Opening Up Computer Science

Array is an international open access multidisciplinary journal encompassing a broad spectrum of topics in computer science, including

    Artificial Intelligence, Machine Learning and Robotics
    Computer Systems and Architecture
    Computer Vision, Speech and Pattern Recognition
    Control & Signal Processing
    Cyber Security
    Data, Knowledge and Intelligent Systems
    Industrial Engineering
    Interdisciplinary Applications
    Medical Informatics and Biomedical Engineering
    Microelectronics and Hardware
    Multimedia and HCI
    Networks and Communications
    Operational Research and Decision Systems
    Scientific Computing
    Software Engineering
    Theoretical Computer Science

Submissions must be novel, technically sound, and clearly presented. Array accepts both technical notes (technical notes are limited to a maximum of 10 pages in the standard Elsevier format) and regular papers. In addition to research papers presenting new results, review articles as well as discussion and opinion papers are also welcome.

Papers meeting journal criteria will undergo a single-blind review process, utilizing a minimum of two (2) external referees. Our dedicated expert editorial team, together with an editorial board of hundreds of active researchers from all areas of computer science, ensure that papers move through to publication as fast as possible without compromising on the quality of the process.

The journal audience comprises academia, industry, and practitioners. Authors are strongly encouraged to make their datasets publicly accessible via a repository of their choosing.

Software publication

We invite you to convert your open source software into an additional journal publication in Software Impacts, a multi-disciplinary open access journal. Software Impacts provides a scholarly reference to software that has been used to address a research challenge. The journal disseminates impactful and re-usable scientific software through Original Software Publications which describe the application of the software to research and the published outputs.

For more information contact us at: software.impacts@elsevier.com

Special Issue on Recent Advances and Applications in Image Colorization with Deep Learning
截稿日期: 2025-12-31

Image coloring is the process of converting a grayscale image into a color image with natural sensory and visual quality. Image coloring task is a classic computer vision problem, especially, infrared image colorization it has been widely concerned by scholars. Infrared image is obtained by detecting infrared radiation, and it is widely used in military, security monitoring, medicine and geological exploration. However, due to the special nature of infrared images, they lack color information, so coloring infrared images can make it easier for observers to understand and analyze image content. In recent years, image coloring technology has made important progress in the field of natural image and infrared image, especially the latest image coloring algorithms based on deep learning, are constantly proposed, which is of great significance for many application fields, such as medical diagnosis, remote sensing, artistic creation, night vision and other special application fields.  
Full scope of the Special Issue: 

    Image colorization based on deep learning
    Image colorization based on color transfer
    Image colorization based on scribble
    Image colorization based on multi-modal image fusion
    Spectral recovery or colorization of remote sensing image
    Natural image colorization
    Image colorization in biomedical engineering
    Real time applications of image colorization
    Image enhancement
    Low quality image processing

Guest editors:

Xin Jin, PhD
Yunnan University, Kunming, China
Email: xinjin@ynu.edu.cn

Qian Jiang, PhD
Yunnan University, Kunming, China
Email: jiangqian@ynu.edu.cn

Shin-Jye Lee, PhD
National Yang Ming Chiao Tung University, Hsinchu, Taiwan
Email: camhero@gmail.com

Michal Wozniak, PhD
Wroclaw University of Science and Technology, Wroclaw, Poland
Email: michal.wozniak@pwr.edu.pl

Tai Yonghang, PhD
Yunnan Normal University, Kunming, China 
Email: taiyonghang@126.com

Manuscript submission information:

The journal's submission platform (Editorial Manager®) will be open for submissions to this Special Issue from January 10th, 2025. Please refer to the Guide for Authors to prepare your manuscript and select the article type of “VSI: Image colorization” when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: Array | Journal | ScienceDirect.com by Elsevier. 

This Special Issue offers 50% APC discount.

Timeline:

Submission Open Date *10/01/2025
Final Manuscript Submission Deadline *31/12/2025
Editorial Acceptance Deadline *30/04/2026

Keywords:

Image colorization, Artificial Intelligence, Deep learning, Neural networks, Machine learning