AI in Signal and Image Processing

Dear Colleagues,

This Special Issue, entitled "AI in Signal and Image Processing", is dedicated to exploring the intersection of artificial intelligence (AI) techniques and signal/image processing methods. Its aim is to offer a platform for researchers and practitioners to showcase their most recent findings, methodologies, and innovations. By gathering contributions from experts in the field of AI-driven signal and image processing, this Special Issue strives to advance state-of-the-art research, foster interdisciplinary collaborations, address key challenges, and bridge the gap between theoretical research and practical applications by highlighting real-world implementations and experiments.

This Special Issue seeks to investigate how AI can enhance various aspects of signal and image processing tasks, ranging from basic preprocessing steps to sophisticated analyses and interpretation. Its scope may encompass a broad array of topics, including, but not limited to, the following:

1. AI-based signal processing algorithms: This could involve using machine learning, deep learning, or other AI techniques to augment traditional signal processing tasks, such as filtering, noise reduction, compression, and feature extraction.
2. Image processing and computer vision: This Special Issue may cover advancements in AI-driven techniques for image analysis, object detection and recognition, image segmentation, image registration, and other related tasks.
3. Pattern recognition and classification: This Special Issue may also delve into how AI algorithms can improve pattern recognition and classification tasks within signal and image processing applications, such as biometrics, medical imaging, remote sensing, and surveillance.
4. AI-enabled signal/image enhancement: This could include methods for enhancing the quality, resolution, or clarity of signals or images using AI approaches.
5. Applications of AI in signal/image processing: This Special Issue may also highlight real-world applications of AI techniques across diverse domains, including healthcare, astronomy, multimedia, robotics, and industrial automation.

Dr. Haijian Zhang
Dr. Xing Tang
Dr. Jinsheng Xiao
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. Electronics 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.

• artificial intelligence
• pattern recognition
• computer vision
• machine learning
• applications of AI