Content Gazette - February 2018 - 21

A Bayesian Hyperprior Approach for Joint Image Denoising and Interpolation, With an Application to HDR Imaging
http://dx.doi.org/10.1109/TCI.2017.2704439 . . . . . . . . . . . . . . . . . . . . . . . C. Aguerrebere, A. Almansa, J. Delon, Y. Gousseau, and P. Mus´
e
Data-Driven Models for the Spatio-Temporal Interpolation of Satellite-Derived SST Fields http://dx.doi.org/10.1109/TCI.2017.2749184
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . R. Fablet, P. H. Viet, and R. Lguensat
Robust Spectral Unmixing of Sparse Multispectral Lidar Waveforms Using Gamma Markov Random Fields
http://dx.doi.org/10.1109/TCI.2017.2703144 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . Y. Altmann, A. Maccarone, A. McCarthy, G. Newstadt, G. S. Buller, S. McLaughlin, and A. Hero
Direct Image Reconstruction of Lissajous-Type Magnetic Particle Imaging Data Using Chebyshev-Based Matrix
Compression http://dx.doi.org/10.1109/TCI.2017.2706058 . . . . . . . . . . . . . . . . . . . . . . . . . . L. Schmiester, M. M¨oddel, W. Erb, and T. Knopp
Computational Image Formation
A Novel Tomographic Reconstruction Method Based on the Robust Student's t Function For Suppressing Data Outliers
http://dx.doi.org/10.1109/TCI.2017.2694607 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . D. Kazantsev, F. Bleichrodt, T. van Leeuwen, A. Kaestner, P. J. Withers, K. J. Batenburg, and P. D. Lee
Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) and Its Application to Inverse Problems
http://dx.doi.org/10.1109/TCI.2017.2697206 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . S. Ravishankar, R. R. Nadakuditi, and J. A. Fessler
Acoustic Wave Field Reconstruction From Compressed Measurements With Application in Photoacoustic
Tomography http://dx.doi.org/10.1109/TCI.2017.2706029 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . M. M. Betcke, B. T. Cox, N. Huynh, E. Z. Zhang, P. C. Beard, and S. R. Arridge
A Variational Bayesian Approach for Image Restoration-Application to Image Deblurring With Poisson-Gaussian
Noise http://dx.doi.org/10.1109/TCI.2017.2700203 . . . . . . . . . . . . . . . . . . . . . . . . Y. Marnissi, Y. Zheng, E. Chouzenoux, and J.-C. Pesquet
Object-Based High Contrast Traveltime Tomography http://dx.doi.org/10.1109/TCI.2017.2726353 . . . . . . . . . . . . . . . . . Y. Lin and A. Ortega
Video Superresolution via Motion Compensation and Deep Residual Learning http://dx.doi.org/10.1109/TCI.2017.2671360 . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . D. Li and Z. Wang
Super-Resolution Image Reconstruction for High-Density Three-Dimensional Single-Molecule Microscopy
http://dx.doi.org/10.1109/TCI.2017.2699425 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . J. Huang, M. Sun, J. Ma, and Y. Chi
Breast Ultrasound Elastography Using Full Inversion-Based Elastic Modulus Reconstruction http://dx.doi.org/10.1109/TCI.2017.2741422
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . S. Reza Mousavi, H. Rivaz, A. Sadeghi-Naini, G. J. Czarnota, and A. Samani
Mixture of Gaussian Blur Kernel Representation for Blind Image Restoration http://dx.doi.org/10.1109/TCI.2017.2706062 . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . C.-C. Lee and W.-L. Hwang
Computational Imaging Systems
A Unifying First-Order Model for Light-Field Cameras: The Equivalent Camera Array http://dx.doi.org/10.1109/TCI.2017.2699427 . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . L. Mignard-Debise, J. Restrepo, and I. Ihrke
An Image Rendering Pipeline for Focused Plenoptic Cameras http://dx.doi.org/10.1109/TCI.2017.2710906 . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . M. Hog, N. Sabater, B. Vandame, and V. Drazic
Domain Adaptation for Robust Classification of Disparate Hyperspectral Images http://dx.doi.org/10.1109/TCI.2017.2752150 . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . X. Zhou and S. Prasad
Estimating Reflectance Parameters, Light Direction, and Shape From a Single Multispectral Image
http://dx.doi.org/10.1109/TCI.2017.2717788 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . S. Rahman and A. Robles-Kelly
Inversion of the Attenuated V-Line Transform With Vertices on the Circle http://dx.doi.org/10.1109/TCI.2017.2669868 . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . M. Haltmeier, S. Moon, and D. Schiefeneder
Evaluation of Balanced Ultrasound Breast Imaging Under Three Density Profile Assumptions http://dx.doi.org/10.1109/TCI.2017.2678280
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . P. Mojabi and J. LoVetri
A Model-Based Iterative Reconstruction Approach to Tunable Diode Laser Absorption Tomography
http://dx.doi.org/10.1109/TCI.2017.2690143 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Z. Nadir, M. S. Brown, M. L. Comer, and C. A. Bouman
A Frequency-Dependent Regularization for Autocalibrating Parallel MRI Using the Generalized Discrepancy Principle
http://dx.doi.org/10.1109/TCI.2017.2707979 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . R. S. Mathew and J. S. Paul
Synthetic Aperature LADAR: A Model-Based Approach http://dx.doi.org/10.1109/TCI.2017.2663320 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . C. J. Pellizzari, R. Trahan, H. Zhou, S. Williams, S. E. Williams, B. Nemati, M. Shao, and C. A. Bouman
Reconstruction Capabilities of Down-Looking Airborne GPRs: The Single Frequency Case http://dx.doi.org/10.1109/TCI.2017.2669865 .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . G. Gennarelli, I. Catapano, and F. Soldovieri
Cancer Detection in Highly Dense Breasts Using Coherently Focused Time-Reversal Microwave Imaging
http://dx.doi.org/10.1109/TCI.2017.2737947 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Md. D. Hossain and A. S. Mohan
Enhanced ISAR Imaging and Motion Estimation With Parametric and Dynamic Sparse Bayesian Learning
http://dx.doi.org/10.1109/TCI.2017.2750330 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . G. Xu, L. Yang, G. Bi, and M. Xing
An Analysis of the Assumptions Inherent to Near-Field Beamforming for Biomedical Applications
http://dx.doi.org/10.1109/TCI.2017.2756022 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . C. Curtis, B. R. Lavoie, and E. Fear

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Table of Contents for the Digital Edition of Content Gazette - February 2018
