Special Issue "Advances in Color Imaging"

A special issue of Journal of Imaging (ISSN 2313-433X). This special issue belongs to the section "Color, Multi-spectral, and Hyperspectral Imaging".

Deadline for manuscript submissions: 31 October 2021.

Special Issue Editors

Dr. Vien Cheung
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Guest Editor
School of Design, University of Leeds, Leeds, Leeds LS2 9JT, UK
Interests: color vision; color science; cross-media reproduction; color management; spectral imaging; color design
Dr. Jean-Baptiste Thomas
E-Mail Website
Guest Editor
Department of Computer Science, Norwegian University of Science and Technology, 2806 Gjøvik, Norway
Interests: color and multispectral imaging; computational appearance
Special Issues and Collections in MDPI journals
Dr. Peter Rhodes
E-Mail Website
Guest Editor
School of Design, University of Leeds, Leeds LS2 9JT, UK
Interests: image capture and reproduction; color specification, management, and visualization; appearance measurement

Special Issue Information

Dear Colleagues,

Color imaging—spanning the capture, encoding, compression, and reproduction of color images—is an important part of today’s digital world. Decades of color imaging research have provided a solid foundation to enable a wide range of applications: appearance measurement, artwork archiving and restoration, computer gaming, security and camouflage imaging, multispectral or medical diagnosis, etc. Nevertheless, new technologies such as HDR imaging, wide color gamut, 3D printing, illumination, and immersive realities are rapidly developing to further enhance user experience. How do we make the most of comprehensive color imaging research understanding using these new technologies? The theme of this Special Issue of the Journal of Imaging is advances in color imaging. In addition to original research papers with novel findings and review articles describing the current state of the art, papers discussing outstanding issues that need scientific research and future research directions are invited. Transdisciplinary studies using or developing color imaging are also welcome.

Dr. Vien Cheung
Dr. Jean-Baptiste Thomas
Dr. Peter Rhodes
Guest Editors

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. Journal of Imaging is an international peer-reviewed open access monthly 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 1600 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.


  • Color vision and perception
  • Computational color and color coding
  • Color and material appearance modeling
  • Color in illumination and lighting
  • Image quality and visualization
  • Spectral imaging
  • Augmented reality (AR), virtual reality (VR), mixed reality (MR)

Published Papers (1 paper)

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Psychophysical Determination of the Relevant Colours That Describe the Colour Palette of Paintings
J. Imaging 2021, 7(4), 72; https://0-doi-org.brum.beds.ac.uk/10.3390/jimaging7040072 - 14 Apr 2021
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In an early study, the so-called “relevant colour” in a painting was heuristically introduced as a term to describe the number of colours that would stand out for an observer when just glancing at a painting. The purpose of this study is to [...] Read more.
In an early study, the so-called “relevant colour” in a painting was heuristically introduced as a term to describe the number of colours that would stand out for an observer when just glancing at a painting. The purpose of this study is to analyse how observers determine the relevant colours by describing observers’ subjective impressions of the most representative colours in paintings and to provide a psychophysical backing for a related computational model we proposed in a previous work. This subjective impression is elicited by an efficient and optimal processing of the most representative colour instances in painting images. Our results suggest an average number of 21 subjective colours. This number is in close agreement with the computational number of relevant colours previously obtained and allows a reliable segmentation of colour images using a small number of colours without introducing any colour categorization. In addition, our results are in good agreement with the directions of colour preferences derived from an independent component analysis. We show that independent component analysis of the painting images yields directions of colour preference aligned with the relevant colours of these images. Following on from this analysis, the results suggest that hue colour components are efficiently distributed throughout a discrete number of directions and could be relevant instances to a priori describe the most representative colours that make up the colour palette of paintings. Full article
(This article belongs to the Special Issue Advances in Color Imaging)
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