Topic Editors

Dr. Pei-Ju Chiang
Department of Systems & Naval Mechatronic Engineering, National Cheng Kung University, No. 1, University Road, Tainan City 701, Taiwan
Dr. Cheng-Lun Chen
Department of Electrical Engineering, National Chung Hsing University, Taichung 40227, Taiwan
Dr. Ping-Huan Kuo
Department of Mechanical Engineering, National Chung Cheng University, Chiayi 62102, Taiwan
Prof. Dr. Wen-Yang Chang
Department of Mechanical and Computer-Aided Engineering, National Formosa University, Yunlin 632301, Taiwan

New Challenges in Image Processing and Pattern Recognition

Abstract submission deadline
31 March 2026
Manuscript submission deadline
30 June 2026
Viewed by
68

Topic Information

Dear Colleagues,

The topic “New Challenges in Image Processing and Pattern Recognition” aims to provide a comprehensive and forward-looking platform for the exchange of innovative research addressing emerging issues, novel methodologies, and multidisciplinary applications in the fields of image processing and pattern recognition. As digital imagery becomes increasingly central across domains—ranging from autonomous systems and biomedical imaging to security, remote sensing, and industrial automation—new challenges continue to arise due to growing data complexity, real-time demands, and the integration of artificial intelligence.

This topic seeks contributions that push the boundaries of current techniques or offer novel perspectives on traditional problems. We welcome both theoretical developments and practical applications that demonstrate clear innovation and impact.

The scope of the topic includes, but is not limited to:

  • Advanced image enhancement, restoration, and reconstruction techniques;
  • Deep learning architectures and transformer models for image understanding;
  • Explainable AI (XAI) and trustworthy pattern recognition systems;
  • Real-time and embedded vision systems for edge computing;
  • Multimodal data fusion (e.g., RGB-D, thermal, hyperspectral);
  • Three-dimensional vision, shape analysis, and object recognition in complex scenes;
  • Bio-inspired and physics-informed image analysis models;
  • Adversarial attacks, robustness, and secure pattern recognition;
  • Image processing in biomedical, environmental, industrial, and artistic domains;
  • Benchmarking and evaluation metrics for image processing algorithms.

The topic encourages interdisciplinary approaches and collaborative studies that link computer vision with neuroscience, cognitive science, computational imaging, and other related fields.

Dr. Pei-Ju Chiang
Dr. Cheng-Lun Chen
Dr. Ping-Huan Kuo
Prof. Dr. Wen-Yang Chang
Topic Editors

Keywords

  • pattern recognition
  • image processing
  • computer vision
  • image analysis
  • 3D vision
  • stereo vision
  • image enhancement
  • restoration
  • reconstruction

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Applied Sciences
applsci
2.5 5.5 2011 19.8 Days CHF 2400 Submit
Computers
computers
4.2 7.5 2012 16.3 Days CHF 1800 Submit
Electronics
electronics
2.6 6.1 2012 16.8 Days CHF 2400 Submit
Journal of Imaging
jimaging
3.3 6.7 2015 15.3 Days CHF 1800 Submit
Machine Learning and Knowledge Extraction
make
6.0 9.9 2019 25.5 Days CHF 1800 Submit
Modelling
modelling
1.5 2.2 2020 19.5 Days CHF 1200 Submit

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Published Papers

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