Special Issue "Computational Spectral Imaging"
Deadline for manuscript submissions: closed (20 October 2021).
Interests: remote sensing; image processing; signal processing; machine learning; mathematical morphology; data fusion; multivariate data analysis; hyperspectral imaging; pansharpening
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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.
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
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Computational imaging
- Hyperspectral and multispectral imaging
- Compressed sensing imaging
- Spectral filter arrays
- Sensor fusion
- Unconventional imaging sensors