AI Deep Learning in Image Processing
暫譯: 影像處理中的 AI 深度學習

Shih, Frank Y.

AI Deep Learning in Image Processing
  • 出版商: CRC
  • 出版日期: 2025-10-14
  • 售價: $6,960
  • 貴賓價: 9.5 折 $6,612
  • 語言: 英文
  • 頁數: 642
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 103275530X
  • ISBN-13: 9781032755304
  • 相關分類: DeepLearning、影像辨識 Image-recognition

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Image processing plays a crucial role in various fields, including digital multimedia, automated vision detection and inspection, and pattern recognition. AI Deep Learning in Image Processing aims to provide a comprehensive overview of the mechanisms and techniques involved, with a particular focus on the application of advanced AI deep-learning technologies in image processing.

The field of image processing has experienced unprecedented growth in recent years. Image processing presents the latest state-of-the-art developments alongside clear explanations of fundamental concepts and contemporary applications. By emphasizing essential principles, this book enables readers to not only implement algorithms and techniques with ease but also identify new challenges and explore innovative applications in the field.

  • New and advanced AI deep-learning techniques for image processing as comparing against traditional image-processing methods

  • Numerous practical examples and AI image-processing-related applications

  • A more intuitive development and clear explanation to the complex technology

  • Updated image-processing technology in medical, chemical, and ecological fields

  • Extensive discussions of performance comparisons of various AI deep-learning image-processing methods

This book is designed for students, researchers, and professionals seeking to enhance their knowledge, gain practical insights, and explore the evolving role of image processing in modern technology.

商品描述(中文翻譯)

影像處理在各個領域中扮演著至關重要的角色，包括數位多媒體、自動化視覺檢測與檢查，以及模式識別。《AI 深度學習在影像處理中的應用》旨在提供一個全面的概述，涵蓋相關的機制和技術，特別著重於先進的 AI 深度學習技術在影像處理中的應用。

近年來，影像處理領域經歷了前所未有的增長。影像處理展示了最新的尖端發展，並清晰解釋了基本概念和當代應用。通過強調基本原則，本書使讀者不僅能夠輕鬆實施演算法和技術，還能識別新挑戰並探索該領域中的創新應用。

- 新的和先進的 AI 深度學習技術在影像處理中的應用，與傳統影像處理方法進行比較
- 許多實用範例和與 AI 影像處理相關的應用
- 對複雜技術的更直觀發展和清晰解釋
- 醫療、化學和生態領域的影像處理技術更新
- 各種 AI 深度學習影像處理方法的性能比較的廣泛討論

本書旨在為學生、研究人員和專業人士提供增強知識、獲取實用見解以及探索影像處理在現代技術中不斷演變的角色的機會。

作者簡介

Frank Y. Shih received his B.S. from National Cheng Kung University, Tainan, Taiwan, in 1980; M.S. from State University of New York, Stony Brook, U.S.A., in 1984; and Ph.D. from Purdue University, West Lafayette, Indiana, U.S.A., in 1987. He is a professor jointly appointed in the Department of Computer Science, the Department of Electrical and Computer Engineering, and the Department of Biomedical Engineering at New Jersey Institute of Technology, Newark, New Jersey. He currently serves as director of Artificial Intelligence and Computer Vision Laboratory.

Dr. Shih held a visiting professor position at Princeton University, Columbia University, National Taiwan University, National Institute of Informatics (Tokyo, Japan), Conservatoire National Des Arts Et Metiers (Paris, France), and Nanjing University of Information Science and Technology (China). He is an internationally renowned scholar and currently serves as editor-in-chief for the International Journal of Pattern Recognition and Artificial Intelligence. He was editor-in-chief for the International Journal of Multimedia Intelligence and Security. In addition, he is on the editorial board of 12 international journals. He has served as a steering member, session chair, and committee member for numerous professional conferences and workshops. He has received numerous grants from the National Science Foundation, the NIH, NASA, the Navy and Air Force, and industry companies Industry. He has won the Research Initiation Award from NSF, the Outstanding Teaching Award and the Board of Overseers Excellence in Research Award from NJIT, and the Best Paper Awards from journals and conferences.

Dr. Shih is internationally recognized as an expert in artificial intelligence and pattern recognition, deep learning, watermarking, steganography, and forensics. He has authored seven books, including Digital Watermarking and Steganography, Image Processing and Mathematical Morphology, Image Processing and Pattern Recognition, and Multimedia Security: Watermarking, Steganography, and Forensics. He has published over 160 journal papers, 110 conference papers, and 23 book chapters. His current research interests include artificial intelligence, deep learning, image processing, watermarking and steganography, digital forensics, pattern recognition, bioinformatics, biomedical engineering, fuzzy logic, and neural networks.

作者簡介(中文翻譯)

施芳瑜於1980年獲得國立成功大學（台南，台灣）學士學位，1984年獲得美國紐約州立大學石溪校區碩士學位，1987年獲得美國普渡大學（印第安納州西拉法葉）博士學位。他目前在新澤西理工學院（新ark，紐澤西）擔任計算機科學系、電機與計算機工程系及生物醫學工程系的共同任教授，並擔任人工智慧與計算機視覺實驗室的主任。

施博士曾在普林斯頓大學、哥倫比亞大學、國立台灣大學、日本國立資訊學研究所（東京）、法國國立工藝學院（巴黎）及中國南京信息工程大學擔任訪問教授。他是一位國際知名的學者，目前擔任《國際模式識別與人工智慧期刊》的主編，並曾擔任《國際多媒體智能與安全期刊》的主編。此外，他還是12本國際期刊的編輯委員會成員。他曾擔任多個專業會議和研討會的指導委員、會議主席及委員，並獲得來自國家科學基金會、國立衛生研究院、NASA、海軍和空軍及業界公司的多項研究經費。他曾獲得國家科學基金會的研究啟動獎、新澤西理工學院的傑出教學獎及研究卓越獎，以及多個期刊和會議的最佳論文獎。

施博士在人工智慧、模式識別、深度學習、水印技術、隱寫術及數位取證方面被國際公認為專家。他著有七本書，包括《數位水印與隱寫術》、《影像處理與數學形態學》、《影像處理與模式識別》及《多媒體安全：水印技術、隱寫術與數位取證》。他已發表超過160篇期刊論文、110篇會議論文及23篇書章。他目前的研究興趣包括人工智慧、深度學習、影像處理、水印技術與隱寫術、數位取證、模式識別、生物資訊學、生物醫學工程、模糊邏輯及神經網絡。

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