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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Bibliographic Details
Main Authors: Safonov, Ilia V. (Author), Kurilin, Ilya V. (Author), Rychagov, Michael N. (Author), Tolstaya, Ekaterina V. (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Singapore : Springer Nature Singapore : 2018.
Imprint: Springer,
Edition:1st ed. 2018.
Series:Signals and Communication Technology,
Subjects:
Signal processing.
Computer vision.
Signal, Speech and Image Processing.
Computer Vision.
Online Access:Full-text access
Description
Summary: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.
Physical Description:XVIII, 304 p. 261 illus., 188 illus. in color. online resource.
ISBN:9789811069314
ISSN:1860-4870
DOI:10.1007/978-981-10-6931-4

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