Image Processing in Sensors and Communication Systems
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: 31 July 2024 | Viewed by 3769
Special Issue Editor
Interests: smart ocean system; intelligent monitoring; sensing network; Internet of Things; marine information processing; vision sensors
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the rapid development of communication technologies, more and more emerging technologies have been widely used, such as the Internet of Things, cloud desktop, etc., bringing great convenience to people’s lives. However, people’s attention to sensors and communication systems has changed from “usable” to “high-quality use”, and the existing sensors and communication systems often suffer from quality degradation caused by the source end and the transmission process, and lack reasonable quality assessment methods to evaluate the received content. It is worth noting that the addition of emerging intelligent technologies such as deep learning and big data technologies are conducive to promoting the quality of sensors and communication systems. Therefore, facing the urgent needs of life and technological development, it is necessary to carry out relevant research and propose emerging technologies in sensors and communication systems from the perspective of quality awareness and intelligent technologies, so as to improve the quality of relevant procedures and services.
This Special Issue focuses on image processing technologies in sensors and communication systems. We encourage researchers to propose algorithms, theories and standards that can help to improve the quality awareness of sensors and communication systems from the perspective of data and models. The ultimate goal is to provide a high-quality and stable environment for the next generation of sensors and communication systems. This Special Issue will highlight, but not be limited to, the following topics:
(1) Image compression algorithms in sensors and communication systems.
(2) Image quality assessment algorithms in sensors and communication systems.
(3) Image super-resolution methods in sensors and communication systems.
(4) Image encoding and decoding standards in sensors and communication systems.
(5) Proposals for a new generation of cloud desktop systems.
(6) Theories and standards in sensors and communication systems.
Prof. Dr. Jiachen Yang
Guest Editor
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.
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Keywords
- image compression algorithms
- image quality assessment algorithms
- image super-resolution
- cloud desktop systems
- intelligent systems
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: Advancing Image Encryption: Color Secret Sharing Protocol for Enhanced Security in Visual Cryptography
Authors: Suresh Sankaranarayanan; John Blesswin; Selva Mary
Affiliation: King Faisal University and SRM Institute of Science and Technology, Kattankulathur,
Abstract: The widespread use of the internet has seen a significant increase in recent years, leading to a rise in the transmission of data in various forms such as text, images, and videos. However, the use of third-party applications to communicate sensitive information such as personal, financial, medical, and military communications raise security concerns. To address these issues, Visual Cryptography (VC) has been developed as an encryption method for image data. VC works by dividing the original Secret Color Image into Shares and distributing them to the recipient. At the destination, the shares are combined, either physically or digitally, to reveal the original data. To enhance security, VC also uses Color Cover Images . Additionally, VC allows for the secret sharing of multiple images. In this research paper, a new strategy known as Color Secret Sharing Protocol (CSSP) is proposed for the secure transmission of single securely. CSSP improves security by using cover images and also minimizes the complexity without pixel expansion issues.