Computational Imaging XXIII
Conference keywords: inverse problems, image reconstruction, image analysis, denoising, model-based imaging
On this page
Conference Overview
More than ever before, computers and computation are critical to the image formation process. Across diverse applications and fields, remarkably similar imaging problems appear, requiring sophisticated mathematical, statistical, and algorithmic tools. This conference focuses on imaging as a marriage of computation with physical devices. It emphasizes the interplay between mathematical theory, physical models, and computational algorithms that enable effective current and future imaging systems. Contributions to the conference are solicited on topics ranging from fundamental theoretical advances to detailed system-level implementations and case studies.
2025 Conference Topics
Algorithms and methodologies
- Inverse methods
- Model-based imaging
- Imaging systems design
- Physics based sensor models
- Optimization approaches
- AI and Machine learning
- Multiscale image processing and modeling
- Statistical learning and analysis methods
- High-performance computer implementations
Key problem areas
- Image recovery from sensor data
- Tomography, transmission, and emission
- Denoising, demosaicing, color correction
- Deblurring and super-resolution rendering
- Commercial and industrial imaging
- Radar and LIDAR imaging
- Synthetic aperture radar
- Holographic and coherent optical imaging
- Coded aperture and compressed sensing
- MRI, anatomical, functional, and molecular
- Visual perception as an inverse problem
- Microscopy, light, EM, and non-classical
- Optical coherence imaging
- Neutron imaging
- Acoustic imaging
- Diffusion optical imaging
- Computational depth-of-field enhancement
- Plenoptics and non-classical image capture
Current and future applications
- Scientific imaging for material science
- Consumer imaging and computational photography
- Super-resolution and enhancement
- Imaging and camera networks
- Non-destructive evaluation for additive manufacturing
- Medical imaging and image-guided surgery
- Microscopy and clinical applications
- Emerging biomedical applications
- Geophysical imaging
- Materials imaging and characterization
- Nondestructive testing and evaluation
- Imagery-based surveillance and tracking
- Target classification and identification
- Remote sensing applications
2025 Special Sessions
TBA
2025 Committee
Conference Chairs
Charles A. Bouman, Purdue University (US)
Gregery T. Buzzard, Purdue University (US)
Program Committee
Amir Koushyar Ziabari, Oak Ridge National Laboratory (US)
Singanallur Venkatakrishnan, Oak Ridge National Laboratory(US)
Jeffrey P. Simmons, Air Force Research Laboratory (US)
Andre van Rynbach, Air Force Research Laboratory(US)
Hector J Santos-Villalobos, Oak Ridge National Laboratory (US)
Sergio Goma, Qualcomm (US)
Emma Reid, Oak Ridge National Laboratory(US)