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Digital Image Processing and Sensing Technologies—Third Edition

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

Deadline for manuscript submissions: 15 January 2027 | Viewed by 884

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
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

E-Mail Website
Guest Editor
EuroMov Digital Health in Motion, IMT Mines Ales, 30319 Ales, France
Interests: artificial intelligence; image processing; signal processing; data science; machine learning; embedded systems

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) and “Digital Image Processing and Sensing Technologies—Second Edition” (https://www.mdpi.com/journal/sensors/special_issues/GWO8H3Z9NC), we are pleased to announce the next in the series, entitled “Digital Image Processing and Sensing Technologies—Third Edition”.

Thanks to new technologies, digital images and videos are part of our daily routine, enabling the easy capture and dissemination 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, and object detection. Moreover, multimedia (image, video, audio, text, 3D, etc.) security, including 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;
  • Object tracking.

Dr. Baptiste Magnier
Dr. Khizar Hayat
Dr. Hamza Bayd
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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized 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 compression
  • pattern recognition
  • object tracking

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Published Papers (1 paper)

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Research

26 pages, 7759 KB  
Article
Image Formation and Resolution in Spatially Variant Coherent Imaging Systems
by Junchang Li, Chung-Hsuan Huang, Jinbin Gui, Chau-Jern Cheng and Han-Yen Tu
Sensors 2026, 26(12), 3733; https://doi.org/10.3390/s26123733 - 11 Jun 2026
Viewed by 662
Abstract
Since the invention of lasers, coherent imaging has been widely employed in digital holographic microscopy. Improving the resolution of the image field remains a key challenge for achieving high-precision measurements. However, due to the high coherence of the laser, the resolution of the [...] Read more.
Since the invention of lasers, coherent imaging has been widely employed in digital holographic microscopy. Improving the resolution of the image field remains a key challenge for achieving high-precision measurements. However, due to the high coherence of the laser, the resolution of the wavefront at the image plane depends not only on the radius of curvature of the illumination wavefront, but also on the observation position and direction. Existing theoretical approaches, which provide only approximate calculations of the amplitude distribution of the image field, are insufficient for practical applications. In this study, a theoretical framework for calculating the complex wavefield at the image plane is established, and analytical expressions describing the spectral distribution as functions of observation position and direction are derived. The proposed theory is experimentally validated using digital holographic microscopy. The results show good agreement between theory and experiment, demonstrating that the proposed approach accurately characterizes the spectral and resolution variations in the image field. These findings provide a solid theoretical foundation for the optimal design of digital holographic microscopy systems and illumination wavefields. Full article
(This article belongs to the Special Issue Digital Image Processing and Sensing Technologies—Third Edition)
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