Information Theory in Signal Processing and Image Processing

Dear Colleagues,

Longstanding interplays exist between information theory, signal processing, and image processing. Recently, such interplays have been significantly intense due to the huge advances in learning and optimization methods, such as deep learning, reinforcement learning, convex and non-convex optimization, and distributed optimization and learning. Accordingly, information-theoretic learning and optimization have led to significant and positive advances in signal and image processing owing to the large amount of available data acquired by advanced sensing devices and social media platforms. Although many efficient learning-based algorithms have been developed for complex problems in signal and image processing, there is a lack of theoretical foundations concerning how to exploit and evaluate the fundamental performance limits of these algorithms. Special Issue seeks to encourage new information-theoretic topics in the areas of signal processing, image processing and recognition, inference, and machine learning. More importantly, it will promote fundamental synergies across these areas of research.

Prospective authors are invited to submit original manuscripts on topics including, but not limited to the following:

• Optimization for signal processing and image processing
• Learning for signal processing and image processing
• Information-theoretic methods for learning
• Compressive sensing
• High-dimensional statistics
• Estimation and inference

Prof. Dr. Chun-Hung Liu
Prof. Dr. Jwo-Yuh Wu
Prof. Dr. Peter Y. Hong
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. Entropy is an international peer-reviewed open access monthly 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.