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Adaptive Image Processing Algorithms...

Safonov, Ilia V.

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Adaptive Image Processing Algorithms for Printing

Record Type:	Electronic resources : Monograph/item
Title/Author:	Adaptive Image Processing Algorithms for Printing/ by Ilia V. Safonov ... [et al.].
other author:	Safonov, Ilia V.
Published:	Singapore :Springer Singapore : : 2018.,
Description:	xviii, 304 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Image processing - Digital techniques. -
Online resource:	http://dx.doi.org/10.1007/978-981-10-6931-4
ISBN:	9789811069314

Adaptive Image Processing Algorithms for Printing
Adaptive Image Processing Algorithms for Printing[electronic resource] /by Ilia V. Safonov ... [et al.]. - Singapore :Springer Singapore :2018. - xviii, 304 p. :ill. (some col.), digital ;24 cm. - Signals and communication technology,1860-4862. - Signals and communication technology..

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.

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.

ISBN: 9789811069314

Standard No.: 10.1007/978-981-10-6931-4doiSubjects--Topical Terms:

532550
Image processing
--Digital techniques.

LC Class. No.: TA1637 / .A337 2018

Dewey Class. No.: 006.42

Adaptive Image Processing Algorithms for Printing
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024 7 $a 10.1007/978-981-10-6931-4 $2 doi
035 $a 978-981-10-6931-4
040 $a GP $c GP
041 0 $a eng
050 4 $a TA1637 $b .A337 2018
072 7 $a TTBM $2 bicssc
072 7 $a UYS $2 bicssc
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245 0 0 $a Adaptive Image Processing Algorithms for Printing $h [electronic resource] / $c by Ilia V. Safonov ... [et al.].
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2018.
300 $a xviii, 304 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Signals and communication technology, $x 1860-4862
505 0 $a 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.
520 $a 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.
650 0 $a Image processing $x Digital techniques. $3 532550
650 0 $a Photography $x Printing processes. $3 1063977
650 1 4 $a Engineering. $3 586835
650 2 4 $a Signal, Image and Speech Processing. $3 891073
650 2 4 $a Image Processing and Computer Vision. $3 891070
700 1 $a Safonov, Ilia V. $3 3298748
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Signals and communication technology. $3 1565543
856 4 0 $u http://dx.doi.org/10.1007/978-981-10-6931-4
950 $a Engineering (Springer-11647)