sensors-logo

Journal Browser

Journal Browser

Digital Image Processing and Sensing Technologies—Second Edition

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".

Deadline for manuscript submissions: 20 May 2025 | Viewed by 734

Special Issue Editors


E-Mail Website
Guest Editor
EuroMov Digital Health in Motion, Univ Montpellier, IMT Mines Ales, 30100 Ales, France
Interests: image processing; multimedia security; digital images and videos; edge detection; computer vision
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Media Integration and Communication Center (MICC) & Department of Information Engineering (DINFO), University of Firenze, Via S. Marta 3, 50139 Firenze, Italy
Interests: multimedia; 3D computer vision; articifial intelligence
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
College of Arts and Sciences, University of Nizwa, Nizwa 616, Oman
Interests: image processing information hiding; watermarking and steganography; data science/analytics; theoretical computer science; machine learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Following the success of the previous Special Issue “Digital Image Processing and Sensing Technologies” (https://www.mdpi.com/journal/sensors/special_issues/1F1WGCGQW1), we are pleased to announce the next in the series, entitled “Digital Image Processing and Sensing Technologies—Second Edition”. 

Thanks to new technologies, digital images and videos form part of our daily routine, allowing for the easy capture and diffusion of visual information. Digital image processing (DIP) encompasses a broad spectrum of applications, especially manipulations of digital images in the context of computer-aided automation. The boundary between DIP and computer vision (CV) is vague and may thus encompass, in addition to core processing tasks, areas such as image understanding, feature extraction, detection, pattern recognition, object detection, and so on. Moreover, multimedia (image, video, audio, text, 3D, etc.) security, in the form of copyrighting, watermarking, and image encryption, is an important aspect of modern communication. Today, digital image/video processing quintessentially contributes to almost every field, ranging from medicine, astronomy, microscopy, and defense to biology, industry, robotics, security, remote sensing, and so on. This Special Issue aims to collect papers on state-of-the-art DIP and CV, with topics of interest including (but not limited to) the following: 

  • Image acquisition;
  • Image analysis;
  • Digital image forensics;
  • Multimedia security (image and video);
  • Digital image watermarking;
  • Machine learning in DIP;
  • Image-based data hiding;
  • Image filtering;
  • Feature extraction;
  • Edge detection;
  • Corner extraction;
  • Keypoint detection;
  • Feature descriptor;
  • Image segmentation;
  • image compression;
  • Pattern recognition.

Dr. Baptiste Magnier
Dr. Stefano Berretti
Dr. Jean-Baptiste Thomas
Dr. Khizar Hayat
Guest Editors

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 submissions that pass pre-check are 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. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). 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

  • image acquisition
  • image analysis
  • digital image forensics
  • multimedia security (image and video)
  • digital image watermarking
  • machine learning in DIP
  • image-based data hiding
  • image filtering
  • feature extraction
  • edge detection
  • corner extraction
  • keypoint detection
  • feature descriptor
  • image segmentation
  • image compression
  • pattern recognition

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Related Special Issue

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

24 pages, 11011 KiB  
Article
Assessment of the Film-Free Water Decal Method for Speckle Pattern Application in Digital Image Correlation
by Anna Camille Sanchez and Dong-Keon Kim
Sensors 2024, 24(17), 5657; https://doi.org/10.3390/s24175657 - 30 Aug 2024
Viewed by 409
Abstract
Digital Image Correlation (DIC) often encounters challenges with variability and consistency in traditional speckle pattern application techniques, such as spray-painting, affecting measurement accuracy and reliability. This study evaluates a film-free water decal method as an alternative for applying speckle patterns in DIC. SS275 [...] Read more.
Digital Image Correlation (DIC) often encounters challenges with variability and consistency in traditional speckle pattern application techniques, such as spray-painting, affecting measurement accuracy and reliability. This study evaluates a film-free water decal method as an alternative for applying speckle patterns in DIC. SS275 structural steel specimens were prepared with speckle patterns using both the film-free water decal method and traditional spray-painting. The quality of the speckle patterns was assessed, and their effectiveness for DIC was evaluated through tensile testing and a comparison with strain gauge measurements. The film-free water decal method provided enhanced control over speckle pattern application, resulting in high-quality, consistent patterns. Strain measurements obtained using this method closely matched those from traditional methods, confirming its reliability. The film-free water decal method offers a practical and reliable alternative to spray-painting, improving the consistency and accuracy of DIC experiments, with potential applications in various engineering and scientific fields. Full article
(This article belongs to the Special Issue Digital Image Processing and Sensing Technologies—Second Edition)
Show Figures

Figure 1

Back to TopTop