國立虎尾科技大學 |

Document Image Processing for Scanning and Printing

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Document Image Processing for Scanning and Printing / by Ilia V. Safonov, Ilya V. Kurilin, Michael N. Rychagov, Ekaterina V. Tolstaya.
作者:	Safonov, Ilia V.
其他作者:	Kurilin, Ilya V.
面頁冊數:	XVIII, 305 p. 249 illus., 165 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Signal processing. -
電子資源:	https://doi.org/10.1007/978-3-030-05342-0
ISBN:	9783030053420

Document Image Processing for Scanning and Printing
Safonov, Ilia V.

Document Image Processing for Scanning and Printing [electronic resource] /by Ilia V. Safonov, Ilya V. Kurilin, Michael N. Rychagov, Ekaterina V. Tolstaya. - 1st ed. 2019. - XVIII, 305 p. 249 illus., 165 illus. in color.online resource. - Signals and Communication Technology,1860-4862. - Signals and Communication Technology,.

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.

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. .

ISBN: 9783030053420

Standard No.: 10.1007/978-3-030-05342-0doiSubjects--Topical Terms:

561459
Signal processing.

LC Class. No.: TK5102.9

Dewey Class. No.: 621.382

Document Image Processing for Scanning and Printing
LDR:03413nam a22004215i 4500 001 1006155
003 DE-He213
005 20200704065149.0
007 cr nn 008mamaa
008 210106s2019 gw | s |||| 0|eng d
020 $a 9783030053420 $9 978-3-030-05342-0
024 7 $a 10.1007/978-3-030-05342-0 $2 doi
035 $a 978-3-030-05342-0
050 4 $a TK5102.9
050 4 $a TA1637-1638
072 7 $a TTBM $2 bicssc
072 7 $a TEC008000 $2 bisacsh
072 7 $a TTBM $2 thema
072 7 $a UYS $2 thema
082 0 4 $a 621.382 $2 23
100 1 $a Safonov, Ilia V. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1288382
245 1 0 $a Document Image Processing for Scanning and Printing $h [electronic resource] / $c by Ilia V. Safonov, Ilya V. Kurilin, Michael N. Rychagov, Ekaterina V. Tolstaya.
250 $a 1st ed. 2019.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a XVIII, 305 p. 249 illus., 165 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Signals and Communication Technology, $x 1860-4862
505 0 $a 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.
520 $a 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. .
650 0 $a Signal processing. $3 561459
650 0 $a Image processing. $3 557495
650 0 $a Speech processing systems. $3 564428
650 0 $a Optical data processing. $3 639187
650 1 4 $a Signal, Image and Speech Processing. $3 670837
650 2 4 $a Image Processing and Computer Vision. $3 670819
700 1 $a Kurilin, Ilya V. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1288383
700 1 $a Rychagov, Michael N. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1288384
700 1 $a Tolstaya, Ekaterina V. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1288385
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030053413
776 0 8 $i Printed edition: $z 9783030053437
830 0 $a Signals and Communication Technology, $x 1860-4862 $3 1254245
856 4 0 $u https://doi.org/10.1007/978-3-030-05342-0
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)