Journal of Electronic Imaging

Editor-in-Chief: Karen Egiazarian, Tampere University, Finland

The Journal of Electronic Imaging, copublished by IS&T and SPIE, publishes papers in all technology areas that make up the field of electronic imaging and are normally considered in the design, engineering, and applications of electronic imaging systems.

On the cover: The figure is from the paper " Crowd Counting via an inverse attention residual network" by Yan-Bo Liu et al., from Vol. 29, Issue 3.

Call For Papers
How to Submit a Manuscript

Regular papers: Submissions of regular papers are always welcome.

Special section papers: Open calls for papers are listed below. A cover letter indicating that the submission is intended for a particular special section should be included with the paper.

To submit a paper, please prepare the manuscript according to the journal guidelines and use the online submission systemLeaving site. All papers will be peer‐reviewed in accordance with the journal's established policies and procedures. Authors have the choice to publish with open access.

Image and Video Compression using Deep Neural Networks
Publication Date
Vol. 30, Issue 4
Submission Deadline
30 November 2020
Guest Editors
Ofer Hadar

Ben-Gurion University of the Negev, Israel
ofer.hadar2@gmail.com

Touradj Ebrahimi

Swiss Federal Institute of Technology, Lausanne, Switzerland
touradj.ebrahimi@epfl.ch

Scope

Deep neural networks (DNNs) have emerged in recent years as a best-of-breed alternative for performing various classification, prediction, and identification tasks in images and other fields of study. In the last few years, various research groups have explored the option of harnessing them to improve image and video processing with the primary purpose of reducing video compression rates while retaining the same video quality. Evolving neural-network-based video coding research efforts are focused in two directions: (1) improving existing video codecs by performing better predictions that are incorporated within the same codec framework, and (2) holistic methods of end-to-end image/video compression schemes. After exhausting human-crafted analytic algorithms for compression, channel optimization, restoration, and quality enhancements, neural networks present the promise to make the next big leap.

This special section focuses primarily on research in the field of image and video compression and quality enhancements using different architectures of DNNs. Our purpose is to review the new progress and achievements of the research work to date.

Topics of interest for this special section include but are not limited to:

  • Intra-predictive coding with DNNs
  • Inter-prediction coding with DNNs
  • End-to-end schemes for image and video compression
  • Using generative models for image and video compression
  • Using neural-network-based super-resolution for improving video compression
  • Improving entropy coding with DNNs
  • End-to-end neural network based auto-encoder schemes for image and video compression
  • Saliency analytics to improve human visual experience and rates
  • Improving transform coding methods with DNNs
  • Neural-network-based next-frame video prediction for improving video compression
  • In-loop filtering with DNNs
  • Inpainting based coding with DNNs
  • Multimedia transmission optimization over networks and channels
  • Image and video restoration, enhancement, and quality improvements

Manuscripts should conform to the author guidelines of the Journal of Electronic Imaging. Prospective authors should submit an electronic copy of their manuscript through the online submission system at https://jei.msubmit.net. The special section should be mentioned in the cover letter. Each manuscript will be reviewed by at least two independent reviewers. Peer review will commence immediately upon manuscript submission, with a goal of making a first decision within six weeks. Each paper is published as soon as the copyedited and typeset proofs are approved by the author.

DNNs
Perceptually Optimized Imaging
Publication Date
Vol. 30, Issue 2
Submission Deadline
15 August 2020
Guest Editors
Shuhang Gu

The University of Sydney, Australia
shuhanggu@gmail.com

Radu Timofte

ETH Zurich, Switzerland
radu.timofte@vision.ee.ethz.ch


Kede Ma

City University of Hong Kong
kede.ma@cityu.edu.hk

Scope

Aiming at improving the visual quality of input images, image restoration and enhancement is one of the most classical topics in the field of image processing. With the proliferation of imaging devices, recent years have witnessed a growing interest in image/video restoration and enhancement. A large number of computational solutions have been proposed, ranging from purely knowledge-driven designs to fully data-driven models based on deep neural networks (DNNs). Most of the newly designed methods optimize their results for the widely used mean squared error (MSE), or equivalently the peak signal-to-noise ratio (PSNR), despite their poor correlation with human perception of image/video quality. Fortunately, the research community has gradually shifted attention from pixel-wise fidelity oriented to perceptually optimized solutions, with the goal of restoring visually appealing results that are better-suited for human-centered visual applications.  

This special section focuses primarily on perceptual quality oriented image/video restoration and enhancement. Our main goal is to facilitate and promote research in the field of perceptually optimized imaging, including design of more perceptually relevant training/evaluation criteria and inference algorithms. 

Topics of interest for this special section include but are not limited to: 

  • Training criterion for perceptually optimized imaging;
  • Rational network architecture design for perceptually optimized imaging;
  • Trade-off between the perceptual quality and fidelity;
  • Robust and interpretable image/video restoration and enhancement; 
  • Understanding DNN-based image/video restoration methods and their connection to classic ones;
  • Fast and reliable subjective quality assessment of image/video restoration;
  • Image/video restoration and enhancement in the wild.

Manuscripts should conform to the author guidelines of the Journal of Electronic Imaging. Prospective authors should submit an electronic copy of their manuscript through the online submission system at https://jei.msubmit.net. The special section should be mentioned in the cover letter. Each manuscript will be reviewed by at least two independent reviewers. Peer review will commence immediately upon manuscript submission, with a goal of making a first decision within 6 weeks. Each paper is published as soon as the copyedited and typeset proofs are approved by the author.

Advances in Urban Imaging and Applications
Publication Date
Vol. 30, Issue 3
Submission Deadline
1 November 2020
Guest Editors
Xiaohui Yuan

University of North Texas, USA
xiaohui.yuan@unt.edu

Sos Agaian

College of Staten Island, USA
sos.agaian@csi.cuny.edu

Wencheng Wang

Weifang University, China
wwcwfu@126.com

Mohamed Elhoseny

Mansoura University, Egypt
mohamed_elhoseny@mans.edu.eg

Scope

As a new generation of electronic imaging sensors and platforms is being deployed in modern cities, imagery data in massive volume from surveillance cameras, social media, and remote/proximate sensing platforms are harvested and stored that scaffold the transform of urban life. Making use of such rich data to support intelligent and efficient management of urban affairs is a pressing demand to improve livability and accessibility for our citizens. The rapid growth of cities and the associated human activities lead to various urban problems, such as congestion, imbalanced resource allocation, and pollution. On the other hand, the rapid advance of computing techniques for learning from massive data has profoundly changed our world in many aspects that significantly improve the performance of analysis of big data from our daily lives. Yet, the development and application of advanced computing methods for big urban data (text, images, and videos) analysis and management are limited, and intelligent technologies are still finding their feet in the fields of smart communities. New ideas that leverage the vast amount of diverse data from numerous sources and cutting-edge computing power to address emerging needs are urgently sought.


This special section aims to include recent advancements of theories and applications in the images and multimodal sensory data to enable and scaffold the development of smart cities. It invites papers that shed light on the opportunities, challenges, and solutions that advance the design and implementation of intelligent analysis of imagery data for the utilization and management of city assets, thus contributing to the autonomous, reliable, and efficient operation of modern cities.

This special section aims:
(1) to include recent advancements of theories and applications in the computational imaging and multimodal sensory data to enable and scaffold the development of smart cities;
(2) to identify the opportunities, challenges, and explore future topics on emerging in computational urban imaging and intelligence;
(3) to emphasis on those applications that take into understanding human collaboration, interactions, social behavior, and communication.

Topics of interest include but are not limited to the following:

  • Advanced algorithms and applications of image understanding of urban data
  • Machine learning methods for urban imaging, analysis, and visualization
  • Advanced techniques for object detection, complex scene recognition, target detection in urban scenarios
  • Signal and image analysis techniques for healthcare, wellbeing, and public safety for big cites
  • High-performance urban disaster modeling, monitoring, analysis, and prediction
  • Imaging methods for pollution and resource monitoring and management
  • Computer vision-based applications to smart cities
  • Urban computing and big data
  • Image analytics for big urban data infrastructure
  • Urban visualization methods

Manuscripts should conform to the author guidelines of the Journal of Electronic Imaging. Prospective authors should submit an electronic copy of their manuscript through the online submission system at https://jei.msubmit.net. The special section should be mentioned in the cover letter. Each manuscript will be reviewed by at least two independent reviewers. Peer review will commence immediately upon manuscript submission, with a goal of making a first decision within 6 weeks. Each paper is published as soon as the copyedited and typeset proofs are approved by the author.

Published Special Sections

Quality Control by Artificial Vision VI (July/August 2020)
Guest Editors: Olivier Aubreton, Kunihito Kato, Kazunori Umeda, and Christophe Cudel

Advanced and Intelligent Vision Systems (March/April 2019)
Guest Editors: Fabrice Meriaudeau, Tang Tong Boon, and Irraivan Elamvazuthi

Image and Video Analysis, Detection, and Recognition
(September/October 2018)
Guest Editors: Edoardo Ardizzone and M. Emre Celebi

Computational Color Imaging (January/February 2018)
Guest Editors: Simone Bianco, Raimondo Schettini, Shoji Tominaga, and Alain Trémeau

Superpixels for Image Processing and Computer Vision (November/December 2017)
Guest Editors: Olivier Lézoray, Cyril Meurie, and M. Emre Celebi

Video Analytics for Public Safety (September/October 2017)
Guest Editors: Robert Loce, Edward J. Delp, and Sharath Pankanti

Retinex at 50 (May/June 2017)
Guest Editors: Alessandro Rizzi, John J. McCann, Marcelo Bertalmío, Gabriele Gianini

Image Processing for Cultural Heritage (January/February 2017)
Guest Editors: Aladine Chetouani, Robert Erdmann, David Picard, Filippo Stanco

Perceptually Driven Visual Information Analysis (November/December 2016)
Guest Editors: Mohamed-Chaker Larabi, Sanghoon Lee, Mohammed El Hassouni, Frédéric Morain-Nicolier, Rachid Jennane

Color in Texture and Material Recognition (November/December 2016)
Guest Editors: Raimondo Schettini, Joost van de Weijer, Claudio Cusano, and Paolo Napoletano

Intelligent Surveillance for Transport Systems (September/October 2016)
Guest Editors: Louahdi Khoudour, Yassine Ruichek, ans Sergio Velastin

Advances on Distributed Smart Cameras (July/September 2016)
Guest Editors: Jorge Fernández-Berni, François Berry, and Christian Micheloni

Quality Control by Artificial Vision: Nonconventional Imaging Systems (November-December 2015)
Guest Editors: Fabrice Mériaudeau and Aamir Saeed Malik

Ultrawide Context- and Content-Aware Imaging, Part II (November-December 2015)
Guest Editors: François Brémond, Ljiljana Platiša, and Sebastiano Battiato

Ultrawide Context- and Content-Aware Imaging, Part I (September-October 2015)
Guest Editors: François Brémond, Ljiljana Platiša, and Sebastiano Battiato

Image/Video Quality and System Performance (November-December 2014)
Guest Editors: Mohamed-Chaker Larabi, Sophie Triantaphilliadou, and Andrew B. Watson

Stereoscopic Displays and Applications (January-February 2014)
Guest Editors: Nicolas Holliman and Takashi Kawai

Video Surveillance and Transportation Imaging Applications (Oct-Dec 2013)
Guest Editors: Robert Loce and Eli Saber

Compressive Sensing for Imaging (April-June 2013)
Guest Editors: Fauzia Ahmad, Gonzalo R. Arce, Ram M. Narayanan, Dimitris A. Pados

Mobile Computational Photography (January-March 2013)
Guest Editors: Todor Georgiev, Andrew Lumsdaine, Sergio Goma

Quality Control by Artificial Vision (April-June 2012)
Guest Editors: Jean-Charles Pinoli, Karen Panetta, and Seiji Hata

Stereoscopic Displays and Applications (January-March 2012)
Guest Editors: Neil Dodgson and Nick Holliman

Quality Control by Artificial Vision (September-December 2010)
Guest Editors: Edmund Y. Lam, Shaun S. Gleason, and Kurt S. Niel

Digital Photography (April-June 2010)
Guest Editors: Peter B. Catrysse and Sabine Süsstrunk

Image Quality (January-March 2010)
Guest Editors: Susan Farnand and Frans Gaykema

Quality Control by Artificial Vision (July-September 2008)
Guest Editors: Hamed Sari-Sarraf, David Fofi, and Nelson H. C. Yung

Biometrics: Advances in Security, Usability, and Interoperability (January-March 2008)
Guest Editors: Claus Vielhauer, Berrin Yanikoğlu, Sonia Garcia-Salicetti, Richard M. Guest, and Stephen J. Elliott

Security, Steganography, and Watermarking of Multimedia Contents (October-December 2006)
Guest Editors: Jana Dittmann and Edward J. Delp

Color Imaging: Processing, Hard Copy, and Applications (October-December 2006)
Guest Editors: Reiner Eschbach and Gabriel Marcu

Quality Control by Artificial Vision (July-September 2004)
Guest Editors: Kenneth W. Tobin, Fabrice Meriaudeau, and Luciano da Fontoura Costa

Retinex at 40 (January-March 2004)
Guest Editors: John J. McCann

Imaging through Scattering Media (October-December 2003)
Guest Editors: David A. Boas, Charles A. Bouman, and Kevin J. Webb

Model-Based Medical Image Processing and Analysis (January-March 2003)
Guest Editors: James C. Gee; Mostafa Analoui

Internet Imaging (October-December 2002)
Guest Editors: Giordano Beretta and Raimondo Schettini

Storage, Processing, and Retrieval of Digital Media (October-December 2001)
Guest Editors: Minerva M. Yeung, Chung-Sheng Li, Rainer Lienhart,and Boon-Lock Yeo

Process Imaging for Automatic Control (July-September 2001)
Guest Editors: David M. Scott and Hugh McCann

Statistical Issues in Psychometric Assessment of Image Quality (April-June 2001)
Guest Editors: John C. Handley and John Bunge

Human Vision and Electronic Imaging (January-March 2001)
Guest Editors: Bernice E. Rogowitz, Thrasyvoulos N. Pappas, and Jan P. Allebach

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