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Overview

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.

Editor-in-Chief
  • Jean-Michel Morel
Journal Impact Factor
1.3 (2023)
5-year Journal Impact Factor
1.6 (2023)
Submission to first decision (median)
12 days
Downloads
160,670 (2023)

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Electronic ISSN
1573-7683
Print ISSN
0924-9907
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  12. EI Compendex
  13. Google Scholar
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  15. Japanese Science and Technology Agency (JST)
  16. Mathematical Reviews
  17. Naver
  18. Norwegian Register for Scientific Journals and Series
  19. OCLC WorldCat Discovery Service
  20. Portico
  21. ProQuest
  22. SCImago
  23. SCOPUS
  24. Science Citation Index Expanded (SCIE)
  25. TD Net Discovery Service
  26. UGC-CARE List (India)
  27. WTI AG
  28. Wanfang
  29. zbMATH
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