
Read the recent Special Issue on the Mathematical Foundations of Deep Learning in Imaging Science 62:3. View all volumes and issues via the link below.
Current developments in new image processing hardware, the advent of multisensor data fusion, and rapid advances in vision research have led to an explosive growth in the interdisciplinary field of imaging science. Emphasizing the role of mathematics as a rigorous basis for imaging science, this journal details innovative or established mathematical techniques applied to vision and imaging problems in a novel way. It also reports on new developments and problems in mathematics arising from these applications.
The scope of Journal of Mathematical Imaging and Vision includes:
- computational models of vision; imaging algebra and mathematical morphology
- mathematical methods in reconstruction, compactification, and coding
- filter theory
- probabilistic, statistical, geometric, topological, and fractal techniques and models in imaging science
- inverse optics
- wave theory.
This journal contains research articles, invited papers, and expository articles.
- Emphasizes the role of mathematics as a rigorous basis for imaging science
- Details innovative or established mathematical techniques applied to vision and imaging problems in a novel way
- Reports on new developments and problems in mathematics arising from these applications
- Contains research articles, invited papers, and expository articles
- 95% of authors who answered a survey reported that they would definitely publish or probably publish in the journal again
Journal information
- Editor-in-Chief
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- Joachim Weickert
- Publishing model
- Hybrid (Transformative Journal). Learn about publishing Open Access with us
Journal metrics
- 1.353 (2019)
- Impact factor
- 1.758 (2019)
- Five year impact factor
- 104 days
- Submission to first decision
- 301 days
- Submission to acceptance
- 102,753 (2020)
- Downloads
Latest issue
Latest articles
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Color Image Zero-Watermarking Using Accurate Quaternion Generalized Orthogonal Fourier–Mellin Moments
Authors (first, second and last of 5)
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About this journal
- Electronic ISSN
- 1573-7683
- Print ISSN
- 0924-9907
- Abstracted and indexed in
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- ACM Digital Library
- CNKI
- Current Contents/Engineering, Computing and Technology
- DBLP
- Dimensions
- EBSCO Applied Science & Technology Source
- EBSCO Computers & Applied Sciences Complete
- EBSCO Discovery Service
- EI Compendex
- Google Scholar
- INSPEC
- Institute of Scientific and Technical Information of China
- Japanese Science and Technology Agency (JST)
- Journal Citation Reports/Science Edition
- Mathematical Reviews
- Naver
- OCLC WorldCat Discovery Service
- ProQuest Advanced Technologies & Aerospace Database
- ProQuest Central
- ProQuest Engineering
- ProQuest Materials Science and Engineering Database
- ProQuest SciTech Premium Collection
- ProQuest Technology Collection
- ProQuest-ExLibris Primo
- ProQuest-ExLibris Summon
- SCImago
- SCOPUS
- Science Citation Index
- Science Citation Index Expanded (SciSearch)
- TD Net Discovery Service
- UGC-CARE List (India)
- zbMATH
- Copyright information
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