invariants for Recognition of Degraded 1-D Digital Signals,
ICPR96(II: 389-393).
IEEE DOI 9608
(Academy of Sciences, CZ) BibRef

Nie, J.H., Lee, T.H.,
Reconstructing Binary Signals by Rule-Based Fuzzy Equalizer with Self-Organizing Capability,
JIFS(5), No. 4, 1997, pp. 313-322. 9809
BibRef

Knipe, J., Li, X.B.,
On the Reconstruction of Quadtree Data,
IP(7), No. 12, December 1998, pp. 1653-1660.
IEEE DOI 9812
BibRef
Earlier:
A New Quadtree Decomposition Reconstruction Method,
ICPR96(II: 364-369).
IEEE DOI 9608
(Univ. of Alberta, CDN) BibRef

Foltz, T.M., Welsh, B.M.,
Image reconstruction using symmetric convolution and discrete trigonometric transforms,
JOSA-A(15), No. 11, November 1998, pp. 2827-2840. BibRef 9811

Foltz, T.M., Welsh, B.M.,
Symmetric Convolution of Asymmetric Multidimensional Sequences Using Discrete Trigonometric Transforms,
IP(8), No. 5, May 1999, pp. 640-651.
IEEE DOI BibRef 9905

Berizzi, F., Corsini, G.,
New Fast Method for the Reconstruction of 2-D Microwave Images of Rotating Objects,
IP(8), No. 5, May 1999, pp. 679-687.
IEEE DOI BibRef 9905

Wang, Y., Lu, W.,
Multiobjective optimization approach to image reconstruction from projections,
SP(26), No. 1, 1992, pp. 17-26. BibRef 9200

Gao, X.[Xin], Wang, Y.M.[Yuan-Mei], Zhang, C.[Cishen],
Fuzzy Vector Objective Optimization Algorithm For Image Reconstruction From Incomplete Projections,
IJIG(7), No. 1, January 2007, pp. 55-69. 0701
BibRef

Song, L., Zhang, S.,
Singular Value Decomposition-Based Reconstruction Algorithm for Seismic Traveltime Tomography,
IP(8), No. 8, August 1999, pp. 1152-1154.
IEEE DOI BibRef 9908

Carey, W.K., Chuang, D.B., Hemami, S.S.,
Regularity-Preserving Image Interpolation,
IP(8), No. 9, September 1999, pp. 1293-1297.
IEEE DOI BibRef 9909
Earlier: ICIP97(I: 901-904).
IEEE DOI BibRef

Kazantsev, I.G., Pickalov, V.V.,
On the accuracy of line-, strip- and fan-based algebraic reconstruction from few projections,
SP(78), No. 1, October 1999, pp. 117-126. BibRef 9910

Liu, L.[Li], Wang, Y.M.[Yuan-Mei],
A direct reconstruction method with variable constraints,
IJIST(10), No. 5, 1999, pp. 379-384. 0001
BibRef

Paez, G.[Gonzalo], Strojnik, M.[Marija],
Phase reconstruction from undersampled intensity patterns,
JOSA-A(17), No. 1, January 2000, pp. 46-52. 0002
BibRef

Abeyratne, U.R.,
Blind reconstruction of non-minimum-phase systems from 1-D oblique slices of the bispectrum,
VISP(146), No. 5, October 1999, pp. 253-264. 0002
BibRef

Fusiello, A.,
Uncalibrated Euclidean reconstruction: a review,
IVC(18), No. 6-7, 1 May 2000, pp. 555-563.
Elsevier DOI 0003
BibRef

Gonzalez-Castano, F.J., Garcia-Palomares, U.M., Alba-Castro, J.L., Pousada-Carballo, J.M.,
Fast image recovery using dynamic load balancing in parallel architectures, by means of incomplete projections,
IP(10), No. 4, April 2001, pp. 493-499.
IEEE DOI 0104
BibRef

Yu, L.F.[Ling-Feng], Cai, L.L.[Li-Long],
Iterative algorithm with a constraint condition for numerical reconstruction of a three-dimensional object from its hologram,
JOSA-A(18), No. 5, May 2001, pp. 1033-1045.
DOI Link 0105
BibRef

Bones, P.J.[Philip J.], Alwesh, N.S.[Nawar S.], Connolly, T.J.[T. John], Blakeley, N.D.[Nicholas D.],
Recovery of limited-extent images aliased because of spectral undersampling,
JOSA-A(18), No. 9, September 2001, pp. 2079-2088.
DOI Link 0109
BibRef

Bones, P.J., Blakeley, N.D., Millane, R.,
Image Recovery from Irregularly Located Spectral Samples,
ICIP01(I: 217-220).
IEEE DOI 0108
BibRef

Eppstein, M.J., Dougherty, D.E., Hawrysz, D.J., Sevick-Muraca, E.M.,
Three-dimensional Bayesian optical image reconstruction with domain decomposition,
MedImg(20), No. 3, March 2001, pp. 147-163.
IEEE Top Reference. 0110
BibRef

Holmes, R.B., Hughes, K., Fairchild, P., Spivey, B., Smith, A.,
Description and simulation of an active imaging technique utilizing two speckle fields: root reconstructors,
JOSA-A(19), No. 3, March 2002, pp. 444-457.
DOI Link 0204
BibRef

Holmes, R.B., Hughes, K., Fairchild, P., Spivey, B., Smith, A.,
Description and simulation of an active imaging technique utilizing two speckle fields: iterative reconstructors,
JOSA-A(19), No. 3, March 2002, pp. 458-471.
DOI Link 0204
BibRef

Wear, K.A., Myers, K.J., Rajan, S.S., Grossman, L.W.,
Constrained reconstruction applied to 2-D chemical shift imaging,
MedImg(16), No. 5, October 1997, pp. 591-597.
IEEE Top Reference. 0205
BibRef

Jiang, M.[Ming], Wang, G.[Ge],
Convergence studies on iterative algorithms for image reconstruction,
MedImg(22), No. 5, May 2003, pp. 569-579.
IEEE Abstract. 0307
BibRef

Jiang, M.[Ming], Wang, G.[Ge],
Convergence of the simultaneous algebraic reconstruction technique (SART),
IP(12), No. 8, August 2003, pp. 957-961.
IEEE DOI 0308
BibRef

Grigoryan, A.M.[Artyom M.],
Method of paired transforms for reconstruction of images from projections: discrete model,
IP(12), No. 9, September 2003, pp. 985-994.
IEEE DOI 0308
BibRef

Grigoryan, A.M.[Artyom M.],
Image Reconstruction From Finite Number of Projections: Method of Transferring Geometry,
IP(22), No. 12, 2013, pp. 4738-4751.
IEEE DOI 1312
Radon transforms BibRef

Grigoryan, A.M.[Artyom M.], Naghdali, K.[Khalil],
On a Method of Paired Representation: Enhancement and Decomposition by Series Direction Images,
JMIV(34), No. 2, June 2009, pp. xx-yy.
Springer DOI 0906
BibRef

Grigoryan, A.M.[Artyom M.], Du, N.[Nan],
Principle of Superposition by Direction Images,
IP(20), No. 9, September 2011, pp. 2531-2541.
IEEE DOI 1109
BibRef

Dursun, S.[Serkan], Du, N.[Nan], Grigoryan, A.M.[Artyom M.],
Paired Transform Slice Theorem of 2-D Image Reconstruction from Projections,
ICPR10(2395-2398).
IEEE DOI 1008
BibRef

Toraichi, K.[Kazuo], Yang, S.[Sai], Kamada, M.[Masaru], Mori, R.[Ryoichi],
Two-dimensional spline interpolation for image reconstruction,
PR(21), No. 3, 1988, pp. 275-284.
Elsevier DOI 0309
BibRef

Attux, R.R.F., Romano, J.M.T.,
Chaotic phenomena in adaptive blind equalisers,
VISP(150), No. 6, December 2003, pp. 360-364.
IEEE Abstract. 0402
BibRef

Vazquez, C., Dubois, E., Konrad, J.,
Reconstruction of Nonuniformly Sampled Images in Spline Spaces,
IP(14), No. 6, June 2005, pp. 713-725.
IEEE DOI 0505
BibRef
Earlier:
Reconstruction of irregularly-sampled images by regularization in spline spaces,
ICIP02(III: 405-408).
IEEE DOI 0210
BibRef

Slasinski, R., Konrad, J.,
Linear shift-variant filtering for POCS reconstruction of irregularly sampled images,
ICIP03(III: 689-692).
IEEE DOI 0312
BibRef

Vazquez, C., Konrad, J.,
Wavelet-based Reconstruction of Irregularly-sampled Images: Application to Stereo Imaging,
ICIP00(Vol II: 319-322).
IEEE DOI 0008
BibRef

Tsuda, K., Ratsch, G.,
Image Reconstruction by Linear Programming,
IP(14), No. 6, June 2005, pp. 737-744.
IEEE DOI 0505
BibRef

Shen, X., Shi, X.,
Online blind equalisation algorithm of an FIR MIMO channel system for non-stationary signals,
VISP(152), No. 5, October 2005, pp. 575-581.
DOI Link 0512
BibRef

Demaret, L., Iske, A.,
Adaptive Image Approximation by Linear Splines Over Locally Optimal Delaunay Triangulations,
SPLetters(13), No. 5, May 2006, pp. 281-284.
IEEE DOI 0605
Triangulations to improve reconstruction. BibRef

Janssen, B.J.[Bart J.], Kanters, F.M.W.[Frans M.W.], Duits, R.[Remco], Florack, L.M.J.[Luc M.J.], ter Haar Romeny, B.M.[Bart M.],
A Linear Image Reconstruction Framework Based on Sobolev Type Inner Products,
IJCV(70), No. 3, December 2006, pp. 231-240.
Springer DOI 0608
BibRef
Earlier: ScaleSpace05(85-96).
Springer DOI 0505
BibRef

Janssen, B.J.[Bart J.], Duits, R.[Remco], Florack, L.M.J.[Luc M.J.],
Coarse-to-Fine Image Reconstruction Based on Weighted Differential Features and Background Gauge Fields,
SSVM09(377-388).
Springer DOI 0906
BibRef

Janssen, B.J.[Bart J.], Duits, R.[Remco],
Linear Image Reconstruction by Sobolev Norms on the Bounded Domain,
IJCV(84), No. 2, August 2009, pp. xx-yy.
Springer DOI 0906
BibRef

Janssen, B.J.[Bart J.], Duits, R.[Remco], ter Haar Romeny, B.M.[Bart M.],
Linear Image Reconstruction by Sobolev Norms on the Bounded Domain,
SSVM07(55-67).
Springer DOI 0705
BibRef

Duits, R.[Remco], Felsberg, M.[Michael], Granlund, G.H.[Gösta H.], ter Haar Romeny, B.M.[Bart M.],
Image Analysis and Reconstruction using a Wavelet Transform Constructed from a Reducible Representation of the Euclidean Motion Group,
IJCV(72), No. 1, April 2007, pp. 79-102.
Springer DOI 0001
BibRef

Kanters, F.M.W.[Frans M.W.], Lillholm, M.[Martin], Duits, R.[Remco], Janssen, B.J.[Bart J.], Platel, B.[Bram], Florack, L.M.J.[Luc M.J.], ter Haar Romeny, B.M.[Bart M.],
On Image Reconstruction from Multiscale Top Points,
ScaleSpace05(431-442).
Springer DOI 0505
BibRef

Kanters, F.M.W.[Frans M.W.], Florack, L.M.J.[Luc M.J.], Platel, B.[Bram], ter Haar Romeny, B.M.[Bart M.],
Image Reconstruction from Multiscale Critical Points,
ScaleSpace03(464-478).
Springer DOI 0310
BibRef

Bayraktar, B.[Bulent], Bernas, T.[Tytus], Robinson, J.P.[J. Paul], Rajwa, B.[Bartek],
A numerical recipe for accurate image reconstruction from discrete orthogonal moments,
PR(40), No. 2, February 2007, pp. 659-669.
Elsevier DOI 0611
Discrete moment; Orthogonal moment; Tchebichef moment; Krawtchouk moment; Reconstruction; Universal image quality index; Arbitrary precision arithmetic BibRef

Wang, J.[Jiong], Zheng, Y.B.[Yi-Bin],
On the Convergence of Generalized Simultaneous Iterative Reconstruction Algorithms,
IP(16), No. 1, January 2007, pp. 1-6.
IEEE DOI 0701
BibRef
Earlier:
Simultaneous Block Iterative Reconstruction with Pre- and Post- Backprojection Filters,
ICIP06(909-912).
IEEE DOI 0610
A simpler proof than Jiang and Wang (
See also Convergence of the simultaneous algebraic reconstruction technique (SART). ) and covers a broader range. BibRef

Rovetta, S.[Stefano], Masulli, F.[Francesco],
Vector quantization and fuzzy ranks for image reconstruction,
IVC(25), No. 2, February 2007, pp. 204-213.
Elsevier DOI 0701
Vector quantization; Neural Gas; Fuzzy ranks BibRef

Nikolova, M.[Mila], Chan, R.H.,
The Equivalence of Half-Quadratic Minimization and the Gradient Linearization Iteration,
IP(16), No. 6, June 2007, pp. 1623-1627.
IEEE DOI 0706
BibRef

Nikolova, M.[Mila], Ng, M.P.,
Fast Image Reconstruction Algorithms Combining Half-quadratic Regularization and Preconditioning,
ICIP01(I: 277-280).
IEEE DOI 0108
BibRef

Kesidis, A.L., Papamarkos, N.,
Exact image reconstruction from a limited number of projections,
JVCIR(19), No. 5, July 2008, pp. 285-298.
Elsevier DOI 0804
Image reconstruction; Algebraic reconstruction; Inverse problems; Image projections; Radon transform; Accumulator array; Fourier slice; Back projection BibRef

Qu, G., Wang, C., Jiang, M.,
Necessary and Sufficient Convergence Conditions for Algebraic Image Reconstruction Algorithms,
IP(18), No. 2, February 2009, pp. 435-440.
IEEE DOI 0901
BibRef

Zhai, C.X.[Cheng-Xing],
Highly accurate reconstruction algorithm for bandwidth-limited signals and application to fringe signal recovery,
JOSA-A(26), No. 1, January 2009, pp. 43-58.
DOI Link 0804
BibRef

Abrar, S., Nandi, A.K.,
An Adaptive Constant Modulus Blind Equalization Algorithm and Its Stochastic Stability Analysis,
SPLetters(17), No. 1, January 2010, pp. 55-58.
IEEE DOI 0911
BibRef

Faille, F.[Flore], Petrou, M.[Maria],
Invariant image reconstruction from irregular samples and hexagonal grid splines,
IVC(28), No. 8, August 2010, pp. August 2010, 1173-1183.
Elsevier DOI 1006
BibRef
Earlier:
Bio-inspired, Invariant Image Reconstruction from Irregularly Placed Samples,
BMVC08(xx-yy).
PDF File. 0809
Image compression; Hexagonal grids; Image reconstruction; Hexagonal splines; Nonuniform sampling; Bio-inspired approaches BibRef

Faille, F.[Flore], Petrou, M.[Maria],
Derivative-based imaging,
IVC(28), No. 9, September 2010, pp. 1396-1412.
Elsevier DOI 1007
Image reconstruction; Hexagonal grids; Bio-inspired vision; Derivative sensors BibRef

Broughton, R.L., Coope, I.D., Renaud, P.F., Tappenden, R.E.H.,
Determinant and Exchange Algorithms for Observation Subset Selection,
IP(19), No. 9, September 2010, pp. 2437-2443.
IEEE DOI 1008
Limited observation time sensing. BibRef

Law, K.L.[Ka Lung], Do, M.N.,
Multidimensional Filter Bank Signal Reconstruction From Multichannel Acquisition,
IP(20), No. 2, February 2011, pp. 317-326.
IEEE DOI 1102
BibRef

Montefusco, L.B., Lazzaro, D., Papi, S.,
Fast Sparse Image Reconstruction Using Adaptive Nonlinear Filtering,
IP(20), No. 2, February 2011, pp. 534-544.
IEEE DOI 1102
BibRef

Montefusco, L.B., Lazzaro, D.,
An Iterative L_1 -Based Image Restoration Algorithm With an Adaptive Parameter Estimation,
IP(21), No. 4, April 2012, pp. 1676-1686.
IEEE DOI 1204
BibRef

Patel, V.M., Maleh, R., Gilbert, A.C., Chellappa, R.,
Gradient-Based Image Recovery Methods From Incomplete Fourier Measurements,
IP(21), No. 1, January 2012, pp. 94-105.
IEEE DOI 1112
BibRef

Maleh, R., Gilbert, A.C., 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


Liang, Z.[Ziwen], Yang, C.L.[Chun-Ling],
Feature-Domain Proximal High-Dimensional Gradient Descent Network for Image Compressed Sensing,
ICIP23(1475-1479)
IEEE DOI 2312
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 Reconstruction,
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 Priors,
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 BibRef

Pitchay, S.A.[Sakinah Ali], Kaban, A.[Ata],
Multi-task signal recovery by higher level hyper-parameter sharing,
ICPR12(2246-2249).
WWW Link. 1302
BibRef

Borkowski, D.[Dariusz],
Implementation of Image Denoising based on Backward Stochastic Differential Equations,
IPOL(13), 2023, pp. 321-349.
DOI Link 2312
Code, Denoising.
See also Application of Backward Stochastic Differential Equations to Reconstruction of Vector-Valued Images. BibRef

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 BibRef

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 regression,
AIPR10(1-8).
IEEE DOI 1010

See also Fuzzy rule based unsupervised approach for salient gene extraction. BibRef

Shan, Q.[Qi], Agarwal, S.[Sameer], Curless, B.[Brian],
Refractive height fields from single and multiple images,
CVPR12(286-293).
IEEE DOI 1208
BibRef

Shan, Q.[Qi], Curless, B.[Brian], Kohno, T.[Tadayoshi],
Seeing through Obscure Glass,
ECCV10(VI: 364-378).
Springer DOI 1009
Using small aperture or modeling the optical properties of the glass and reconstruct the real image. BibRef

Hirakawa, K.[Keigo], Wolfe, P.J.[Patrick J.],
Efficient multivariate Skellam shrinkage for denoising photon-limited image data: An Empirical Bayes approach,
ICIP09(2961-2964).
IEEE DOI 0911
BibRef

Kong, H.H.[Hui-Hua], Pan, J.X.[Jin-Xiao],
An Improved Ordered-Subset Simultaneous Algebraic Reconstruction Technique,
CISP09(1-5).
IEEE DOI 0910

See also Convergence of the simultaneous algebraic reconstruction technique (SART). BibRef

Masilamani, V., Krithivasan, K.[Kamala], Subramanian, K.G., Huey, A.M.[Ang Miin],
Efficient Algorithms for Reconstruction of 2D-Arrays from Extended Parikh Images,
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 from Two Projections Using Similar Images,
IWCIA08(xx-yy).
Springer DOI 0804
BibRef

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 Reconstruction,
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 L2-relaxed-L0 sparsity and constrained dynamic heuristics,
ICIP11(1837-1840).
IEEE DOI 1201
BibRef

Gil-Rodrigo, E., Portilla, J., Miraut, D., Suarez-Mesa, R.,
Efficient joint poisson-gauss restoration using multi-frame L2-relaxed-L0 analysis-based sparsity,
ICIP11(1385-1388).
IEEE DOI 1201
BibRef

Mancera, L., Portilla, J.,
L0-Norm-Based Sparse Representation Through Alternate Projections,
ICIP06(2089-2092).
IEEE DOI 0610
BibRef

Vik, T., Heitz, F., Charbonnier, P.,
Mean shift-based Bayesian image reconstruction into visual subspace,
ICIP03(I: 697-700).
IEEE DOI 0312
BibRef

Morikawa, K., Ogawa, K.,
Comparative Study on Statistical Image Reconstruction Combined with Modification of the Number of Projections,
ICIP00(Vol II: 479-482).
IEEE DOI 0008
BibRef

Maruyama, M.[Minoru], Kurumi, S.[Satoshi],
Bidirectional Optimization for Reconstructing 3D shape from an Image Sequence with Missing Data,
ICIP99(III:120-124).
IEEE DOI BibRef 9900

Yun, G., Reeves, S.J.,
Efficient computation for sequential forward observation selection in image reconstruction,
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 .


Last update:Oct 22, 2024 at 22:09:59