Adaptive Image Processing Algorithms for Printing

£129.50

Adaptive Image Processing Algorithms for Printing

Electronics engineering Computer vision Digital signal processing (DSP)

Authors: Ilia V. Safonov, Ilya V. Kurilin, Michael N. Rychagov, Ekaterina V. Tolstaya

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Collection: Signals and Communication Technology

Language: English

Published by: Springer

Published on: 31st October 2017

Format: LCP-protected ePub

Size: 13 Mb

ISBN: 9789811069314


Overview

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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