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Adaptive image processing algorithms for printing

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Safonov, Ilia V. Kurilin, Ilya V. Springer Nature Singapore Pte Ltd. (Singapore, 2018) (eng) English 9789811069314 Signals and communication technology 1st ed. IMAGE PROCESSING--DIGITAL TECHNIQUES; Unknown 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
1 online resource (xviii, 304 p.) Unknown ill. (in color.)

Summary / review / table of contents

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.


Copies
Access no. Call number Location Status
01826/20 006.42 Saf A Online Available