Digital Image Processing: Advanced Technologies and Applications

Dear Colleagues,

Throughout the 21^st century, the human demand for information has been increasing every day. The choice of an electronic imaging device is related to its application. With the rapid technological developments and use of mobile devices and social media, humans are consistently exposed to a significant amount of information, including digital images and videos. With every minute that passes, the internet is flooded with huge amounts of digital content. Hence, digital imaging has obtained a substantial role in various scientific expeditions, for instance, in image enhancement, restorations, and various object recognition tasks. Often, the colors and contrast of many real life images degrade abruptly due to various factors, such as insufficient lighting, excessive light absorption, scattering, and of course limitations of the imaging devices themselves. Similarly, the hardware restrictions of image or video capturing devices also affects the imaging quality. Moreover, the selective absorption and scattering of light tends to cause color deviations in many real life images, which results in a blurry image and poor contrast. Furthermore, in various situations, digital images are distorted, which sooner or later degrades the visual experience for human viewers. For instance, adverse weather conditions, such as rain, snow, fog, or cloudy environments result in blurry images along with color distortions. Although imaging equipment with better embedded hardware can improve the image quality to a certain extent, in many situations, its adaptability is poor. Hence, the quality of the acquired images is non-satisfactory.

This Special Issue will focus on digital imaging strategies, with the aim of processing, analyzing, and investigating imaging and all the latest methods involved in handling them. Manuscripts are invited in all these different multidisciplinary areas, but are not limited to them. Recently, interest in computer vision, machine learning, and deep learning has grown significantly. Therefore, manuscripts that explore the utility of such tools in exploring advanced technologies and applications are also encouraged.

In this Special Issue, we invite authors to submit original research papers, reviews, and viewpoint articles that are related to recent advances at all levels of the applications and technologies of imaging and signal analysis. We are open to papers that address a diverse range of topics, from foundational issues up to novel algorithms that aim to provide state-of-the-art solutions and technological systems for practical and feasible applications.

The Special Issue on “Digital Image Processing: Advanced Technologies and Applications” covers rising trends in image theory additions, original algorithms, and novel architectures to capture, form, and display digital images, subsequent processings, communications, analysis, videos, and multidimensional systems and signals in an extensive diversity of applications. Topics of interest include, but are not limited to:

• Action recognition
• Automatic extraction of data from images
• Bio-imaging and signal processing
• Communications and signal processing
• Computational imaging
• Data association
• Deep learning and artificial intelligence
• Human computer interaction
• Image analysis
• Image coding and filtering
• Image and control theory
• Image enhancement, and restoration
• Image registration, rendering, halftoning, and search
• Image representation and formation
• Image sensors
• Image, video, and multidimensional signal processing
• Image and video communications
• Image and video systems
• Information, forensics, and security
• Information fusion
• Internet of things
• Mathematical, statistical, and perceptual modeling
• Machine learning/deep learning/artificial intelligence in imaging
• Machine learning for signal processing
• Medical imaging
• Multimedia signal processing
• 3D imaging, analysis, and applications
• Electronic imaging
• Biomedical imaging
• Remote sensing
• Sensing and imaging
• Sensor fusion
• Applied signal processing systems
• Signal processing for communication and networking
• Signal estimation theory
• Speech and language processing
• Cloud segmentation from satellite images
• Digital image processing for geological and seismic applications

Dr. Zahid Mehmood Jehangiri
Dr. Mohsin Shahzad
Dr. Uzair Khan
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-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences 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 2400 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.