Document Image Processing for Scanning and Printing
Springer International Publishing (Verlag)
978-3-030-05341-3 (ISBN)
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 | 04.04.2019 |
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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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