Digital Image Processing and Sensing Technologies
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: 31 May 2024 | Viewed by 12809
Special Issue Editors
Interests: image processing; multimedia security; digital images and videos; edge detection; computer vision
Special Issues, Collections and Topics in MDPI journals
Interests: image processing information hiding; watermarking and steganography; data science/analytics; theoretical computer science; machine learning
Interests: multimedia; 3D computer vision; articifial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: spectral imaging; material appearance; colour imaging; computational appearance
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
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 are 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. Khizar Hayat
Dr. Stefano Berretti
Dr. Jean-Baptiste Thomas
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.
Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Comprehensive Analysis of Compressible Perceptual Encryption Methods – Compression and Encryption Perspectives
Authors: Ijaz Ahmad; Wooyeol Choi; Seokjoo Shin
Affiliation: Department of Computer Engineering, Chosun University, Gwangju 61452, South Korea
Abstract: Perceptual encryption (PE) hides identifiable information of an image in such a way that its intrinsic characteristics remain intact. This recognizable perceptual quality can be used to enable computation in the encryption domain. A class of PE algorithms based on block level processing has recently gained popularity for their ability to generate JPEG compressible cipher images. A tradeoff in these methods, however, is between security efficiency and compression savings due to the chosen block size. Several methods (such as the processing of each color component independently, image representation, and sub-block level processing) have been proposed to effectively manage this tradeoff. The current study adapts these assorted practices into a uniform framework to provide a fair comparison of their results. Specifically, their compression quality is investigated under various design parameters such as the choice of colorspace, image representation, chroma subsampling, quantization tables, and block size. Also, their encryption quality is quantified in terms of several statistical analysis. The simulation results show that, although block-based PE methods exhibit favorable properties for encryption-then-compression schemes, they lack the diffusion property, as encryption is realized on a block level. Therefore, a careful consideration is required to resist differential attacks.