Application of Information Theory to Computer Vision and Image Processing II

Dear Colleagues,

We are pleased to announce that due to the great success of “Application of Information Theory to Computer Vision and Image Processing”, a new Special Issue titled “Application of Information Theory to Computer Vision and Image Processing II” is open to continue the inclusion of relevant papers of related topics.

The application of information theory to computer vision and image processing has significantly contributed to advancing the understanding and capabilities of computer science. Mathematics methods are applied to signal and image processing for quantifying and obtaining accurate information with enhanced efficiency upon every innovation. Providing valuable tools and techniques for the development of intelligent and adaptive machine vision systems for measuring and analyzing the amount of information contained within a signal and an image, including the entropy theory to estimate the average amount of uncertainty or randomness in a dataset, where a high entropy indicates a higher level of unpredictability, while low entropy suggests a more predictable and structured dataset.

This Special Issue aims to publish information theory, measurement methods, data processing, tools, and techniques for the design and instrumentation used in machine vision systems by the application of computer vision and image processing, for analyzing, processing, and understanding visual data based on principles of information content, redundancy, and statistical properties.

Dr. Wendy Flores-Fuentes
Dr. Oleg Sergiyenko
Prof. Dr. Julio Cesar Rodríguez-Quiñonez
Dr. Jesús Elías Miranda-Vega
Guest Editors

Manuscript Submission Information

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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.