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Adaptive Image Processing Algorithms for Printing

Adaptive Image Processing Algorithms for Printing

autor:
Ilia V. Safonov; Ilya V. Kurilin; Michael N. Rychagov
 
editor:
Springer Singapore
 
edição:
1
 
ano de publicação:
2018
 
idioma:
Inglês
 
ISBN:
9789811069314
 
nº de páginas:
312
 
formato:
ileio (leitura online e APP)
 

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.

Informação indisponível.

Pessoal
Tipo de licença Permissão de impressão
Acesso Perpétuo 31 páginas a cada 30 dias


Leitura online: um utilizador por sessão (sem simultaneidade)
Leitura offline (com a APP): máximo de 2 dispositivos em simultâneo

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