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Titlebook: Document Image Processing for Scanning and Printing; Ilia V. Safonov,Ilya V. Kurilin,Ekaterina V. Tolst Book 2019 Springer Nature Switzerl

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發(fā)表于 2025-3-21 17:47:39 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Document Image Processing for Scanning and Printing
編輯Ilia V. Safonov,Ilya V. Kurilin,Ekaterina V. Tolst
視頻videohttp://file.papertrans.cn/283/282322/282322.mp4
概述Explains the elementary and advanced digital techniques for scanning and printing documents.Discusses the fundamental principles of scanning and copying technologies as well as various advanced topics
叢書名稱Signals and Communication Technology
圖書封面Titlebook: Document Image Processing for Scanning and Printing; Ilia V. Safonov,Ilya V. Kurilin,Ekaterina V. Tolst Book 2019 Springer Nature Switzerl
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..
出版日期Book 2019
關(guān)鍵詞Document scanning technologies; Distortion-free Image Capturing; Image restoration; Automatic cropping;
版次1
doihttps://doi.org/10.1007/978-3-030-05342-0
isbn_ebook978-3-030-05342-0Series ISSN 1860-4862 Series E-ISSN 1860-4870
issn_series 1860-4862
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Document Image Enhancement, pages can contain various types of degradation effects, such as page skew, page warping and the presence of a shadow near the spine area. The correction procedure described herein is capable of detecting whether part of the page is outside the scanning area and would not appear in the image and wil
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Document Image Classification on the Basis of Layout Information,nique; hence, it is completely language independent. Nonetheless, text data are exploited by extracting text regions with a novel . (MSER) approach. The Modified MSER formulation provides great robustness against text distortions in comparison to the existing approach. The two types of novel image d
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Piecewise Scanning and Stitching of Large Originals,fit on the scanner plane, it is possible to scan it in several runs and stitch the partly overlapping parts. This method is based on finding feature points in the images, pairwise image matching and adding images one by one to the resulting large image. For matching, we use linear warping models tha
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Fast Control of JPEG Compression Rate,he vast majority of JPEG rate control approaches, the method solves the task of JPEG rate control by generating custom JPEG quantization tables (QTs). The method includes an adaptive bit count predictor training stage that is optionally followed by a rate-distortion optimization (RDO) stage. The tra
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