Information Theory Tools for Image Processing is popular PDF and ePub book, written by Miquel Feixas in 2022-06-01, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Information Theory Tools for Image Processing can be Read Online from any device for your convenience.
Information Theory Tools for Image Processing Book PDF Summary
Information Theory (IT) tools, widely used in many scientific fields such as engineering, physics, genetics, neuroscience, and many others, are also useful transversal tools in image processing. In this book, we present the basic concepts of IT and how they have been used in the image processing areas of registration, segmentation, video processing, and computational aesthetics. Some of the approaches presented, such as the application of mutual information to registration, are the state of the art in the field. All techniques presented in this book have been previously published in peer-reviewed conference proceedings or international journals. We have stressed here their common aspects, and presented them in an unified way, so to make clear to the reader which problems IT tools can help to solve, which specific tools to use, and how to apply them. The IT basics are presented so as to be self-contained in the book. The intended audiences are students and practitioners of image processing and related areas such as computer graphics and visualization. In addition, students and practitioners of IT will be interested in knowing about these applications. Table of Contents: Preface / Acknowledgments / Information Theory Basics / Image Registration / Image Segmentation / Video Key Frame Selection / Informational Aesthetics Measures / Bibliography / Authors' Biographies
Detail Book of Information Theory Tools for Image Processing PDF
- Author : Miquel Feixas
- Release : 01 June 2022
- Publisher : Springer Nature
- ISBN : 9783031795558
- Genre : Mathematics
- Total Page : 148 pages
- Language : English
- PDF File Size : 8,9 Mb
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