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Journal of Imaging, Volume 8, Issue 6

2022 June - 25 articles

Cover Story: Digital holography is well adapted to measure any modifications related to any objects. The method refers to digital holographic interferometry where the phase change between two states of the object is of interest. However, the phase images are corrupted by the speckle decorrelation noise. In this paper, we address the question of de-noising in holographic interferometry when phase data are polluted with speckle noise. We present a new database of phase fringe images for the evaluation of de-noising algorithms in digital holography. In this database, the simulated phase maps present characteristics such as the size of the speckle grains and the noise level of the fringes which can be controlled by the generation process. View this paper
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Articles (25)

  • Review
  • Open Access
18 Citations
5,423 Views
17 Pages

Nonlinear Reconstruction of Images from Patterns Generated by Deterministic or Random Optical Masks—Concepts and Review of Research

  • Daniel Smith,
  • Shivasubramanian Gopinath,
  • Francis Gracy Arockiaraj,
  • Andra Naresh Kumar Reddy,
  • Vinoth Balasubramani,
  • Ravi Kumar,
  • Nitin Dubey,
  • Soon Hock Ng,
  • Tomas Katkus and
  • Vijayakumar Anand
  • + 15 authors

Indirect-imaging methods involve at least two steps, namely optical recording and computational reconstruction. The optical-recording process uses an optical modulator that transforms the light from the object into a typical intensity distribution. T...

  • Article
  • Open Access
10 Citations
5,108 Views
24 Pages

With the development of digital imaging techniques, image quality assessment methods are receiving more attention in the literature. Since distortion-free versions of camera images in many practical, everyday applications are not available, the need...

  • Article
  • Open Access
2 Citations
3,465 Views
13 Pages

Evaluation of STIR Library Adapted for PET Scanners with Non-Cylindrical Geometry

  • Viet Dao,
  • Ekaterina Mikhaylova,
  • Max L. Ahnen,
  • Jannis Fischer,
  • Kris Thielemans and
  • Charalampos Tsoumpas

Software for Tomographic Image Reconstruction (STIR) is an open source C++ library used to reconstruct single photon emission tomography and positron emission tomography (PET) data. STIR has an experimental scanner geometry modelling feature to accur...

  • Article
  • Open Access
11 Citations
2,926 Views
12 Pages

Zero-Shot Learning (ZSL) is related to training machine learning models capable of classifying or predicting classes (labels) that are not involved in the training set (unseen classes). A well-known problem in Deep Learning (DL) is the requirement fo...

  • Article
  • Open Access
23 Citations
5,717 Views
11 Pages

A Deep-Learning Model for Real-Time Red Palm Weevil Detection and Localization

  • Majed Alsanea,
  • Shabana Habib,
  • Noreen Fayyaz Khan,
  • Mohammed F. Alsharekh,
  • Muhammad Islam and
  • Sheroz Khan

Background and motivation: Over the last two decades, particularly in the Middle East, Red Palm Weevils (RPW, Rhynchophorus ferruginous) have proved to be the most destructive pest of palm trees across the globe. Problem: The RPW has caused considera...

  • Article
  • Open Access
11 Citations
4,027 Views
9 Pages

Colon polyps, small clump of cells on the lining of the colon, can lead to colorectal cancer (CRC), one of the leading types of cancer globally. Hence, early detection of these polyps automatically is crucial in the prevention of CRC. The deep learni...

  • Article
  • Open Access
6 Citations
3,751 Views
19 Pages

Estimating Muscle Activity from the Deformation of a Sequential 3D Point Cloud

  • Hui Niu,
  • Takahiro Ito,
  • Damien Desclaux,
  • Ko Ayusawa,
  • Yusuke Yoshiyasu,
  • Ryusuke Sagawa and
  • Eiichi Yoshida

Estimation of muscle activity is very important as it can be a cue to assess a person’s movements and intentions. If muscle activity states can be obtained through non-contact measurement, through visual measurement systems, for example, muscle...

  • Article
  • Open Access
46 Citations
6,068 Views
13 Pages

Secure Image Encryption Using Chaotic, Hybrid Chaotic and Block Cipher Approach

  • Nirmal Chaudhary,
  • Tej Bahadur Shahi and
  • Arjun Neupane

Secure image transmission is one of the most challenging problems in the age of communication technology. Millions of people use and transfer images for either personal or commercial purposes over the internet. One way of achieving secure image trans...

  • Article
  • Open Access
4 Citations
3,413 Views
21 Pages

The main purpose of this paper is the study of the correlations between Image Aesthetic (IA) and Image Naturalness (IN) and the analysis of the influence of IA and IN on Image Quality (IQ) in different contexts. The first contribution is a study abou...

  • Article
  • Open Access
7 Citations
3,378 Views
11 Pages

Deep Learning Network for Speckle De-Noising in Severe Conditions

  • Marie Tahon,
  • Silvio Montrésor and
  • Pascal Picart

Digital holography is well adapted to measure any modifications related to any objects. The method refers to digital holographic interferometry where the phase change between two states of the object is of interest. However, the phase images are corr...

  • Article
  • Open Access
2 Citations
3,570 Views
27 Pages

Fabrication of Black Body Grids by Thick Film Printing for Quantitative Neutron Imaging

  • Martin Wissink,
  • Kirk Goldenberger,
  • Luke Ferguson,
  • Yuxuan Zhang,
  • Hassina Bilheux,
  • Jacob LaManna,
  • David Jacobson,
  • Michael Kass,
  • Charles Finney and
  • Jonathan Willocks

Neutron imaging offers deep penetration through many high-Z materials while also having high sensitivity to certain low-Z isotopes such as 1H, 6Li, and 10B. This unique combination of properties has made neutron imaging an attractive tool for a wide...

  • Article
  • Open Access
38 Citations
7,631 Views
27 Pages

With a wide range of applications, image segmentation is a complex and difficult preprocessing step that plays an important role in automatic visual systems, which accuracy impacts, not only on segmentation results, but directly affects the effective...

  • Article
  • Open Access
9 Citations
6,020 Views
14 Pages

Ultraviolet (UV) fluorescence is a valuable tool for the imaging of a wide range of subjects. Like all imaging techniques, the key to success depends on the correct choice of equipment and approach used. In fluorescence photography, a filter is place...

  • Article
  • Open Access
3 Citations
4,719 Views
11 Pages

Detection Rate and Variability in Measurement of Mandibular Incisive Canal on Cone-Beam Computed Tomography: A Study of 220 Dentate Hemi-Mandibles from Italy

  • Andrea Borghesi,
  • Diego Di Salvo,
  • Pietro Ciolli,
  • Teresa Falcone,
  • Marco Ravanelli,
  • Davide Farina and
  • Nicola Carapella

The mandibular incisive canal (MIC) is a small bony channel located in the interforaminal region; it represents the anterior continuation of the mandibular canal. Cone-beam computed tomography (CBCT) is the most commonly utilized radiological techniq...

  • Article
  • Open Access
31 Citations
7,056 Views
18 Pages

No-reference image quality assessment (NR-IQA) methods automatically and objectively predict the perceptual quality of images without access to a reference image. Therefore, due to the lack of pristine images in most medical image acquisition systems...

  • Review
  • Open Access
5 Citations
4,862 Views
18 Pages

Attention-Setting and Human Mental Function

  • Thomas Sanocki and
  • Jong Han Lee

This article provides an introduction to experimental research on top-down human attention in complex scenes, written for cognitive scientists in general. We emphasize the major effects of goals and intention on mental function, measured with behavio...

  • Article
  • Open Access
9 Citations
3,807 Views
43 Pages

Atmospheric Correction for High-Resolution Shape from Shading on Mars

  • Marcel Hess,
  • Moritz Tenthoff,
  • Kay Wohlfarth and
  • Christian Wöhler

Digital Elevation Models (DEMs) of planet Mars are crucial for many remote sensing applications and for landing site characterization of rover missions. Shape from Shading (SfS) is known to work well as a complementary method to greatly enhance the q...

  • Article
  • Open Access
4 Citations
2,948 Views
18 Pages

Embedded Quantitative MRI T Mapping Using Non-Linear Primal-Dual Proximal Splitting

  • Matti Hanhela,
  • Antti Paajanen,
  • Mikko J. Nissi and
  • Ville Kolehmainen

Quantitative MRI (qMRI) methods allow reducing the subjectivity of clinical MRI by providing numerical values on which diagnostic assessment or predictions of tissue properties can be based. However, qMRI measurements typically take more time than an...

  • Article
  • Open Access
7 Citations
3,948 Views
25 Pages

Low-Cost Probabilistic 3D Denoising with Applications for Ultra-Low-Radiation Computed Tomography

  • Illia Horenko,
  • Lukáš Pospíšil,
  • Edoardo Vecchi,
  • Steffen Albrecht,
  • Alexander Gerber,
  • Beate Rehbock,
  • Albrecht Stroh and
  • Susanne Gerber

We propose a pipeline for synthetic generation of personalized Computer Tomography (CT) images, with a radiation exposure evaluation and a lifetime attributable risk (LAR) assessment. We perform a patient-specific performance evaluation for a broad r...

  • Article
  • Open Access
25 Citations
4,940 Views
19 Pages

In the past years, Deep Neural Networks (DNNs) have become popular in many disciplines such as Computer Vision (CV), and the evolution of hardware has helped researchers to develop many powerful Deep Learning (DL) models to deal with several problems...

  • Article
  • Open Access
3,045 Views
18 Pages

Evaluating the Influence of ipRGCs on Color Discrimination

  • Masaya Ohtsu,
  • Akihiro Kurata,
  • Keita Hirai,
  • Midori Tanaka and
  • Takahiko Horiuchi

To investigate the influence of intrinsically photosensitive retinal ganglion cells (ipRGCs) on color discrimination, it is necessary to create two metameric light stimuli (metameric ipRGC stimuli) with the same amount of cone and rod stimulation, bu...

  • Review
  • Open Access
82 Citations
15,771 Views
19 Pages

A Structured and Methodological Review on Vision-Based Hand Gesture Recognition System

  • Fahmid Al Farid,
  • Noramiza Hashim,
  • Junaidi Abdullah,
  • Md Roman Bhuiyan,
  • Wan Noor Shahida Mohd Isa,
  • Jia Uddin,
  • Mohammad Ahsanul Haque and
  • Mohd Nizam Husen

Researchers have recently focused their attention on vision-based hand gesture recognition. However, due to several constraints, achieving an effective vision-driven hand gesture recognition system in real time has remained a challenge. This paper ai...

  • Article
  • Open Access
6 Citations
3,894 Views
16 Pages

Coded DNN Watermark: Robustness against Pruning Models Using Constant Weight Code

  • Tatsuya Yasui,
  • Takuro Tanaka,
  • Asad Malik and
  • Minoru Kuribayashi

Deep Neural Network (DNN) watermarking techniques are increasingly being used to protect the intellectual property of DNN models. Basically, DNN watermarking is a technique to insert side information into the DNN model without significantly degrading...

  • Article
  • Open Access
2 Citations
2,984 Views
19 Pages

Bladder Wall Segmentation and Characterization on MR Images: Computer-Aided Spina Bifida Diagnosis

  • Rania Trigui,
  • Mouloud Adel,
  • Mathieu Di Bisceglie,
  • Julien Wojak,
  • Jessica Pinol,
  • Alice Faure and
  • Kathia Chaumoitre

(1) Background: Segmentation of the bladder inner’s wall and outer boundaries on Magnetic Resonance Images (MRI) is a crucial step for the diagnosis and the characterization of the bladder state and function. This paper proposes an optimized sy...

  • Article
  • Open Access
9 Citations
3,977 Views
22 Pages

IR Reflectography, Pulse-Compression Thermography, MA-XRF, and Radiography: A Full-Thickness Study of a 16th-Century Panel Painting Copy of Raphael

  • Tiziana Cavaleri,
  • Claudia Pelosi,
  • Marco Ricci,
  • Stefano Laureti,
  • Francesco Paolo Romano,
  • Claudia Caliri,
  • Bernadette Ventura,
  • Stefania De Blasi and
  • Marco Gargano

The potential of any multi-analytical and non-invasive approach to the study of cultural heritage, both for conservation and scientific investigation purposes, is gaining increasing interest, and it was tested in this paper, focusing on the panel pai...

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J. Imaging - ISSN 2313-433X