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<p>Special Issue <b>"Color & Spectral Sensors" </b>at Sensors<br>
</p>
<p>Deadline for manuscript submissions: <b><u>31 March 2020</u></b><br>
</p>
<p>Sensors (ISSN 1424-8220) has an impact factor of 3.031 (2018
Journal Impact Factor) and it is ranked 15/61 at 'Instruments and
Instrumentation'. It is ranked 9/123 in 'Physics and Astronomy:
Instrumentation' and 102/661 in 'Electrical and Electronic
Engineering', according to<strong style="box-sizing: border-box;
font-weight: 700; line-height: inherit; max-height: 1e+06px;"> </strong><span
style="box-sizing: border-box; line-height: inherit; max-height:
1000000px;">CiteScore</span><strong style="box-sizing:
border-box; font-weight: 700; line-height: inherit; max-height:
1e+06px;"><span> </span></strong>(2018 Scopus data).</p>
<p>Keywords<br>
</p>
<ul>
<li>recent optical sensor technologies: plasmonic-based devices,
coded-aperture systems, snapshot, scanning sensors, multilayer
sensors, sparse sensors, HDR, and others.</li>
<li>application domains: spectral reconstruction, object
recognition, underwater, biomedical applications, aids for the
visually impaired, depth and stereo, color constancy, cultural
heritage and art, HDR, robotic vision, food analysis,
agriculture, waste sorting, and others.</li>
<li>demosaicing algorithms for color/spectral imaging</li>
<li>imaging sensors calibration</li>
<li>band optimization algorithms for spectral imaging</li>
<li>multiband fusion/blending</li>
<li>deep-learning applied to spectral image analysis and
optimization of imaging systems</li>
</ul>
<p>Dear Colleagues,<br>
Image sensors, which are among the most important components
inside digital imaging systems, convert the incoming light into an
electrical signal that can be viewed, analyzed, or stored. Thanks
to color sensors based on primary color channels (red, green, and
blue), color imaging has been widely applied in general digital
imaging. When an imaging device is able to capture between three
and twelve channels or spectral bands, it is usually considered a
multispectral imager. If the number of spectral bands is
relatively high, the device can then be considered a hyperspectral
imager. Technological advances in image sensors and spectral
filtering (i.e., plasmons, coded aperture, scanning sensors,
multilayer sensors, etc.) have allowed the proliferation of color,
multispectral, and hyperspectral imaging systems for image capture
in a wide range of fields, such as medicine, remote sensing,
biology, cosmetics, quality control, surveillance, food industry,
art observation, cultural heritage, and art, just to name a few.
The present Special Issue on “Color and spectral sensors” aims to
present recent advances in new optical sensor technologies and in
the development of new techniques for processing color and/or
spectral information and to demonstrate their potential for
different applications, according, but not limited to, the list of
keywords below. In addition to original research papers with novel
findings, review articles describing the current state of the art
and future perspectives are invited.<br>
<br>
Prof. Dr. Javier Hernández-Andrés<br>
Prof. Dr. Eva M. Valero Benito<br>
Dr. Miguel A. Martínez-Domingo<br>
Guest Editors<br>
</p>
<p><a
href="https://www.mdpi.com/journal/sensors/special_issues/CSSensors"
moz-do-not-send="true">https://www.mdpi.com/journal/sensors/special_issues/CSSensors</a></p>
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