You are currently viewing a new version of our website. To view the old version click .

Journal of Imaging, Volume 7, Issue 3

March 2021 - 20 articles

Cover Story: Visual features have experienced huge advances in the last decade. However, even in the era of deep learning, retrieval systems often perform comparisons by computing measures that consider only pairs of images and ignore the relevant information encoded in the relationships among images. To go beyond pairwise analysis, post-processing methods have been proposed. Among them, two categories can be highlighted as very representative: diffusion processes and rank-based approaches. In this paper, an efficient rank-based diffusion process is proposed, combining both approaches and avoiding the drawbacks of each. The method is capable of approximating a diffusion process based only on the top positions of ranked lists, while ensures its convergence. View this paper
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.

Articles (20)

  • Article
  • Open Access
5 Citations
4,292 Views
27 Pages

This paper presents an ontology that involves using information from various sources from different disciplines and combining it in order to predict whether a given person is in a radicalization process. The purpose of the ontology is to improve the...

  • Article
  • Open Access
74 Citations
10,773 Views
16 Pages

Copy-Move Forgery Detection (CMFD) Using Deep Learning for Image and Video Forensics

  • Yohanna Rodriguez-Ortega,
  • Dora M. Ballesteros and
  • Diego Renza

With the exponential growth of high-quality fake images in social networks and media, it is necessary to develop recognition algorithms for this type of content. One of the most common types of image and video editing consists of duplicating areas of...

  • Article
  • Open Access
5 Citations
3,933 Views
20 Pages

Calibration-Less Multi-Coil Compressed Sensing Magnetic Resonance Image Reconstruction Based on OSCAR Regularization

  • Loubna El Gueddari,
  • Chaithya Giliyar Radhakrishna,
  • Emilie Chouzenoux and
  • Philippe Ciuciu

Over the last decade, the combination of compressed sensing (CS) with acquisition over multiple receiver coils in magnetic resonance imaging (MRI) has allowed the emergence of faster scans while maintaining a good signal-to-noise ratio (SNR). Self-ca...

  • Review
  • Open Access
7 Citations
3,402 Views
12 Pages

NEURAP—A Dedicated Neutron-Imaging Facility for Highly Radioactive Samples

  • Eberhard Lehmann,
  • Knud Thomsen,
  • Markus Strobl,
  • Pavel Trtik,
  • Johannes Bertsch and
  • Yong Dai

NEURAP is a dedicated set-up at the Swiss neutron spallation source (SINQ) at the Paul Scherrer Institut (PSI), optionally implemented as a special configuration of the neutron-imaging station NEUTRA. It is one of very few instrumentations available...

  • Article
  • Open Access
2 Citations
3,285 Views
16 Pages

This article presents the smoothed shock filter, which iteratively produces local segmentations in image’s inflection zones with smoothed morphological operators (dilations, erosions). Hence, it enhances contours by creating smoothed ruptures, while...

  • Article
  • Open Access
16 Citations
4,851 Views
21 Pages

An Efficient Method for No-Reference Video Quality Assessment

  • Mirko Agarla,
  • Luigi Celona and
  • Raimondo Schettini

Methods for No-Reference Video Quality Assessment (NR-VQA) of consumer-produced video content are largely investigated due to the spread of databases containing videos affected by natural distortions. In this work, we design an effective and efficien...

  • Article
  • Open Access
11 Citations
4,987 Views
12 Pages

Geometry Calibration of a Modular Stereo Cone-Beam X-ray CT System

  • Van Nguyen,
  • Joaquim G. Sanctorum,
  • Sam Van Wassenbergh,
  • Joris J. J. Dirckx,
  • Jan Sijbers and
  • Jan De Beenhouwer

Compared to single source systems, stereo X-ray CT systems allow acquiring projection data within a reduced amount of time, for an extended field-of-view, or for dual X-ray energies. To exploit the benefit of a dual X-ray system, its acquisition geom...

  • Article
  • Open Access
20 Citations
3,832 Views
17 Pages

Analysis of Diagnostic Images of Artworks and Feature Extraction: Design of a Methodology

  • Annamaria Amura,
  • Alessandro Aldini,
  • Stefano Pagnotta,
  • Emanuele Salerno,
  • Anna Tonazzini and
  • Paolo Triolo

Digital images represent the primary tool for diagnostics and documentation of the state of preservation of artifacts. Today the interpretive filters that allow one to characterize information and communicate it are extremely subjective. Our research...

  • Review
  • Open Access
19 Citations
7,111 Views
45 Pages

Research on the effect of adverse weather conditions on the performance of vision-based algorithms for automotive tasks has had significant interest. It is generally accepted that adverse weather conditions reduce the quality of captured images and h...

  • Article
  • Open Access
50 Citations
6,107 Views
21 Pages

Two Ensemble-CNN Approaches for Colorectal Cancer Tissue Type Classification

  • Emanuela Paladini,
  • Edoardo Vantaggiato,
  • Fares Bougourzi,
  • Cosimo Distante,
  • Abdenour Hadid and
  • Abdelmalik Taleb-Ahmed

In recent years, automatic tissue phenotyping has attracted increasing interest in the Digital Pathology (DP) field. For Colorectal Cancer (CRC), tissue phenotyping can diagnose the cancer and differentiate between different cancer grades. The develo...

of 2

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
J. Imaging - ISSN 2313-433X