Document Image Processing for Scanning and Printing

Document Image Processing for Scanning and Printing

Author: Ilia V. Safonov

Publisher: Springer

Published: 2019-03-25

Total Pages: 314

ISBN-13: 3030053423

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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.


Document Image Processing for Scanning and Printing

Document Image Processing for Scanning and Printing

Author: Ilia V. Safonov

Publisher:

Published: 2019

Total Pages:

ISBN-13: 9783030053437

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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.


Introduction to Document Image Processing Techniques

Introduction to Document Image Processing Techniques

Author: Ronald G. Matteson

Publisher: Artech House Publishers

Published: 1995

Total Pages: 288

ISBN-13:

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How can you incorporate the latest advances in document image processing technology to your designs? This book details the practical engineering aspects of the technology, including scanning principles, compression and spatial filtering techniques, geometrical transformations required for translation and scaling, histogram modification, and halftone screening. It also features introductions to feature extraction, clustering, and classification needed for optical character recognition. Complete with 175 equations and 158 illustrations.


Handbook of Digital Forensics of Multimedia Data and Devices

Handbook of Digital Forensics of Multimedia Data and Devices

Author: Anthony T. S. Ho

Publisher: John Wiley & Sons

Published: 2015-07-24

Total Pages: 698

ISBN-13: 1118705793

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Digital forensics and multimedia forensics are rapidly growing disciplines whereby electronic information is extracted and interpreted for use in a court of law. These two fields are finding increasing importance in law enforcement and the investigation of cybercrime as the ubiquity of personal computing and the internet becomes ever-more apparent. Digital forensics involves investigating computer systems and digital artefacts in general, while multimedia forensics is a sub-topic of digital forensics focusing on evidence extracted from both normal computer systems and special multimedia devices, such as digital cameras. This book focuses on the interface between digital forensics and multimedia forensics, bringing two closely related fields of forensic expertise together to identify and understand the current state-of-the-art in digital forensic investigation. Both fields are expertly attended to by contributions from researchers and forensic practitioners specializing in diverse topics such as forensic authentication, forensic triage, forensic photogrammetry, biometric forensics, multimedia device identification, and image forgery detection among many others. Key features: Brings digital and multimedia forensics together with contributions from academia, law enforcement, and the digital forensics industry for extensive coverage of all the major aspects of digital forensics of multimedia data and devices Provides comprehensive and authoritative coverage of digital forensics of multimedia data and devices Offers not only explanations of techniques but also real-world and simulated case studies to illustrate how digital and multimedia forensics techniques work Includes a companion website hosting continually updated supplementary materials ranging from extended and updated coverage of standards to best practice guides, test datasets and more case studies


Smart Algorithms for Multimedia and Imaging

Smart Algorithms for Multimedia and Imaging

Author: Michael N. Rychagov

Publisher: Springer Nature

Published: 2021-05-05

Total Pages: 433

ISBN-13: 3030667413

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This book presents prospective, industrially proven methods and software solutions for storing, processing, and viewing multimedia content on digital cameras, camcorders, TV, and mobile devices. Most of the algorithms described here are implemented as systems on chip firmware or as software products and have low computational complexity and memory consumption. In the four parts of the book, which contains a total of 16 chapters, the authors address solutions for the conversion of images and videos by super-resolution, depth estimation and control and mono-to-stereo (2D to 3D) conversion; display applications by video editing; the real-time detection of sport episodes; and the generation and reproduction of natural effects. The practical principles of machine learning are illustrated using technologies such as image classification as a service, mobile user profiling, and automatic view planning with dictionary-based compressed sensing in magnetic resonance imaging. The implementation of these technologies in mobile devices is discussed in relation to algorithms using a depth camera based on a colour-coded aperture, the animated graphical abstract of an image, a motion photo, and approaches and methods for iris recognition on mobile platforms. The book reflects the authors’ practical experience in the development of algorithms for industrial R&D and the commercialization of technologies. Explains digital techniques for digital cameras, camcorders, TV, mobile devices; Offers essential algorithms for the processing pipeline in multimedia devices and accompanying software tools; Features advanced topics on data processing, addressing current technology challenges.


Intelligent Multimedia Analysis for Security Applications

Intelligent Multimedia Analysis for Security Applications

Author: Husrev T. Sencar

Publisher: Springer

Published: 2010-04-03

Total Pages: 406

ISBN-13: 3642117562

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The advances in the generation and processing of multimedia data (e. g. documents, images, video, audio, animations, etc. ) have had an immense impact on multimedia applications and, as a result, multimedia has permeated almost every aspect of our daily lives. This development has also brought with it a whole host of issues and ch- lenges which were either not as apparent before or were non-existent. Today, digital media is relied upon as primary news and information resource, as evidence in a court of law, as part of medical records or as financial documents. However, there is still lack of authoritative mechanisms to verify the origin and veracity of media data. - deed, multimedia content has become an extremely valuable asset, and it is being both disseminated and consumed on a larger scale than ever before, but the issues conce- ing how the content owners and publishers should control the distribution of and - cess to their content have not been satisfactorily resolved yet. There are various other issues related to use of multimedia that require further analysis and research. For example, it is a known fact that some criminal organi- tions communicate with its members by posting information embedded media to p- lic forums and web-sites to evade surveillance by law enforcement. Conventional multimedia processing approaches do not provide sufficiently effective means for - fending against such communication.


Guide to OCR for Indic Scripts

Guide to OCR for Indic Scripts

Author: Venu Govindaraju

Publisher: Springer Science & Business Media

Published: 2009-09-25

Total Pages: 334

ISBN-13: 1848003307

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This is the first comprehensive text on Optical Character Recognition for Indic scripts. It covers many topics and describes OCR systems for eight different scripts—Bangla, Devanagari, Gurmukhi, Gujarti, Kannada, Malayalam, Tamil and Urdu.