Journal of Sensors

Image Enlargement Using Multiple Sensors


Status
Published

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

Description

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

Articles

  • Special Issue
  • - Volume 2016
  • - Article ID 1498796
  • - Editorial

Image Enlargement Using Multiple Sensors

Wei Wu | Marco Anisetti | ... | Gwanggil Jeon
  • Special Issue
  • - Volume 2016
  • - Article ID 4935694
  • - Research Article

Spectrogram Image Analysis of Error Signals for Minimizing Impulse Noise

Jeakwan Kim | Yunseon Choi | Young-Sup Lee
  • Special Issue
  • - Volume 2016
  • - Article ID 2019569
  • - Research Article

An Edge-Preserved Image Denoising Algorithm Based on Local Adaptive Regularization

Li Guo | Weilong Chen | ... | Jun Li
  • Special Issue
  • - Volume 2016
  • - Article ID 7036349
  • - Research Article

Multiscale and Multitopic Sparse Representation for Multisensor Infrared Image Superresolution

Xiaomin Yang | Kai Liu | ... | Binyu Yan
  • Special Issue
  • - Volume 2016
  • - Article ID 6276828
  • - Research Article

Active Suppression of Narrowband Noise by Multiple Secondary Sources

Seokhoon Ryu | Yun Jung Park | Young-Sup Lee
  • Special Issue
  • - Volume 2016
  • - Article ID 7281031
  • - Research Article

A Tile-Based EGPU with a Fused Universal Processing Engine and Graphics Coprocessor Cluster

Yang Wang | Li Zhou | ... | Shaotao Sun
  • Special Issue
  • - Volume 2016
  • - Article ID 3894832
  • - Research Article

Visibility Enhancement of Scene Images Degraded by Foggy Weather Conditions with Deep Neural Networks

Farhan Hussain | Jechang Jeong
  • Special Issue
  • - Volume 2016
  • - Article ID 5491341
  • - Research Article

Facial Feature Extraction Using Frequency Map Series in PCNN

Rencan Nie | Dongming Zhou | ... | Jiefu Yu
  • Special Issue
  • - Volume 2016
  • - Article ID 9721820
  • - Research Article

RS485 Image Sensor for Digital Cinema System

Eunju Kim | Seokhoon Kang | Sangsoon Lee
  • Special Issue
  • - Volume 2016
  • - Article ID 1350750
  • - Research Article

Feature Coverage Indexes for Dual Homography Estimation in Constructing Panorama Image

Kyungkoo Jun | Sijung Kim
Journal of Sensors
 Journal metrics
Acceptance rate30%
Submission to final decision78 days
Acceptance to publication38 days
CiteScore4.100
Journal Citation Indicator0.450
Impact Factor2.137
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