Document Image Processing for Scanning and Printing
暫譯: 掃描與列印的文件影像處理

Safonov, Ilia V., Kurilin, Ilya V., Rychagov, Michael N.

Document Image Processing for Scanning and Printing
  • 出版商: Springer
  • 出版日期: 2019-04-02
  • 售價: $4,450
  • 貴賓價: 9.5 折 $4,228
  • 語言: 英文
  • 頁數: 305
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3030053415
  • ISBN-13: 9783030053413

    • 海外代購書籍(需單獨結帳)

商品描述

This book continues first one of the same authors "Adaptive Image Processing Algorithms for Printing" and presents methods and software solutions for copying and scanning various types of documents by conventional office equipment, offering techniques for correction of distortions and enhancement of scanned documents; techniques for automatic cropping and de-skew; approaches for segmentation of text and picture regions; documents classifiers; approach for vectorization of symbols by approximation of their contour by curves; methods for optimal compression of scanned documents, algorithm for stitching parts of large originals; copy-protection methods by microprinting and embedding of hidden information to hardcopy; algorithmic approach for toner saving. In addition, method for integral printing is considered. Described techniques operate in automatic mode thanks to machine learning or ingenious heuristics. Most the techniques presented have a low computational complexity and memory consumption due to they were designed for firmware of embedded systems or software drivers. The book reflects the authors' practical experience in algorithm development for industrial R&D.

商品描述(中文翻譯)

本書延續了同一作者的《適應性影像處理演算法於印刷》一書，介紹了使用傳統辦公設備複製和掃描各類文件的方法和軟體解決方案，提供了修正失真和增強掃描文件的技術；自動裁剪和去斜的技術；文本和圖片區域的分割方法；文件分類器；通過曲線近似符號輪廓的向量化方法；掃描文件的最佳壓縮方法、大型原件部分拼接的演算法；通過微印刷和隱藏信息嵌入硬拷貝的複製保護方法；以及節省碳粉的演算法方法。此外，還考慮了整體印刷的方法。所描述的技術由於利用了機器學習或巧妙的啟發式方法，能夠在自動模式下運作。大多數技術具有低計算複雜度和內存消耗，因為它們是為嵌入式系統的韌體或軟體驅動程式設計的。本書反映了作者在工業研發中演算法開發的實踐經驗。

作者簡介

Ilia V. Safonov graduated from Moscow Engineering Physics Institute (at present time National Research Nuclear University MEPhI) in 1994 as engineer-physicist. He obtained PhD degree in computer science in 1997. Since 2000, he is associated professor in the department of Computer Science and Control Systems at MEPhI. At last decade, he had senior researcher position in RnD of Samsung, Nokia and Intel. At present time, Dr. Ilia Safonov is principal research-scientist at Schlumberger Moscow Research. His interests include image and signal processing, machine learning, measurement systems, computer graphics and vision.

Ilya V. Kurilin received his MS degree in radio engineering from Novosibirsk State Technical University (NSTU), Russia in 1999 and his PhD degree in theoretical bases of informatics from NSTU in 2006. In 2007, Dr. Ilya Kurilin joined Samsung RnD Institute in Moscow, Russia, where he engaged in image processing projects for multi-function printers and mobile devices. Recently, he leads Media Processing Team specialized in real-time computational imaging for mobile devices, machine learning methods for image analysis and reconstruction, dedicated sensors for visual data processing.

Michael N. Rychagov received MS degree in acoustical imaging and PhD degree from the Moscow State University (MSU) in 1986 and 1989, respectively. In 2000, he received a Dr.Sc. degree (Habilitation) from the same University. From 1991, he is involved in teaching and research at the National Research University of Electronic Technology (MIET) as an associate professor in the Department of Theoretical and Experimental Physics (1998), professor in the Department of Biomedical Systems (2008), professor in the Department of Informatics and SW for Computer Systems (2014). Since 2004, he joined Samsung R&D Institute in Moscow, Russia (SRR) working on imaging algorithms for printing, scanning and copying, TV and display technologies, multimedia and tomographic areas during almost 14 years, including last 8 years as Director of Division at SRR. Currently, he is Senior Manager of SW Development at Align Technology. His technical and scientific interests are image and video signal processing, biomedical modeling, engineering applications of machine learning and artificial intelligence. He is a Member of the Society for Imaging Science and Technology and Senior Member of IEEE.

Ekaterina V. Tolstaya received her MS degree in applied mathematics from Moscow State University, in 2000. In 2004, she completed her MS degree in geophysics from University of Utah, USA, where she worked on inverse scattering in electromagnetics. Since 2004, she worked on problems of image processing and reconstruction in Samsung R&D Institute in Moscow, Russia. Based on these investigations she obtained in 2011 her PhD degree with research on image processing algorithms for printing. In 2014, she continued her career with Align Technology on problems involving computer vision, 3D geometry and machine learning.

作者簡介(中文翻譯)

伊利亞·V·薩福諾夫於1994年畢業於莫斯科工程物理學院（現為國立研究核能大學MEPhI），獲得工程物理學士學位。他於1997年獲得計算機科學博士學位。自2000年以來，他在MEPhI的計算機科學與控制系統系擔任副教授。在過去十年中，他曾在三星、諾基亞和英特爾的研發部門擔任高級研究員。目前，伊利亞·薩福諾夫博士是施倫貝謝莫斯科研究中心的首席研究科學家。他的研究興趣包括影像與信號處理、機器學習、測量系統、計算機圖形學和視覺。

伊利亞·V·庫里林於1999年在俄羅斯新西伯利亞國立技術大學（NSTU）獲得無線工程碩士學位，並於2006年獲得NSTU的資訊學理論基礎博士學位。2007年，庫里林博士加入位於俄羅斯莫斯科的三星研發院，參與多功能印表機和移動設備的影像處理專案。最近，他領導專注於移動設備的即時計算影像、影像分析與重建的機器學習方法以及視覺數據處理專用感測器的媒體處理團隊。

米哈伊爾·N·瑞查戈夫於1986年和1989年分別在莫斯科國立大學（MSU）獲得聲學影像碩士學位和博士學位。2000年，他從同一所大學獲得博士後學位（Habilitation）。自1991年以來，他在國立電子技術研究大學（MIET）從事教學和研究，擔任理論與實驗物理系副教授（1998年）、生物醫學系教授（2008年）、計算機系統資訊與軟體系教授（2014年）。自2004年起，他加入位於俄羅斯莫斯科的三星研發院（SRR），在印刷、掃描和複製、電視和顯示技術、多媒體和斷層成像領域工作近14年，其中最後8年擔任SRR的部門主任。目前，他是Align Technology的軟體開發高級經理。他的技術和科學興趣包括影像和視頻信號處理、生物醫學建模、機器學習和人工智慧的工程應用。他是影像科學與技術學會的成員及IEEE的高級會員。

葉卡捷琳娜·V·托爾斯塔亞於2000年在莫斯科國立大學獲得應用數學碩士學位。2004年，她在美國猶他大學獲得地球物理碩士學位，並從事電磁學中的逆散射研究。自2004年以來，她在俄羅斯莫斯科的三星研發院從事影像處理和重建問題的研究。基於這些研究，她於2011年獲得博士學位，研究主題為印刷的影像處理演算法。2014年，她在Align Technology繼續她的職業生涯，專注於計算機視覺、3D幾何和機器學習相關問題。

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