Adaptive Image Processing Algorithms for Printing (Paperback, Softcover reprint of the original 1st ed. 2018)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Signals and Communication Technology
Release date:	2019
First published:	2018
Authors:	Ilia V. Safonov • Ilya V. Kurilin • Michael N. Rychagov • Ekaterina V. Tolstaya
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	304
Edition:	Softcover reprint of the original 1st ed. 2018
ISBN-13:	978-981-13-4971-3
Categories:	Books > Computing & IT > Applications of computing > Image processing > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General Promotions
LSN:	981-13-4971-1
Barcode:	9789811349713

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