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Adaptive image processing algorithms for printing 1st ed.

Author
  • Safonov, Ilia V.
Additional Author(s)
  • Kurilin, Ilya V.
  • Rychagov, Michael N.
  • Tolstaya, Ekaterina V.
Publisher
Singapore: Springer Nature Singapore Pte Ltd., 2018
Language
English
ISBN
9789811069314
Series
Signals and communication technology
Subject(s)
  • PHOTOGRAPHY--PRINTING PROCESSES
  • IMAGE PROCESSING--DIGITAL TECHNIQUES
Notes
. .
Abstract
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 Dimension
Number of Page(s)
1 online resource (xviii, 304 p.)
Dimension
-
Other Desc.
ill. (in color.)
Summary / Review / Table of Content
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.
Exemplar(s)
# Accession No. Call Number Location Status
1.01826/20006.42 Saf AOnline !Available

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