Adaptive Image Processing Algorithms for Printing
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....
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| Hlavní autor: | |
|---|---|
| Médium: | Elektronický zdroj E-kniha |
| Jazyk: | angličtina |
| Vydáno: |
Singapore :
Springer Singapore ,
2018.
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| Vydání: | 1st ed. 2018. |
| Edice: | Signals and Communication Technology,
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| Témata: | |
| ISBN: | 9789811069314 |
| ISSN: | 1860-4862 |
| On-line přístup: |
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|---|---|---|---|
| 003 | SK-BrCVT | ||
| 005 | 20220618115010.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 171101s2018 si | s |||| 0|eng d | ||
| 020 | |a 9789811069314 | ||
| 024 | 7 | |a 10.1007/978-981-10-6931-4 |2 doi | |
| 035 | |a CVTIDW06430 | ||
| 040 | |a Springer-Nature |b eng |c CVTISR |e AACR2 | ||
| 041 | |a eng | ||
| 100 | 1 | |a Safonov, Ilia V. |4 aut | |
| 245 | 1 | 0 | |a Adaptive Image Processing Algorithms for Printing |h [electronic resource] / |c by Ilia V. Safonov, Ilya V. Kurilin, Michael N. Rychagov, Ekaterina V. Tolstaya. |
| 250 | |a 1st ed. 2018. | ||
| 260 | 1 | |a Singapore : |b Springer Singapore , |c 2018. | |
| 300 | |a XVIII, 304 p. 261 illus., 188 illus. in color. |b online resource. | ||
| 490 | 1 | |a Signals and Communication Technology, |x 1860-4862 | |
| 500 | |a Engineering | ||
| 505 | 0 | |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. | |
| 516 | |a text file PDF | ||
| 520 | |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. | ||
| 650 | 0 | |a Signal processing. | |
| 650 | 0 | |a Image processing. | |
| 650 | 0 | |a Speech processing systems. | |
| 650 | 0 | |a Optical data processing. | |
| 856 | 4 | 0 | |u http://hanproxy.cvtisr.sk/han/cvti-ebook-springer-eisbn-978-981-10-6931-4 |y Vzdialený prístup pre registrovaných používateľov |
| 910 | |b ZE03710 | ||
| 919 | |a 978-981-10-6931-4 | ||
| 974 | |a andrea.lebedova |f Elektronické zdroje | ||
| 992 | |a SUD | ||
| 999 | |c 272428 |d 272428 | ||