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020 _a9789811069314
024 7 _a10.1007/978-981-10-6931-4
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTK5102.9 2018 EB
100 1 _aSafonov, Ilia V
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aAdaptive Image Processing Algorithms for Printing
_cby Ilia V. Safonov, Ilya V. Kurilin, Michael N. Rychagov, Ekaterina V. Tolstaya.
264 1 _aSingapore
_bSpringer International Publishing
_c2018
300 _a1 recurso en línea (XVIII, 304 páginas 261 ilustraciones, 188 ilustraciones a color)
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aSignals and Communication Technology
_x1860-4862
490 0 _aEngineering (Springer-11647)
505 0 _aExposure 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 3 _aThis 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.
988 _aEBSPRINGER_2018
650 7 _aProceso de señales
_2embne
_9150608
650 7 _aComputer vision
_2embne
700 1 _aKurilin, Ilya V
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aRychagov, Michael N
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aTolstaya, Ekaterina V
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_1http://viaf.org/viaf/297162800/
776 0 8 _iEdición impresa:
_z9789811069307
776 0 8 _iEdición impresa:
_z9789811069321
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-10-6931-4
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b02/2019
_dz
_ek
_feng
_ggw
_h0