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Special Issue "Snapshot Multi-Band Spectral and Polarization Imaging Systems"

A special issue of Sensors (ISSN 1424-8220).

Deadline for manuscript submissions: closed (31 October 2018)

Special Issue Editors

Guest Editor
Dr. Jean-Baptiste Thomas

The Norwegian Colour and Visual Computing Laboratory, NTNU, Norway
Website | E-Mail
Interests: color and spectral imaging from acquisition to reproduction, through technological aspects; physical measurements and human visual system understanding
Guest Editor
Prof. Jon Yngve Hardeberg

The Norwegian Colour and Visual Computing Laboratory, NTNU, Norway
Website | E-Mail
Interests: multispectral color imaging; print and image quality; colorimetric device characterization; cultural heritage imaging; medical imaging; appearance
Guest Editor
Prof. Dr. Dietrich Paulus

Computational Visualistics, University Koblenz-Landau, Germany
Website | E-Mail
Interests: computer vision; robot vision; color and multispectral imaging; medical image processing

Special Issue Information

Dear Colleagues,

Methods and technologies for snapshot, multi-band, spectral and polarization imaging have been researched for several decades, and, in recent years, systems have also been made commercially available.

By “snapshot, multi-band, spectral and polarization imaging”, we think mostly about optical image sensors embedded in a camera-type device, which provide an instantaneous capture of the scene under diverse modalities. We consider specifically multispectral, hyperspectral, polarization within the technology that provide snapshot capacity (spectral filter array, light field/plenoptic cameras, multi-camera setups, etc.). With the beginning of the commercialization of these products, there is a growing interest from end-users of these technologies to understand the nature of the information acquired, the limitations of the technology, and what future directions should be given to research. At the same time, for hardware manufacturers, as well as providers of processing and analysis systems, there is a need for standardization of acquisition and discussions on the quality aspects of such systems. In addition, a great deal of research has been carried out in the optical community to develop new modalities and technologies for optical filters in transmittance (i.e., plasmonic filters). Additionally, new application areas have appeared for such systems.

It seems that the time has come to focus a Special Issue on these topics, so that concerned persons can be aware of the different issues, achievements, and progress from different disciplines on one single issue.

Dr. Jean-Baptiste Thomas
Prof. Jon Yngve Hardeberg
Dr. Dietrich Paulus
Guest Editor

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 1800 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.

Keywords

  • Multi-band spectral and polarization imaging
  • Spectral sensors
  • Light field camera
  • Spectral filter array
  • Polarization imaging

Published Papers (4 papers)

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Research

Open AccessArticle Polarized Light Field Imaging for Single-Shot Reflectance Separation
Sensors 2018, 18(11), 3803; https://doi.org/10.3390/s18113803
Received: 9 August 2018 / Revised: 11 October 2018 / Accepted: 26 October 2018 / Published: 6 November 2018
Cited by 1 | PDF Full-text (11609 KB) | HTML Full-text | XML Full-text | Supplementary Files
Abstract
We present a novel computational photography technique for single-shot separation of diffuse/specular reflectance, as well as novel angular domain separation of layered reflectance. We present two imaging solutions for this purpose: two-way polarized light-field (TPLF) imaging and four-way polarized light-field (FPLF) imaging. TPLF [...] Read more.
We present a novel computational photography technique for single-shot separation of diffuse/specular reflectance, as well as novel angular domain separation of layered reflectance. We present two imaging solutions for this purpose: two-way polarized light-field (TPLF) imaging and four-way polarized light-field (FPLF) imaging. TPLF imaging consists of a polarized light-field camera, which simultaneously captures two orthogonal states of polarization. A single photograph of a subject acquired with the TPLF camera under polarized illumination then enables standard separation of diffuse (depolarizing) and polarization preserving specular reflectance using light-field sampling. We further demonstrate that the acquired data also enable novel angular separation of layered reflectance including separation of specular reflectance and single scattering in the polarization preserving component, as well as separation of shallow scattering from deep scattering in the depolarizing component. FPLF imaging further generalized the functionality of TPLF imaging under uncontrolled unpolarized or partially polarized illumination such as outdoors. We apply our approach for efficient acquisition of facial reflectance including diffuse and specular normal maps and novel separation of photometric normals into layered reflectance normals for layered facial renderings. We validate our proposed single-shot layered reflectance separation under various imaging conditions and demonstrate it to be comparable to an existing multi-shot technique that relies on structured lighting while achieving separation results under a variety of illumination conditions. Full article
(This article belongs to the Special Issue Snapshot Multi-Band Spectral and Polarization Imaging Systems)
Figures

Graphical abstract

Open AccessArticle Survey of Demosaicking Methods for Polarization Filter Array Images
Sensors 2018, 18(11), 3688; https://doi.org/10.3390/s18113688
Received: 19 September 2018 / Revised: 23 October 2018 / Accepted: 26 October 2018 / Published: 30 October 2018
Cited by 1 | PDF Full-text (5949 KB) | HTML Full-text | XML Full-text
Abstract
Snapshot polarization imaging has gained interest in the last few decades. Recent research and technology achievements defined the polarization Filter Array (PFA). It is dedicated to division-of-focal plane polarimeters, which permits to analyze the direction of light electric field oscillation. Its filters form [...] Read more.
Snapshot polarization imaging has gained interest in the last few decades. Recent research and technology achievements defined the polarization Filter Array (PFA). It is dedicated to division-of-focal plane polarimeters, which permits to analyze the direction of light electric field oscillation. Its filters form a mosaicked pattern, in which each pixel only senses a fraction of the total polarization states, so the other missing polarization states have to be interpolated. As for Color or Spectral Filter Arrays (CFA or SFA), several dedicated demosaicking methods exist in the PFA literature. Such methods are mainly based on spatial correlation disregarding inter-channel correlation. We show that polarization channels are strongly correlated in images. We therefore propose to extend some demosaicking methods from CFA/SFA to PFA, and compare them with those that are PFA-oriented. Objective and subjective analysis show that the pseudo panchromatic image difference method provides the best results and can be used as benchmark for PFA demosaicking. Full article
(This article belongs to the Special Issue Snapshot Multi-Band Spectral and Polarization Imaging Systems)
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Open AccessArticle Optimized Multi-Spectral Filter Array Based Imaging of Natural Scenes
Sensors 2018, 18(4), 1172; https://doi.org/10.3390/s18041172
Received: 2 March 2018 / Revised: 8 April 2018 / Accepted: 9 April 2018 / Published: 12 April 2018
PDF Full-text (2378 KB) | HTML Full-text | XML Full-text
Abstract
Multi-spectral imaging using a camera with more than three channels is an efficient method to acquire and reconstruct spectral data and is used extensively in tasks like object recognition, relighted rendering, and color constancy. Recently developed methods are used to only guide content-dependent [...] Read more.
Multi-spectral imaging using a camera with more than three channels is an efficient method to acquire and reconstruct spectral data and is used extensively in tasks like object recognition, relighted rendering, and color constancy. Recently developed methods are used to only guide content-dependent filter selection where the set of spectral reflectances to be recovered are known a priori. We present the first content-independent spectral imaging pipeline that allows optimal selection of multiple channels. We also present algorithms for optimal placement of the channels in the color filter array yielding an efficient demosaicing order resulting in accurate spectral recovery of natural reflectance functions. These reflectance functions have the property that their power spectrum statistically exhibits a power-law behavior. Using this property, we propose power-law based error descriptors that are minimized to optimize the imaging pipeline. We extensively verify our models and optimizations using large sets of commercially available wide-band filters to demonstrate the greater accuracy and efficiency of our multi-spectral imaging pipeline over existing methods. Full article
(This article belongs to the Special Issue Snapshot Multi-Band Spectral and Polarization Imaging Systems)
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Open AccessArticle Adaptive Residual Interpolation for Color and Multispectral Image Demosaicking
Sensors 2017, 17(12), 2787; https://doi.org/10.3390/s17122787
Received: 31 October 2017 / Revised: 24 November 2017 / Accepted: 29 November 2017 / Published: 1 December 2017
Cited by 4 | PDF Full-text (1214 KB) | HTML Full-text | XML Full-text
Abstract
Color image demosaicking for the Bayer color filter array is an essential image processing operation for acquiring high-quality color images. Recently, residual interpolation (RI)-based algorithms have demonstrated superior demosaicking performance over conventional color difference interpolation-based algorithms. In this paper, we propose adaptive residual [...] Read more.
Color image demosaicking for the Bayer color filter array is an essential image processing operation for acquiring high-quality color images. Recently, residual interpolation (RI)-based algorithms have demonstrated superior demosaicking performance over conventional color difference interpolation-based algorithms. In this paper, we propose adaptive residual interpolation (ARI) that improves existing RI-based algorithms by adaptively combining two RI-based algorithms and selecting a suitable iteration number at each pixel. These are performed based on a unified criterion that evaluates the validity of an RI-based algorithm. Experimental comparisons using standard color image datasets demonstrate that ARI can improve existing RI-based algorithms by more than 0.6 dB in the color peak signal-to-noise ratio and can outperform state-of-the-art algorithms based on training images. We further extend ARI for a multispectral filter array, in which more than three spectral bands are arrayed, and demonstrate that ARI can achieve state-of-the-art performance also for the task of multispectral image demosaicking. Full article
(This article belongs to the Special Issue Snapshot Multi-Band Spectral and Polarization Imaging Systems)
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