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03710nam a2200565 4500 |
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978-981-10-6931-4 |
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DE-He213 |
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20191026012431.0 |
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171101s2018 si | s |||| 0|eng d |
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|a 9789811069314
|9 978-981-10-6931-4
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|a 10.1007/978-981-10-6931-4
|2 doi
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|d GrThAP
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|a TK5102.9
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|a TA1637-1638
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|a TTBM
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|a TEC008000
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|a UYS
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|a 621.382
|2 23
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|a Safonov, Ilia V.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Adaptive Image Processing Algorithms for Printing
|h [electronic resource] /
|c by Ilia V. Safonov, Ilya V. Kurilin, Michael N. Rychagov, Ekaterina V. Tolstaya.
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|a 1st ed. 2018.
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|a Singapore :
|b Springer Singapore :
|b Imprint: Springer,
|c 2018.
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300 |
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|a XVIII, 304 p. 261 illus., 188 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Signals and Communication Technology,
|x 1860-4862
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|a Exposure Correction -- High Dynamic Range Imaging -- Image Processing using EXIF metadata -- Adaptive Sharpening -- Global and local noise reduction -- JPEG-artifacts detection and reduction -- Undesired artifact removal -- Red-eye correction -- Closed-Eye detection -- Image interpolation -- Panoramic images -- Smart cropping -- Still image retargeting -- Auto image rotation -- Anaglyph printing -- 3D printing.
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|a This book presents essential algorithms for the image processing pipeline of photo-printers and accompanying software tools, offering an exposition of multiple image enhancement algorithms, smart aspect-ratio changing techniques for borderless printing and approaches for non-standard printing modes. All the techniques described are content-adaptive and operate in an automatic mode thanks to machine learning reasoning or ingenious heuristics. The first part includes algorithms, for example, red-eye correction and compression artefacts reduction, that can be applied in any photo processing application, while the second part focuses specifically on printing devices, e.g. eco-friendly and anaglyph printing. The majority of the techniques presented have a low computational complexity because they were initially designed for integration in system-on-chip. The book reflects the authors' practical experience in algorithm development for industrial R&D.
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650 |
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|a Signal processing.
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|a Image processing.
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|a Speech processing systems.
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|a Optical data processing.
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|a Signal, Image and Speech Processing.
|0 http://scigraph.springernature.com/things/product-market-codes/T24051
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650 |
2 |
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|a Image Processing and Computer Vision.
|0 http://scigraph.springernature.com/things/product-market-codes/I22021
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700 |
1 |
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|a Kurilin, Ilya V.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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700 |
1 |
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|a Rychagov, Michael N.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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700 |
1 |
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|a Tolstaya, Ekaterina V.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
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|t Springer eBooks
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776 |
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|i Printed edition:
|z 9789811069307
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776 |
0 |
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|i Printed edition:
|z 9789811069321
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776 |
0 |
8 |
|i Printed edition:
|z 9789811349713
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830 |
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|a Signals and Communication Technology,
|x 1860-4862
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856 |
4 |
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|u https://doi.org/10.1007/978-981-10-6931-4
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-ENG
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950 |
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|a Engineering (Springer-11647)
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