Document Image Processing for Scanning and Printing - Ilia V. Safonov, Ilya V. Kurilin, Michael N. Rychagov, Ekaterina V. Tolstaya

Document Image Processing for Scanning and Printing

Buch | Hardcover
XVIII, 305 Seiten
2019 | 1st ed. 2019
Springer International Publishing (Verlag)
978-3-030-05341-3 (ISBN)
128,39 inkl. MwSt

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.

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.

Distortion-free Image Capturing at Scanning/Copying of the Bound Documents.- Image restoration of compact bound documents.- Intellectual Two-sided card copy.- Automatic cropping and deskew of multiple objects.- Mobile image/document enhancement.- Bottom-up Document Segmentation Method Based on Textural Features.- Document image classification on the basis of layout information.- Image/ Poster stitching.- Fast JPEG rate control.- Generation of PDF with vector symbols from scanned document.- Transformation of screenshot to metafile.- Embedding hidden data into hardcopy.- Embedding hidden data into hardcopy.- Micro-printing.- Creation of micro-pictures for secured printing.- Fast approach for toner saving.- Integraphic Printing.

Erscheinungsdatum
Reihe/Serie Signals and Communication Technology
Zusatzinfo XVIII, 305 p. 249 illus., 165 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 643 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Elektrotechnik / Energietechnik
Schlagworte Automatic cropping • Distortion-free Image Capturing • Document scanning technologies • Document Segmentation Method • Fast JPEG rate control • Image Restoration • Micro-printing • Poster stitching • toner saving
ISBN-10 3-030-05341-5 / 3030053415
ISBN-13 978-3-030-05341-3 / 9783030053413
Zustand Neuware
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