Information Theory Tools for Image Processing (Paperback) (影像處理的資訊理論工具)
Miquel Feixas, Anton Bardera, Jaume Rigau, Qing Xu, Mateu Sbert
- 出版商: Morgan & Claypool
- 出版日期: 2014-03-01
- 售價: $2,200
- 貴賓價: 9.5 折 $2,090
- 語言: 英文
- 頁數: 164
- 裝訂: Paperback
- ISBN: 1627053611
- ISBN-13: 9781627053617
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商品描述
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
商品描述(中文翻譯)
資訊理論(Information Theory,簡稱IT)工具廣泛應用於許多科學領域,如工程學、物理學、遺傳學、神經科學等,同時也是影像處理中有用的橫向工具。本書介紹了IT的基本概念以及它們在影像處理領域中的應用,包括註冊、分割、視頻處理和計算美學。其中一些方法,如互信息在註冊中的應用,是該領域的最新技術。本書介紹的所有技術都已在同行評審的會議論文或國際期刊上發表過。我們在這裡強調它們的共同點,並以統一的方式呈現,以便讓讀者清楚IT工具可以幫助解決哪些問題,使用哪些具體工具以及如何應用它們。本書中的IT基礎知識被呈現得自成一體。目標讀者是影像處理及相關領域(如計算機圖形學和可視化)的學生和從業人員。此外,IT的學生和從業人員也會對這些應用感興趣。
目錄:前言/致謝/資訊理論基礎/影像註冊/影像分割/視頻關鍵幀選擇/資訊美學度量/參考文獻/作者簡介