IMPORTANT DATES
Dates currently being confirmed; check back.
 
2022
Call for Papers Announced 2 May
Journal-first (JIST/JPI) Submissions
∙ Submission site Opens 2 May 
∙ Journal-first (JIST/JPI) Submissions Due 1 July
∙ Final Journal-first manuscripts due 28 Oct
Conference Papers Submissions
∙ Abstract Submission Opens 1 June
∙ Priority Decision Submission Ends 15 July
∙ Regular Submission Ends  15 Aug
∙ FastTrack Conference Proceedings Manuscripts Due 16 Dec 
∙ All Outstanding Proceedings Manuscripts Due
 6 Feb 2023
Registration Opens late summer
Demonstration Applications Due 9 Dec
Early Registration Ends 18 Dec


2023
Hotel Reservation Deadline 6 Jan
Symposium begins
15 Jan

Computational Imaging XXI

Conference keywords: inverse problems, image reconstruction, image analysis, denoising, model-based imaging

On this page

ATTENTION: EI 2023 will occur IN-PERSON. 

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.

2023 Conference Topics

Algorithms and methodologies

  • Inverse methods
  • Model-based imaging and compressed sensing
  • Estimation techniques
  • Imaging system modeling and simulation
  • Optimization approaches
  • Multiscale image processing and modeling
  • Statistical learning and analysis methods

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
  • Acoustic imaging
  • Diffusion optical imaging
  • Electrical resistance and impedance imaging
  • Crystallography
  • 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

2023 Special Session

TBA

2023 Committee

Conference Chairs

Charles A. Bouman, Purdue University (United States)
Gregery T. Buzzard, Purdue University (United States)
Robert L. Stevenson, University of Notre Dame (United States)

Program Committee

Clem Karl, Boston University (United States)
Eric Miller, Tufts University (United States)
Joseph A O'Sullivan, Washington University in St. Louis (United States)
Hector J Santos-Villalobos, Oak Ridge National Laboratory (United States)
Ken D. Sauer, University of Notre Dame (United States)

Community Chair

Begum Gulsoy, Northwestern University (United States)

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