Special Issue "Computational Spectral Imaging"
Deadline for manuscript submissions: 31 March 2021.
Tokyo Tech World Research Hub Initiative (WRHI), School of Computing, Tokyo Institute of Technology, Tokyo, Japan
Interests: computational imaging; image processing; signal processing; remote sensing; data fusion; hyperspectral imaging; pansharpening
Special Issues and Collections in MDPI journals
Special Issue in Remote Sensing: Spectral Unmixing of Hyperspectral Remote Sensing Imagery
Interests: Optical and Computational Imaging , High-dimensional Signal Coding and Processing, Deep Learning Based Optimization of Optical Imaging Systems, Compressive Spectral and Depth Imaging, Sparse and Low rank representation.
Interests: Signal Processing, Computational Imaging, Hyperspectral Imaging and Fusion, Mathematical Optimization
Computational spectral imaging devices acquire multi- and hyper-spectral images of a scene by leveraging image and signal processing techniques. Examples of computational imaging devices are multispectral sensors based on spectral filter arrays, hyperspectral cameras based on compressed sensing, Fourier transform spectrometers, light field cameras, and multimodal sensors. Computational systems overcome the limits of conventional imaging devices allowing, for example, to acquire images that simultaneously sample the spatial, depth, and spectral information of a scene (i.e., snapshot), achieve a higher spatial and spectral resolution, and even to access additional information of a scene (e.g., depth).
However, computational devices require typically more complex processing of the acquisitions, relying on advanced signal and image processing techniques (e.g., compressed sensing, inverse problems for image reconstruction, demosaicing, and image fusion).
This Special Issue focuses on computational approaches for the acquisition of spectral images, comprising topics such as:
- Diffractive optics computational imaging
- Codified spectral and depth imaging systems
- Learning-based optimization of optical imaging systems
- Super-resolution for spectral imaging
- Compressed sensing in hyperspectral imaging
- Processing of spectral snapshot acquisition devices
- Multispectral sensing based on color and spectral filter arrays
- Fourier transform interferometric imaging
- Fusion of multimodal sensors (pansharpening and hyperspectral-multispectral fusion)
- Multi- and hyper-spectral light field cameras
- Computational techniques for the analysis of multispectral and hyperspectral images
- Conception and design of computational spectral imaging devices
- Unconventional optical imaging systems
- Applications of computational spectral imaging devices in fields such as remote sensing, biomedical imagery, security, and defense.
Dr. Mauro Dalla Mura
Dr. Henry Arguello Fuentes
Dr. Shunsuke Ono
Manuscript Submission Information
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- Computational imaging
- Hyperspectral and multispectral imaging
- Compressed sensing imaging
- Spectral filter arrays
- Sensor fusion
- Unconventional imaging sensors