Eurasip Journal on Image and Video Processing
Published by Springer Publishing Company
ISSN : 1687-5176 eISSN : 1687-5281
Abbreviation : Eurasip J. Image Video Process.
Aims & Scope
EURASIP Journal on Image and Video Processing is intended for researchers from both academia and industry, who are active in the multidisciplinary field of image and video processing.
The scope of the journal covers all theoretical and practical aspects of the domain, from basic research to development of application.
Contributed articles on image and video processing may be focused on specific techniques (e.g., wavelets, mathematical morphology, Markov models), diverse functionalities and services (e.g., classification, compression, identification, protection, recognition, restoration and segmentation), within the context of various activity sectors.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 1.8 |
2024 | 2.00 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.426 |
Quartile
Year | Value |
---|---|
2024 | Q2 |
h-index
Year | Value |
---|---|
2024 | 57 |
Journal Rank
Year | Value |
---|---|
2024 | 13194 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 190 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Engineering, designed to support cutting-edge academic discovery.
Licensing & Copyright
This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.
Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.
Policy Links
This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.
- Aims scope
- Homepage
- Oa statement
- Author instructions
- License terms
- Review url
- Board url
- Copyright url
- Plagiarism url
- Preservation url
- Apc url
- License
Plagiarism Policy
This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.
For more details, please refer to our official: Plagiarism Policy.
APC Details
The journal’s Article Processing Charge (APC) policies support open access publishing in Computer Science and Engineering, ensuring accessibility and quality in research dissemination.
This journal requires an Article Processing Charge (APC) to support open access publishing, covering peer review, editing, and distribution. The current APC is 1,490.00 EUR. Learn more.
Explore journals without APCs for alternative publishing options.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics
Citation: 2003
Authors: Keni, Rainer
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Quality Assessment of Stereoscopic Images
Citation: 213
Authors: Alexandre, Patrick, Patrizio, Romain
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View Synthesis for Advanced 3D Video Systems
Citation: 147
Authors: Karsten, Aljoscha, Kristina, Philipp, Peter, Thomas
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Automatic Segmentation and Inpainting of Specular Highlights for Endoscopic Imaging
Citation: 78
Authors: Mirko, Anarta, Stefan, Gerard
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Face Recognition from Still Images to Video Sequences: A Local-Feature-Based Framework
Citation: 60
Authors: Shaokang, Sandra, Mehrtash T., Conrad, Abbas, Brian C.
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Background Subtraction via Robust Dictionary Learning
Citation: 57
Authors: Cong, Xiaogang, Wai-Kuen
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A Review and Comparison of Measures for Automatic Video Surveillance Systems
Citation: 52
Authors: Axel, Marco, Julia, Matthias, Hartmut S., Marcel, Wolfgang, Jan Karl, Jie
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A Low-Complexity Algorithm for Static Background Estimation from Cluttered Image Sequences in Surveillance Contexts
Citation: 42
Authors: Vikas, Conrad, Brian C.