Coded Optical Imaging
Liang, Jinyang
- 出版商: Springer
- 出版日期: 2024-03-20
- 售價: $10,850
- 貴賓價: 9.5 折 $10,308
- 語言: 英文
- 頁數: 709
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 303139061X
- ISBN-13: 9783031390616
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商品描述
This book provides a comprehensive survey of coded optical imaging. Illustrated with 386 figures, it takes readers from the fundamental concepts and theories to the latest research and applications in this field. It can be used in graduate-level courses in optics and photonics. It can also benefit scientists and engineers in optical imaging, computer graphics, and other related disciplines.
This book starts from a brief history of coded optical imaging and key operations in its data acquisition and image reconstruction. It then presents the latest progress in technological development and applications in the areas of biomedicine, materials science, industrial inspection, optical physics, imaging science, information theory, and more. Chapters describe the most representative techniques, exposing readers to key research themes, including:- Optical signal encoding
- Image reconstruction techniques- Compressed sensing
- Artificial intelligence
- Metasurface - Structured light- Lensless imaging
- Holography
- Tomography
- Light-field imaging - Utrafast imaging- Hyperspectral imaging
- Polarization imaging - Super-resolution imaging商品描述(中文翻譯)
本書提供了編碼光學成像的全面調查。書中配有386幅插圖,帶領讀者從基本概念和理論進入該領域的最新研究和應用。它可用於光學和光子學的研究生課程,也能惠及光學成像、計算機圖形學及其他相關學科的科學家和工程師。
本書從編碼光學成像的簡要歷史及其數據獲取和圖像重建的關鍵操作開始。接著介紹了在生物醫學、材料科學、工業檢測、光學物理、成像科學、信息理論等領域的技術發展和應用的最新進展。各章節描述了最具代表性的技術,讓讀者接觸到關鍵研究主題,包括:
- 光學信號編碼
- 圖像重建技術
- 壓縮感知
- 人工智慧
- 超表面
- 結構光
- 無透鏡成像
- 全息術
- 斷層成像
- 光場成像
- 超快成像
- 高光譜成像
- 偏振成像
- 超解析成像
作者簡介
Jinyang Liang is an Associate Professor and Director of Laboratory and Applied Computational Imaging at the Institut National de la Recherche Scientifique (INRS), Université du Québec. He holds the Canada Research Chair of Ultrafast Computational Imaging (Tier ll). His research focuses on the development of new computational imaging systems and their applications in advanced manufacturing, materials science, and biomedicine. He is a Senior Member of Optica and SPIE. He has received many awards, including the 2019 Young Scientist Prize from the International Union of Pure and Applied Physics (IUPAP) and the 2017 Educational Award-Gold from Edmund Optics.
作者簡介(中文翻譯)
Jinyang Liang 是位於魁北克大學國家科學研究院 (Institut National de la Recherche Scientifique, INRS) 的副教授及實驗室與應用計算成像主任。他擔任加拿大超快計算成像研究主席 (Tier ll)。他的研究專注於新型計算成像系統的開發及其在先進製造、材料科學和生物醫學中的應用。他是 Optica 和 SPIE 的資深會員。他獲得了許多獎項,包括2019年國際純粹與應用物理聯合會 (IUPAP) 的青年科學家獎和2017年艾德蒙光學 (Edmund Optics) 的金獎教育獎。