00879cam0 2200265 450 E60020003757120240521080028.020080610d2002 |||||ita|0103 baitaITNuovi soggetti nomadiRosi Braidotticur.Anna Maria CrispinoRomaLuca Sossella editore2002201 p.22 pET6001SOBE000804482001 *ET6Braidotti, RosiAF00011511070162901ITUNISOB20240521RICAUNISOBUNISOBFondo|E|Unisob138988E600200037571M 102 Monografia moderna SBNMFondo|E|Unisob000069RIS138988EunisobacquistopomicinoUNISOBUNISOB20080610074837.020150922122703.0catenacciNuovi soggetti nomadi1017801UNISOB03749nam 22006135 450 991029956480332120200706034628.0981-10-6931-X10.1007/978-981-10-6931-4(CKB)4100000001039288(DE-He213)978-981-10-6931-4(MiAaPQ)EBC5119447(PPN)221252290(EXLCZ)99410000000103928820171101d2018 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierAdaptive Image Processing Algorithms for Printing /by Ilia V. Safonov, Ilya V. Kurilin, Michael N. Rychagov, Ekaterina V. Tolstaya1st ed. 2018.Singapore :Springer Singapore :Imprint: Springer,2018.1 online resource (XVIII, 304 p. 261 illus., 188 illus. in color.) Signals and Communication Technology,1860-4862981-10-6930-1 Includes bibliographical references.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.Signals and Communication Technology,1860-4862Signal processingImage processingSpeech processing systemsOptical data processingSignal, Image and Speech Processinghttps://scigraph.springernature.com/ontologies/product-market-codes/T24051Image Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Signal processing.Image processing.Speech processing systems.Optical data processing.Signal, Image and Speech Processing.Image Processing and Computer Vision.621.367Safonov Ilia Vauthttp://id.loc.gov/vocabulary/relators/aut999617Kurilin Ilya Vauthttp://id.loc.gov/vocabulary/relators/autRychagov Michael Nauthttp://id.loc.gov/vocabulary/relators/autTolstaya Ekaterina Vauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910299564803321Adaptive Image Processing Algorithms for Printing2535147UNINA