Content Gazette - April 2012 - 6

(Contents Continued from Front Cover)
Image Registration Under Illumination Variations Using Region-Based Confidence Weighted -Estimators . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . M. M. Fouad, R. M. Dansereau, and A. D. Whitehead
Robust Soft-Decision Interpolation Using Weighted Least Squares . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . K.-W. Hung and W.-C. Siu
Formation and Reconstruction
Image Reduction Using Means on Discrete Product Lattices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . G. Beliakov, H. Bustince, and D. Paternain
This is SPIRAL-TAP: Sparse Poisson Intensity Reconstruction ALgorithms-Theory and Practice . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Z. T. Harmany, R. F. Marcia, and R. M. Willett
A Coding-Cost Framework for Super-Resolution Motion Layer Decomposition . . . . . . . . . . . . . . . . . . . . . T. Schoenemann and D. Cremers

1046
1061
1070
1084
1097

Error Resilience and Channel Coding for Image and Video Systems
Concatenated Block Codes for Unequal Error Protection of Embedded Bit Streams . . . S. S. Arslan, P. C. Cosman, and L. B. Milstein

1111

Image and Video Multimedia Communications
Prediction of Transmission Distortion for Wireless Video Communication: Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Z. Chen and D. Wu
Iterative Channel Decoding of FEC-Based Multiple-Description Codes . . . . . . . . . . . . . . . S.-H. Chang, P. C. Cosman, and L. B. Milstein

1123
1138

Color and Multispectral Imaging
Toward a Unified Color Space for Perception-Based Image Processing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . I. Lissner and P. Urban

1153

Scanned Document Analysis, Processing and Coding
Text-Line Extraction in Handwritten Chinese Documents Based on an Energy Minimization Framework . . . . . H. I. Koo and N. I. Cho

1169

Stereoscopic and Multiview Processing and Display
Depth Video Enhancement Based on Weighted Mode Filtering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . D. Min, J. Lu, and M. N. Do
Sharpness Enhancement of Stereo Images Using Binocular Just-Noticeable Difference . . . . . . . . . . S.-W. Jung, J.-Y. Jeong, and S.-J. Ko

1176
1191

Hardware and Software Systems for Image and Video Processing
A Compressive Sensing and Unmixing Scheme for Hyperspectral Data Processing . . . . . . . . . . . . C. Li, T. Sun, K. F. Kelly, and Y. Zhang

1200

Acoustic and Ultrasound Imaging
Completely Automated Multiresolution Edge Snapper-A New Technique for an Accurate Carotid Ultrasound IMT Measurement:
Clinical Validation and Benchmarking on a Multi-Institutional Database . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . F. Molinari, C. S. Pattichis, G. Zeng, L. Saba, U. R. Acharya, R. Sanfilippo, A. Nicolaides, and J. S. Suri

1211

Microscopic Imaging
A Surface-Based 3-D Dendritic Spine Detection Approach From Confocal Microscopy Images . . . . . . . . . . . . . . . . . . . . . Q. Li and Z. Deng

1223

Region, Boundary, and Shape Analysis
Automatic Bootstrapping and Tracking of Object Contours . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . J. Chiverton, X. Xie, and M. Mirmehdi
Variational Viewpoint of the Quadratic Markov Measure Field Models: Theory and Algorithms . . . . . . . . . . . M. Rivera and O. Dalmau
Snakes With an Ellipse-Reproducing Property . . . . . . . . . . . . . . . . . . R. Delgado-Gonzalo, P. Thévenaz, C. S. Seelamantula, and M. Unser

1231
1246
1258

Image and Video Mid Level Analysis
A Unified Spectral-Domain Approach for Saliency Detection and Its Application to Automatic Object Segmentation . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . C. Jung and C. Kim
Discriminative Metric Preservation for Tracking Low-Resolution Targets . . . . . . . . . . . . . . . . . . . . . . . . . . . N. Jiang, H. Su, W. Liu, and Y. Wu
Efficient Object Tracking by Incremental Self-Tuning Particle Filtering on the Affine Group . . . . M. Li, T. Tan, W. Chen, and K. Huang

1272
1284
1298

Image and Video Interpretation and Understanding
Multilinear Supervised Neighborhood Embedding of a Local Descriptor Tensor for Scene/Object Recognition . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . X.-H. Han, Y.-W. Chen, and X. Ruan
Saliency Detection by Multitask Sparsity Pursuit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . C. Lang, G. Liu, J. Yu, and S. Yan
Web and Personal Image Annotation by Mining Label Correlation With Relaxed Visual Graph Embedding . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Y. Yang, F. Wu, F. Nie, H. T. Shen, Y. Zhuang, and A. G. Hauptmann

1314
1327
1339

Image and Video Biometric Analysis
Enhanced Patterns of Oriented Edge Magnitudes for Face Recognition and Image Matching . . . . . . . . . . . . . . . . . . N.-S. Vu and A. Caplier
Color Local Texture Features for Color Face Recognition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . J. Y. Choi, Y. M. Ro, and K. N. Plataniotis
Discriminant Learning Through Multiple Principal Angles for Visual Recognition . . . . . . . . . . . . . . . . . . . Y. Su, Y. Fu, X. Gao, and Q. Tian

1352
1366
1381

Image and Video Synthesis, Rendering, and Visualizations
Antialiasing Filter Design for Subpixel Downsampling via Frequency-Domain Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . L. Fang, O. C. Au, K. Tang, and A. K. Katsaggelos

1391

CORRESPONDENCE

Image and Video Representation
A Generalized Logarithmic Image Processing Model Based on the Gigavision Sensor Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . G. Deng

1406

Information for Authors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

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Table of Contents for the Digital Edition of Content Gazette - April 2012
