Advertisement

Adaptive Image Processing Algorithms for Printing

  • Ilia V. Safonov
  • Ilya V. Kurilin
  • Michael N. Rychagov
  • Ekaterina V. Tolstaya

Part of the Signals and Communication Technology book series (SCT)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Ilia V. Safonov, Ilya V. Kurilin, Michael N. Rychagov, Ekaterina V. Tolstaya
    Pages 1-39
  3. V. Ilia Safonov, V. Ilya Kurilin, N. Michael Rychagov, V. Ekaterina Tolstaya
    Pages 41-63
  4. Ilia V. Safonov, Ilya V. Kurilin, Michael N. Rychagov, Ekaterina V. Tolstaya
    Pages 65-83
  5. Ilia V. Safonov, Ilya V. Kurilin, Michael N. Rychagov, Ekaterina V. Tolstaya
    Pages 85-104
  6. Ilia V. Safonov, Ilya V. Kurilin, Michael N. Rychagov, Ekaterina V. Tolstaya
    Pages 105-142
  7. Ilia V. Safonov, Ilya V. Kurilin, Michael N. Rychagov, Ekaterina V. Tolstaya
    Pages 143-167
  8. Ilia V. Safonov, Ilya V. Kurilin, Michael N. Rychagov, Ekaterina V. Tolstaya
    Pages 169-193
  9. V. Ilia Safonov, V. Ilya Kurilin, N. Michael Rychagov, V. Ekaterina Tolstaya
    Pages 195-215
  10. Ilia V. Safonov, Ilya V. Kurilin, Michael N. Rychagov, Ekaterina V. Tolstaya
    Pages 217-240
  11. IliaV. Safonov, IlyaV. Kurilin, MichaelN. Rychagov, EkaterinaV. Tolstaya
    Pages 241-258
  12. Ilia V. Safonov, Ilya V. Kurilin, Michael N. Rychagov, Ekaterina V. Tolstaya
    Pages 259-268
  13. Ilia V. Safonov, Ilya V. Kurilin, Michael N. Rychagov, Ekaterina V. Tolstaya
    Pages 269-277
  14. Ilia V. Safonov, Ilya V. Kurilin, Michael N. Rychagov, Ekaterina V. Tolstaya
    Pages 279-293
  15. Ilia V. Safonov, Ilya V. Kurilin, Michael N. Rychagov, Ekaterina V. Tolstaya
    Pages 295-304

About this book

Introduction

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.

Keywords

Exposure Correction High Dynamic Range Imaging HDRI Adaptive Sharpening noise reduction JPEG-artifacts Red-eye correction Closed-Eye detection Image interpolation Smart cropping Still image retargeting Auto image rotation Anaglyph printing

Authors and affiliations

  • Ilia V. Safonov
    • 1
  • Ilya V. Kurilin
    • 2
  • Michael N. Rychagov
    • 3
  • Ekaterina V. Tolstaya
    • 4
  1. 1.MoscowRussia
  2. 2.MoscowRussia
  3. 3.MoscowRussia
  4. 4.MoscowRussia

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-10-6931-4
  • Copyright Information Springer Nature Singapore Pte Ltd. 2018
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering
  • Print ISBN 978-981-10-6930-7
  • Online ISBN 978-981-10-6931-4
  • Series Print ISSN 1860-4862
  • Series Online ISSN 1860-4870
  • Buy this book on publisher's site
Industry Sectors
Pharma
Automotive
Biotechnology
Finance, Business & Banking
Electronics
IT & Software
Telecommunications
Consumer Packaged Goods
Aerospace
Oil, Gas & Geosciences
Engineering