Dates currently being confirmed; check back.

Call for Papers Announced 2 May
Journal-first (JIST/JPI) Submissions

∙ Submission site Opens 2 May 
∙ Journal-first (JIST/JPI) Submissions Due 1 Aug
∙ Final Journal-first manuscripts due 28 Oct
Conference Papers Submissions
∙ Abstract Submission Opens 1 June
∙ Priority Decision Submission Ends 15 July
∙ Extended Submission Ends  19 Sept
∙ 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

Hotel Reservation Deadline 6 Jan
Symposium begins
15 Jan

Computational Imaging XXI

January 15-19, 2023 • Parc 55 Hotel, San Francisco, CA

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 Sessions

Computational Imaging using Fourier Ptychography and Phase Retrieval

Session Organizing Chairs:
Andre Van Rynbach, AFRL (United States)
Tony Allen, Purdue University (United States)

Access to the full complex phase and amplitude of a light wave in an imaging system can greatly enhance reconstructed images in applications such as microscopy, astronomy, remote sensing, and ptychography. However, direct measurement of the optical field is not possible with existing electronic measurement devices, which record only the magnitude of the irradiance. Computationally based phase retrieval methods attempt to overcome this limitation by recovering the optical phase from multiple irradiance measurements together with prior information, which can be enhanced using powerful machine learning techniques. This special session highlights recent developments in Fourier ptychography and phase retrieval methods along with exciting implications for further advances in computational imaging.

Processing at the Edge

This session is jointly sponsored by the Computational Imaging XXI and the Imaging Sensors and Systems 2023 conferences.

Session Organizing Chairs:
Boyd Fowler, Omnivision Technologies, Inc. (United States)
Stanley Chan, Purdue University (United States)

Modern image sensors are increasingly capable of performing difficult vision tasks, for mobile, automotive, security and medical applications. However, increasing demands for low power, high-bandwidth, and high complexity are forcing computation to be pushed nearer to the sensor or “edge” of the sensing system. This special session invites speakers to discuss emerging methods for moving processing to the edge. Topics include, but are not limited to, on-chip sensor processing, low-power edge processors, algorithms for edge processing, stacked image sensors with integrated processing, low power image sensors, and imaging applications that utilize edge processing. The International Image Sensors Society (IISS) is co-sponsoring this session.

Imaging with Coded Apertures

Session Organizing Chairs:
Doga Gursoy, Argonne National Laboratory (United States)

Beginning with the advent of coded-aperture space telescopes as an efficient imaging technique back in the early 1960s, coded-aperture imaging has grown today into a well-established technique in many fields of study from imaging of microscopic materials to astronomical objects. While conventionally used as amplitude-only modulators of the incident light, coded-apertures are increasingly used for different types of light modulation and data acquisition schemes such as for imaging with coherent light or for scanning-based systems. This session will focus on the recent trends in the uses of coded-apertures for existing and emerging applications and will cover topics ranging from development and optimization of coded-apertures to image reconstruction algorithms and data acquisition schemes.

Neutron Imaging Beyond Traditional Radiography

Session Organizing Chairs:
Sven Vogel, Los Alamos National Laboratory (United States)
Alexander Long, Los Alamos National Laboratory (United States)

Recent advances have pushed the field of neutron imaging beyond traditional attenuation-based radiography techniques and enabled approaches such as phase contrast imaging, grating interferometry, absorption resonance imaging, and Bragg-edge imaging. As improvements in detector technology drive the limits of neutron imaging capabilities, new and innovative experimental setups, along with state-of-the-art analysis techniques, are required to meet the unique demands within these novel applications. This special session aims to bring together researchers at the frontier of the neutron imaging community to discuss the latest achievements and open challenges in neutron imaging applications and techniques.

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)

No content found

No content found

No content found