Image Restoration: Fundamentals and Advances
暫譯: 影像修復：基礎與進展
Gunturk, Bahadir Kursat, Li, Xin
- 出版商: CRC
- 出版日期: 2017-03-29
- 售價: $3,790
- 貴賓價: 9.5 折 $3,601
- 語言: 英文
- 頁數: 378
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1138071773
- ISBN-13: 9781138071773
海外代購書籍(需單獨結帳)
商品描述
Image Restoration: Fundamentals and Advances responds to the need to update most existing references on the subject, many of which were published decades ago. Providing a broad overview of image restoration, this book explores breakthroughs in related algorithm development and their role in supporting real-world applications associated with various scientific and engineering fields. These include astronomical imaging, photo editing, and medical imaging, to name just a few. The book examines how such advances can also lead to novel insights into the fundamental properties of image sources.
Addressing the many advances in imaging, computing, and communications technologies, this reference strikes just the right balance of coverage between core fundamental principles and the latest developments in this area. Its content was designed based on the idea that the reproducibility of published works on algorithms makes it easier for researchers to build on each other's work, which often benefits the vitality of the technical community as a whole. For that reason, this book is as experimentally reproducible as possible.
Topics covered include:
- Image denoising and deblurring
- Different image restoration methods and recent advances such as nonlocality and sparsity
- Blind restoration under space-varying blur
- Super-resolution restoration
- Learning-based methods
- Multi-spectral and color image restoration
- New possibilities using hybrid imaging systems
Many existing references are scattered throughout the literature, and there is a significant gap between the cutting edge in image restoration and what we can learn from standard image processing textbooks. To fill that need but avoid a rehash of the many fine existing books on this subject, this reference focuses on algorithms rather than theories or applications. Giving readers access to a large amount of downloadable source code, the book illustrates fundamental techniques, key ideas developed over the years, and the state of the art in image restoration. It is a valuable resource for readers at all levels of understanding.
商品描述(中文翻譯)
《影像修復：基礎與進展》回應了更新大多數現有參考資料的需求，這些資料中的許多都是數十年前出版的。本書提供了影像修復的廣泛概述，探討了相關演算法開發的突破及其在支持與各種科學和工程領域相關的實際應用中的角色，包括天文影像、照片編輯和醫學影像等。書中檢視了這些進展如何也能帶來對影像來源基本特性的全新見解。
本書針對影像、計算和通訊技術的諸多進展，恰如其分地平衡了核心基本原則與該領域最新發展之間的覆蓋範圍。其內容設計基於這樣的理念：已發表的演算法作品的可重現性使研究人員能夠在彼此的工作上進行建設，這通常有助於整個技術社群的活力。因此，本書在實驗上儘可能地可重現。
涵蓋的主題包括：
- 影像去噪與去模糊
- 不同的影像修復方法及最近的進展，如非局部性和稀疏性
- 在空間變化模糊下的盲修復
- 超解析度修復
- 基於學習的方法
- 多光譜與彩色影像修復
- 使用混合影像系統的新可能性
許多現有的參考資料散佈在文獻中，影像修復的前沿與我們從標準影像處理教科書中所能學到的之間存在著顯著的差距。為了填補這一需求，但又避免重複許多優秀的現有書籍，本參考資料專注於演算法而非理論或應用。書中提供大量可下載的源代碼，說明了基本技術、多年來發展的關鍵思想以及影像修復的最新技術。這是一本對各個理解層次的讀者都非常有價值的資源。
作者簡介
Bahadir K. Gunturk received his B.S. degree from Bilkent University, Turkey, and his Ph.D. degree from the Georgia Institute of Technology in 1999 and 2003, respectively, both in electrical engineering. Since 2003, he has been with the Department of Electrical and Computer Engineering at Louisiana State University, where he is an associate professor. His research interests are in image processing and computer vision. Dr. Gunturk was a visiting scholar at the Air Force Research Lab in Dayton, Ohio, and at Columbia University in New York City. He is the recipient of the Outstanding Research Award at the Center of Signal and Image Processing at Georgia Tech in 2001, the Air Force Summer Faculty Fellowship Program (SFFP) Award in 2011 and 2012, and named as a Flagship Faculty at Louisiana State University in 2009.
Xin Li received his B.S. degree with highest honors in electronic engineering and information science from the University of Science and Technology of China, Hefei, in 1996, and his Ph.D. degree in electrical engineering from Princeton University, Princeton, New Jersey, in 2000. He was a member of the technical staff with Sharp Laboratories of America, Camas, Washington, from August 2000 to December 2002. Since January 2003, he has been a faculty member in the Lane Department of Computer Science and Electrical Engineering at West Virginia University. He is currently a tenured associate professor at that school. His research interests include image/video coding and processing. Dr. Li received a Best Student Paper Award at the Visual Communications and Image Processing Conference in 2001; a runner-up prize of Best Student Paper Award at the IEEE Asilomar Conference on Signals, Systems and Computers in 2006; and a Best Paper Award at the Visual Communications and Image Processing Conference in 2010.
作者簡介(中文翻譯)
Bahadir K. Gunturk 於1999年和2003年分別在土耳其比爾肯特大學獲得電機工程學士學位及喬治亞理工學院獲得電機工程博士學位。自2003年以來，他一直在路易斯安那州立大學的電機與計算機工程系任教，擔任副教授。他的研究興趣包括影像處理和計算機視覺。Gunturk博士曾在俄亥俄州代頓的空軍研究實驗室和紐約市的哥倫比亞大學擔任訪問學者。他於2001年獲得喬治亞理工學院信號與影像處理中心的傑出研究獎，2011年和2012年獲得空軍夏季教職員獎學金計劃（SFFP）獎，並於2009年被評選為路易斯安那州立大學的旗艦教員。
Xin Li 於1996年在中國科學技術大學（合肥）獲得電子工程與信息科學的最高榮譽學士學位，並於2000年在新澤西州普林斯頓大學獲得電機工程博士學位。他曾於2000年8月至2002年12月在美國夏普實驗室（華盛頓州卡馬斯）擔任技術人員。自2003年1月以來，他一直是西維吉尼亞大學萊恩計算機科學與電機工程系的教職員，目前擔任終身副教授。他的研究興趣包括影像/視頻編碼和處理。Li博士於2001年在視覺通信與影像處理會議上獲得最佳學生論文獎；2006年在IEEE Asilomar信號、系統與計算會議上獲得最佳學生論文獎的亞軍；以及於2010年在視覺通信與影像處理會議上獲得最佳論文獎。
