Special Issue "Physics-based Computer Vision: Color and Photometry"

A special issue of Journal of Imaging (ISSN 2313-433X).

Deadline for manuscript submissions: 30 November 2018

Special Issue Editor

Guest Editor
Dr. Daisuke Miyazaki

Image Media Engineering and Computer Graphics Laboratory, Dept. of Intelligent Systems, Graduate School of Information Sciences, Hiroshima City University, Hiroshima Prefecture 731-3194, Japan
Website | E-Mail
Interests: computer vision; polarization; multispectral imaging; shape estimation

Special Issue Information

Dear Colleagues,

Color and photometry are two of the most important attributes of the natural environment. Light is an electromagnetic wave radiated form, for example, thermal sources or emissions caused by a transition from a high energy state to a lower energy state. When light interacts with materials, it reflects, transmits, scatters, polarizes, or is absorbed. Camera sensors and human eyes receive light as a result of complicated physical phenomena. Physics-based vision is a research topic that analyzes physical phenomena in order to extract rich information from the scene. Recent growth of image sensors and computational tools have expanded the field of computer vision. Such innovation in terms of both hardware and software also provide rapid progress in the physics-based vision field.

The objective of this Special Issue is to provide opportunities to share new insights with researchers in various fields that will contribute to a future roadmap of physics-based vision. Papers must be original research of novel results or a suitable review of the current state-of-the-art.

Dr. Daisuke Miyazaki
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. 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) is waived for well-prepared manuscripts submitted to this issue. 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

  • Polarization
  • Scattering
  • Dehazing
  • Deweathering
  • Fluorescent substance
  • Material recognition
  • Relighting
  • Shadow removal
  • Illumination estimation
  • Photometric stereo
  • BRDF
  • Color constancy
  • Recoloring for dichromats
  • Infrared light
  • Hyperspectral image
  • Metamerism

Published Papers (1 paper)

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Research

Open AccessArticle Adaptive Multi-Scale Entropy Fusion De-Hazing Based on Fractional Order
J. Imaging 2018, 4(9), 108; https://doi.org/10.3390/jimaging4090108
Received: 21 July 2018 / Revised: 29 August 2018 / Accepted: 31 August 2018 / Published: 6 September 2018
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Abstract
This paper describes a proposed fractional filter-based multi-scale underwater and hazy image enhancement algorithm. The proposed system combines a modified global contrast operator with fractional order-based multi-scale filters used to generate several images, which are fused based on entropy and standard deviation. The
[...] Read more.
This paper describes a proposed fractional filter-based multi-scale underwater and hazy image enhancement algorithm. The proposed system combines a modified global contrast operator with fractional order-based multi-scale filters used to generate several images, which are fused based on entropy and standard deviation. The multi-scale-global enhancement technique enables fully adaptive and controlled color correction and contrast enhancement without over exposure of highlights when processing hazy and underwater images. This in addition to the illumination/reflectance estimation coupled with global and local contrast enhancement. The proposed algorithm is also compared with the most recent available state-of-the-art multi-scale fusion de-hazing algorithm. Experimental comparisons indicate that the proposed approach yields a better edge and contrast enhancement results without a halo effect, without color degradation, and is faster and more adaptive than all other algorithms from the literature. Full article
(This article belongs to the Special Issue Physics-based Computer Vision: Color and Photometry)
Figures

Figure 1

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Author: Mark Quinn
Affiliation: University of Manchester, UK

Author: Akbar Sheikh Akbari
Affiliation: Leeds Beckett University, UK

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