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Journal of Imaging, Volume 5, Issue 10

2019 October - 6 articles

Cover Story: Underwater images captured at deep water sites where artificial lighting is employed often possess dark regions that can hide valuable information which is critical for automated and manual imagery analysis. We proposed a single-image framework that uses a novel contrast-guided technique, along with the dark channel prior-based dehazing mechanism, to greatly enhance the visibility and overall quality of low-lighting underwater images. A new openly-accessible dataset, OceanDark, provides examples of scenes to which the method is applied and serves as a basis for evaluation. The proposed method’s efficacy is highlighted in a comparison with four state-of-the-art image enhancing frameworks. View this paper
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Articles (6)

  • Article
  • Open Access
7 Citations
6,734 Views
25 Pages

21 October 2019

Human action recognition (HAR) is an important yet challenging task. This paper presents a novel method. First, fuzzy weight functions are used in computations of depth motion maps (DMMs). Multiple length motion information is also used. These featur...

  • Article
  • Open Access
61 Citations
9,774 Views
28 Pages

Automatic Inspection of Aeronautical Mechanical Assemblies by Matching the 3D CAD Model and Real 2D Images

  • Hamdi Ben Abdallah,
  • Igor Jovančević,
  • Jean-José Orteu and
  • Ludovic Brèthes

19 October 2019

In the aviation industry, automated inspection is essential for ensuring quality of production. It allows acceleration of procedures for quality control of parts or mechanical assemblies. As a result, the demand of intelligent visual inspection syste...

  • Article
  • Open Access
81 Citations
8,865 Views
24 Pages

A Contrast-Guided Approach for the Enhancement of Low-Lighting Underwater Images

  • Tunai Porto Marques,
  • Alexandra Branzan Albu and
  • Maia Hoeberechts

1 October 2019

Underwater images are often acquired in sub-optimal lighting conditions, in particular at profound depths where the absence of natural light demands the use of artificial lighting. Low-lighting images impose a challenge for both manual and automated...

  • Article
  • Open Access
6 Citations
5,325 Views
10 Pages

Tip Crack Imaging on Transparent Materials by Digital Holographic Microscopy

  • Wen-Jing Zhou,
  • Bo-Yu Li,
  • Hong-Xia Shen,
  • Deng-Ke He,
  • Hong-Bo Zhang,
  • Ying-Jie Yu and
  • Vivi Tornari

1 October 2019

With this study, we propose a method to image the tip crack on transparent materials by using digital holographic microscopy. More specifically, an optical system based on Mach–Zehnder interference along with an inverted microscopy (Olympus CKX...

  • Article
  • Open Access
35 Citations
17,887 Views
27 Pages

Overview and Empirical Analysis of ISP Parameter Tuning for Visual Perception in Autonomous Driving

  • Lucie Yahiaoui,
  • Jonathan Horgan,
  • Brian Deegan,
  • Senthil Yogamani,
  • Ciarán Hughes and
  • Patrick Denny

24 September 2019

Image quality is a well understood concept for human viewing applications, particularly in the multimedia space, but increasingly in an automotive context as well. The rise in prominence of autonomous driving and computer vision brings to the fore re...

  • Article
  • Open Access
5 Citations
5,001 Views
23 Pages

23 September 2019

This paper presents a new, normalized measure for assessing a contour-based object pose. Regarding binary images, the algorithm enables supervised assessment of known-object recognition and localization. A performance measure is computed to quantify...

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J. Imaging - ISSN 2313-433X