| Description |
1 online resource |
| Series |
Signals and Communication Technology |
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Signals and communication technology.
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| Contents |
Intro; Preface; Acknowledgements; Contents; About the Authors; 1 Distortion-Free Scanning and Copying of Bound Documents; 1.1 Distortion-Free Scanning/Copying of Non-flat Documents; 1.1.1 Introduction; 1.1.2 Distortions at Scanning/Copying; 1.1.3 Splay Profile Estimation by Lateral Cameras; 1.1.4 Correction of the Distortions; 1.1.5 Results; 1.2 Depth Extraction from Single Image Using CNN; References; 2 Document Image Enhancement; 2.1 Restoration of Thick Bound Document Images; 2.1.1 Introduction; 2.1.2 Related Work; 2.1.3 Book Page Segmentation and Skew Recognition |
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2.1.4 Perspective Distortion Elimination2.1.5 Illumination Equalizing; 2.1.6 Incomplete Placement of the Book on a Scanner Platen; 2.1.7 Results; 2.2 Mobile Image/Document Enhancement; 2.2.1 Geometry Correction Algorithm; 2.2.2 Image Enhancement Algorithm; References; 3 Memory-Efficient Algorithm for Copying Two-Sided Cards; 3.1 Introduction; 3.2 Analysis of Approaches for Orientation Recognition; 3.3 Processing of Card Images; 3.3.1 General Workflow; 3.3.2 Bounding Box Detection; 3.3.3 Skew Angle Estimation; 3.3.4 Segmentation of Digits; 3.3.5 Arabic Digit Recognition |
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3.3.6 Orientation Detection3.4 Tricks for Memory Optimization; 3.4.1 Rotation in-Place; 3.4.2 Two-Pass Labelling; 3.5 Results; References; 4 Automatic Cropping and Deskew of Multiple Objects; 4.1 Introduction; 4.2 Related Work; 4.3 Auto Cropping and Deskew; 4.3.1 General Workflow; 4.3.2 Preprocessing; 4.3.3 Initial Segmentation; 4.3.4 Classification and Grouping of Connected Regions; 4.3.5 Cropping and Deskew; 4.4 Results; References; 5 Segmentation of Scanned Images of Newspapers and Magazines; 5.1 Introduction; 5.2 Method for Segmentation of Document Image; 5.2.1 A General Construct |
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5.2.2 Textural Features5.2.3 Dataset; 5.2.4 Segmentation Quality Metrics; 5.2.5 Cross-Validation Scheme; 5.3 Results and Discussion; References; 6 Document Image Classification on the Basis of Layout Information; 6.1 Introduction; 6.2 Related Work; 6.3 Proposed Approach; 6.3.1 Processing Pipeline Overview; 6.3.2 Text Extraction; 6.3.3 Document Layout Descriptors; 6.3.4 Classification Framework; 6.4 Results and Discussion; 6.4.1 Document Dataset; 6.4.2 Experimental Results; References; 7 Piecewise Scanning and Stitching of Large Originals; 7.1 Introduction; 7.2 Related Work |
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7.3 Proposed Method7.3.1 Feature Point Detection; 7.3.2 Image Matching and Coordinate Transformations; 7.3.3 Blending of a Pair of Images; 7.3.4 Blending Image Mosaics; 7.4 Results; References; 8 Fast Control of JPEG Compression Rate; 8.1 Introduction; 8.2 Problem Formulation; 8.3 Related Work; 8.4 Description of Method; 8.4.1 Algorithm Overview; 8.4.2 Adaptive Bit Count Predictor; 8.4.3 Fast RC Mode; 8.4.4 LS RC Mode; 8.4.5 DP RC Mode; 8.4.6 Colour Image Processing; 8.5 Experimental Results; 8.5.1 Performance Metrics; 8.5.2 Test Conditions; 8.5.3 Summary of Results |
| Summary |
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 |
| Bibliography |
Includes bibliographical references |
| Notes |
Print version record |
| Subject |
Image processing -- Digital techniques.
|
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Document imaging systems.
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digital imaging.
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Image processing.
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Imaging systems & technology.
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Computers -- Computer Graphics.
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Technology & Engineering -- Electronics -- General.
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Document imaging systems
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Image processing -- Digital techniques
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| Form |
Electronic book
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| Author |
Kurilin, Ilya V., author
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Rychagov, Michael N., author
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Tolstaya, Ekaterina V., author
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| ISBN |
9783030053420 |
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3030053423 |
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9783030053437 |
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3030053431 |
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