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Book synopsis

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.

Book details

Book category Books in English Technology, engineering, agriculture Industrial chemistry & manufacturing technologies Other manufacturing technologies

• Full title: Adaptive Image Processing Algorithms for Printing
• Author: Ilia V. Safonov, Ilya V. Kurilin, Michael N. Rychagov, Ekaterina V. Tolstaya
• Language: English
• Binding: Hardback
• Number of pages: 304
• EAN: 9789811069307
• ISBN: 9811069301
• ID: 18185851
• Publisher: Springer Verlag, Singapore
• Weight: 6092 g
• Dimensions: 235 × 155 × 20 mm
• Date of publishing: 10. November 2017

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