Topic Editors

1. Department of Computer Science, Norwegian University of Science and Technology, 2815 Gjøvik, Norway
2. Kobe Institute of Computing, Graduate School of Information Technology, Chuo-ku, Kobe 650-0001, Japan
1. Imagerie et Vision Artificielle (ImViA) Laboratory, Department Informatique, Electronique, Mécanique (IEM), Université Bourgogne Europe, 21000 Dijon, France
2. Department of Computer Science, NTNU—Norwegian University of Science and Technology, 2815 Gjøvik, Norway

New Advances in Multispectral Imaging Technology

Abstract submission deadline
31 January 2028
Manuscript submission deadline
31 March 2028
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Topic Information

Dear Colleagues,

Multispectral imaging (also known as reflectance imaging spectroscopy) has become an essential technology across a wide range of fields that rely on wavelength information extending beyond the visible spectrum. It captures images at multiple wavelengths, typically exceeding the three conventional spectral bands—red (R), green (G), and blue (B)—used in standard RGB imaging. This capability enables solutions to both fundamental and practical problems to be obtained. For example, while ordinary RGB cameras cannot satisfy the Luther condition required for accurate color matching with the human visual system, increasing the number of spectral bands makes it possible to meet this requirement.

Studies in object recognition and color constancy also depend on estimating spectral reflectance as a continuous-wavelength function inherent to object surfaces, which necessitates multispectral imaging systems. Because natural scenes contain rich electromagnetic information—including reflected and incident light spanning ultraviolet to infrared wavelengths—multispectral imaging allows for the extraction of details that are not accessible to the human eye.

This Topic highlights the latest advances in multispectral imaging research, covering a broad range of subjects including color science, agriculture, medical diagnosis, environmental monitoring, art and document analysis, computer vision and image processing, material appearance and identification, fluorescence analysis, industrial inspection, hyperspectral imaging, AI-based data analysis, sensor design, and spectroscopy.

Prof. Dr. Shoji Tominaga
Dr. Jean Baptiste Thomas
Topic Editors

Keywords

  • color science
  • computational imaging
  • image and signal processing
  • multispectral imaging
  • hyperspectral imaging
  • reflectance imaging spectroscopy
  • environmental measurement
  • medical imaging
  • machine learning
  • material appearance
  • sensor design
  • inverse problem
  • digital archiving

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Sensors
sensors
3.5 8.2 2001 17.8 Days CHF 2600 Submit
Electronics
electronics
2.6 6.1 2012 16.4 Days CHF 2400 Submit
Journal of Imaging
jimaging
3.3 6.7 2015 18 Days CHF 1800 Submit
Signals
signals
2.6 4.6 2020 21.8 Days CHF 1200 Submit
Optics
optics
1.6 2.6 2020 22.1 Days CHF 1400 Submit
Spectroscopy Journal
spectroscj
- - 2023 23.4 Days CHF 1000 Submit

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