Journal of Sensors

Image Enlargement Using Multiple Sensors


Lead Editor

1Sichuan University, Chengdu, China

2Incheon National University, Incheon, Republic of Korea

3Università degli Studi di Milano, Milan, Italy

4University of Ottawa, Ottawa, USA

Image Enlargement Using Multiple Sensors


Image sensing is generally performed with multiple spectral sensors. For example, combination of three sensors (red, green, and blue) is used for color image reproduction, and electrooptical and infrared sensors are used for surveillance and satellite imaging, respectively. The resolution of each sensor can be intensified by taking the other sensors into account and applying correlations between different sensors. There are various successful applications of image enlargement using multiple sensors. However, there still are several open issues in sensor processing which can be explained by signal processing-based image enlargement using redundancy among the sensors.

The scope of this special issue is to collect original papers on various aspects of image enlargement using multiple sensors, including theory, experiments, integration, and applications. We invite researchers to contribute original research articles as well as review articles that will stimulate the continuing efforts to understand the recently developed image enlargement using multiple sensors.

Potential topics include, but are not limited to:

  • Multisensor super resolution
  • Color filter array design for single sensor imaging
  • Filter design for multispectral sensor
  • Super resolution for remote sensing or infrared image
  • Signal processing techniques for multispectral sensor data
  • Application tool for single-sensor and multisensor collaboration
  • Cost efficient multisensor interpretation
  • Denoising for noisy sensor data
  • Optical crosstalk removal for sensor data
Journal of Sensors
 Journal metrics
See full report
Acceptance rate53%
Submission to final decision47 days
Acceptance to publication22 days
Journal Citation Indicator0.500
Impact Factor2.336

Article of the Year Award: Outstanding research contributions of 2021, as selected by our Chief Editors. Read the winning articles.