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Journal of Imaging, Volume 6, Issue 3

2020 March - 8 articles

Cover Story: There are cases where the majority of depth values in a depth image captured by a HMD-mounted sensor are constrained because the depths of distal objects are not always captured. One ideal inpainting approach for depth images with very large missing areas, such as partial foreground depths, is to inpaint only the foreground. This study proposes a method to partially inpaint and reconstruct an RGB-D depth image to preserve foreground shapes. The proposed method consists of a smoothing process for noise reduction, filling defects by applying the hidden point removal operators to the foreground area and refining the filled depths. View this paper
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Articles (8)

  • Article
  • Open Access
6 Citations
8,363 Views
14 Pages

Semi-Automatic Tool for Vitiligo Detection and Analysis

  • Paolo Neri,
  • Michela Fiaschi and
  • Giovanni Menchini

Vitiligo vulgaris is an autoimmune disease which causes a strong reduction of the cells producing melanin, which is the main skin pigment. This results in the growth of white patches on patients’ skin, which are more or less visible, depending...

  • Article
  • Open Access
3 Citations
5,685 Views
13 Pages

Energy Resolved Neutron Imaging for Strain Reconstruction Using the Finite Element Method

  • Riya Aggarwal,
  • Michael H. Meylan,
  • Bishnu P. Lamichhane and
  • Chris M. Wensrich

A novel pulsed neutron imaging technique based on the finite element method is used to reconstruct the residual strain within a polycrystalline material from Bragg edge strain images. This technique offers the possibility of a nondestructive analysis...

  • Article
  • Open Access
4 Citations
4,251 Views
18 Pages

With the increase in life expectancy, one of the most important topic for scientific research, especially for the elderly, is good nutrition. In particular, with an advanced age and health issues because disorders such as Alzheimer and dementia, moni...

  • Article
  • Open Access
4 Citations
5,051 Views
39 Pages

Automated Harmonic Signal Removal Technique Using Stochastic Subspace-Based Image Feature Extraction

  • Muhammad Danial Bin Abu Hasan,
  • Zair Asrar Bin Ahmad,
  • Mohd Salman Leong and
  • Lim Meng Hee

This paper presents automated harmonic removal as a desirable solution to effectively identify and discard the harmonic influence over the output signal by neglecting any user-defined parameter at start-up and automatically reconstruct back to become...

  • Article
  • Open Access
3 Citations
5,034 Views
16 Pages

Depth sensors are important in several fields to recognize real space. However, there are cases where most depth values in a depth image captured by a sensor are constrained because the depths of distal objects are not always captured. This often occ...

  • Article
  • Open Access
87 Citations
13,941 Views
15 Pages

In recent years, the rise of car accident fatalities has grown significantly around the world. Hence, road security has become a global concern and a challenging problem that needs to be solved. The deaths caused by road accidents are still increasin...

  • Review
  • Open Access
80 Citations
12,664 Views
24 Pages

A Survey of Deep Learning-Based Source Image Forensics

  • Pengpeng Yang,
  • Daniele Baracchi,
  • Rongrong Ni,
  • Yao Zhao,
  • Fabrizio Argenti and
  • Alessandro Piva

Image source forensics is widely considered as one of the most effective ways to verify in a blind way digital image authenticity and integrity. In the last few years, many researchers have applied data-driven approaches to this task, inspired by the...

  • Article
  • Open Access
4 Citations
5,457 Views
21 Pages

Study of Subjective Data Integrity for Image Quality Data Sets with Consumer Camera Content

  • Jakub Nawała,
  • Margaret H. Pinson,
  • Mikołaj Leszczuk and
  • Lucjan Janowski

25 February 2020

We need data sets of images and subjective scores to develop robust no reference (or blind) visual quality metrics for consumer applications. These applications have many uncontrolled variables because the camera creates the original media and the im...

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J. Imaging - ISSN 2313-433X