Image and Vision Computing - Impact Factor

Image and Vision Computing - Elsevier | 2025 Impact Factor:5.0 | Cite Score:7.7 | SCOPUS Q1

Impact Factor and Journal Rank of Image and Vision Computing

About: Image and Vision Computing is a leading journal published by Elsevier that focuses on the fields of computer vision and image processing. It serves as a premier platform for the dissemination of significant research findings and technological advancements in the analysis, processing, and understanding of images and visual data.
Objective:
The primary objective of Image and Vision Computing is to advance the theoretical and practical understanding of computer vision and image processing. The journal aims to foster the development of innovative techniques and methodologies that contribute to the analysis and interpretation of visual information, thereby pushing the boundaries of what is achievable in these fields.
Peer Review Process:
Image and Vision Computing maintains a stringent peer-review process to ensure the publication of high-quality research. Submitted manuscripts are meticulously evaluated by domain experts who assess the originality, technical merit, and relevance of the research, ensuring that only the most impactful and scientifically robust papers are accepted.
Innovation and Impact:
The journal is dedicated to publishing cutting-edge research that drives innovation in computer vision and image processing. By highlighting breakthrough discoveries and novel approaches, Image and Vision Computing aims to influence future research directions and practical applications in these rapidly evolving fields.
Global Reach and Accessibility:
Image and Vision Computing attracts a global audience of researchers, practitioners, and educators. The journal is committed to promoting the widespread dissemination of knowledge and facilitating the exchange of ideas across different regions and disciplines, thereby fostering a collaborative and inclusive scientific community.
Interdisciplinary Collaboration:
Recognizing the interdisciplinary nature of computer vision and image processing, the journal welcomes contributions that integrate insights from related fields such as machine learning, artificial intelligence, robotics, and biomedical imaging. This interdisciplinary approach enhances the richness and applicability of the research published in Image and Vision Computing.
Practical Application and Management:
In addition to theoretical advancements, the journal places a strong emphasis on practical applications and case studies. These articles provide valuable insights into the real-world implementation of computer vision and image processing techniques, offering practical guidance and best practices to professionals working in the field.

Journal Home: Journal Homepage

Editor-in-Chief: X. Wang

Scope: Image and Vision Computing is an international journal that focuses on high-quality research in the field of image processing and computer vision. The journal covers a wide range of topics related to the analysis, processing, and understanding of images and video. Areas of interest include, but are not limited to:
Image Processing:
Techniques for image enhancement, restoration, and compression.
Computer Vision:
Algorithms and systems for object recognition, tracking, and motion analysis.
3D Vision:
Methods for 3D reconstruction, depth estimation, and stereoscopic vision.
Pattern Recognition:
Approaches for detecting and classifying patterns in images and videos.
Machine Learning for Vision:
Application of machine learning and deep learning techniques to image and video analysis.
Medical Imaging:
Techniques for processing and analyzing medical images for diagnosis and treatment.
Biometrics:
Methods for facial recognition, fingerprint analysis, and other biometric applications.
Vision for Robotics:
Vision-based navigation, mapping, and object manipulation in robotic systems.
Multimedia Applications:
Techniques for content-based image and video retrieval, indexing, and annotation.
Human-Computer Interaction:
Vision-based interfaces and applications for enhancing human-computer interaction.