LEADER 04196nam  22005775  450 
001 9910337638303321
005 20200704065149.0
010   $a3-030-05342-3
024 7 $a10.1007/978-3-030-05342-0
035   $a(CKB)4100000007817088
035   $a(MiAaPQ)EBC5741653
035   $a(DE-He213)978-3-030-05342-0
035   $a(PPN)235231517
035   $a(EXLCZ)994100000007817088
100   $a20190325d2019      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aDocument Image Processing for Scanning and Printing  /$fby Ilia V. Safonov, Ilya V. Kurilin, Michael N. Rychagov, Ekaterina V. Tolstaya
205   $a1st ed. 2019.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019.
215   $a1 online resource (305 pages)
225 1 $aSignals and Communication Technology,$x1860-4862
311   $a3-030-05341-5 
327   $aDistortion-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.
330   $aThis book continues first one of the same authors ?Adaptive Image Processing Algorithms for Printing? and presents methods and software solutions for copying and scanning various types of documents by conventional office equipment, offering techniques for correction of distortions and enhancement of scanned documents; techniques for automatic cropping and de-skew; approaches for segmentation of text and picture regions; documents classifiers; approach for vectorization of symbols by approximation of their contour by curves; methods for optimal compression of scanned documents, algorithm for stitching parts of large originals; copy-protection methods by microprinting and embedding of hidden information to hardcopy; algorithmic approach for toner saving. In addition, method for integral printing is considered. Described techniques operate in automatic mode thanks to machine learning or ingenious heuristics. Most the techniques presented have a low computational complexity and memory consumption due to they were designed for firmware of embedded systems or software drivers. The book reflects the authors? practical experience in algorithm development for industrial R&D. .
410  0$aSignals and Communication Technology,$x1860-4862
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aOptical data processing
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aOptical data processing.
615 14$aSignal, Image and Speech Processing.
615 24$aImage Processing and Computer Vision.
676   $a621.367
676   $a006.42
700   $aSafonov$b Ilia V$4aut$4http://id.loc.gov/vocabulary/relators/aut$0999617
702   $aKurilin$b Ilya V$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aRychagov$b Michael N$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aTolstaya$b Ekaterina V$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910337638303321
996   $aDocument Image Processing for Scanning and Printing$92294609
997   $aUNINA