High quality images are important for both visualization and analysis purpose. Image reconstruction, the process to compute high quality images from raw hardware measurements and image enhancement, the process to obtain higher quality images from different low quality images (e.g., noisy, blurred, low resolution) of the same scene/object are important imaging problems. Appropriate modeling and efficient algorithms are substantial in both problems. This 4-session mini-symposium gathers together the latest theoretical and practical development in this broad topic. Three sessions focus on (depending on titles) while one session focuses on enhancing resolution of multi-spectral and high-spectral images.

Sparse-data Based 3D Surface Reconstruction for Cartoon and Map

Xue-Cheng Tai (Hong Kong Baptist University)

Infimal Convolution of Oscillation Total Generalized Variation for the Recovery of images with structured texture

Kristian Bredies (Universität Graz)

A Distributed Dictionary Learning Algorithm and its Applications

Weihong Guo (Case Western Reserve University)

Variational Models for Joint Subsampling and Reconstruction of Turbulence-degraded Images

Chun Pong Lau (The Chinese University of Hong Kong)

Fast multilevel algorithms for nonlinear optimization in image processing

Abdul Jumaat (University of Liverpool)

Variational Phase Retrieval with globally convergent preconditioned Proximal Algorithm

Yifei Lou (University of Texas at Dallas)

A Multigrid Approach for Multi Scale Total Variation Models

Ke Yin (Huazhong Univeristy of Science and Technology)

High-Resolution Fluorescence Microscopy Image Deconvolution

Jing Qin (Montana State University)

Super-Resolution of Multispectral Multiresolution Images

Mário Figueiredo (Instituto de Telecomunicações and IST, University of Lisboa)

The SparseFI Algorithms for Resolution Enhancement of Optical Remote Sensing Images

Claas Grohnfeldt (Technical University of Munich (TUM))

Fusion of Multispectral and Panchromatic Image: a Review of Classical Approaches and New Developments

Andrea Garzelli (University of Siena)

Producible Kernel Hilbert Space and Heaviside Functions in Image Enhancement

Liang-Jian Deng (University of Electronic Science and Technology of China)

Convex Blind Image Deconvolution with Inverse Filtering

Tieyong Zeng (Department of Mathematics, The Chinese University of Hong Kong, Shatin, N.T.)

Phase Retrieval from Local Measurements: Deterministic Measurement Constructions and Efficient Recovery Algorithms

Aditya Viswanathan (University of Michigan - Dearborn)

Organizers:

Ke Chen (University of Liverpool)

Weihong Guo (Case Western Reserve University)

Guohui Song (Clarkson University)

Xue-Cheng Tai (Hong Kong Baptist University)

Keywords:

image deblurring, image enhancement, image fusion, image reconstruction, image super-resolution, nonlinear optimization