المؤلفون: Hanif, Muhammad, Tonazzini, Anna, Savino, Pasquale, Salerno, Emanuele, Tsagkatakis, Gregory

المصدر: 2018 13th IAPR International Workshop on Document Analysis Systems (DAS) DAS Document Analysis Systems (DAS), 2018 13th IAPR International Workshop on. :281-286 Apr, 2018

Relation: 2018 13th IAPR International Workshop on Document Analysis Systems (DAS)

المؤلفون: Muhammad Hanif, Anna Tonazzini, Pasquale Savino, Emanuele Salerno

المصدر: Journal of Imaging, Vol 4, Iss 5, p 68 (2018)

مصطلحات موضوعية: ancient document restoration, image inpainting, bleed-through removal, sparse representation, Photography, TR1-1050, Computer applications to medicine. Medical informatics, R858-859.7, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: http://www.mdpi.com/2313-433X/4/5/68; https://doaj.org/toc/2313-433X

URL الوصول: https://doaj.org/article/5020ec3298da49d19f7323a218c29fde

المؤلفون: Pasquale Savino, Emanuele Salerno, Muhammad Hanif, Anna Tonazzini

المصدر: JOURNAL OF IMAGING 4 (2018). doi:10.3390/jimaging4050068
info:cnr-pdr/source/autori:Hanif M.; Tonazzini A.; Savino P.; Salerno E./titolo:Non-local sparse image inpainting for document bleed-through removal/doi:10.3390%2Fjimaging4050068/rivista:JOURNAL OF IMAGING/anno:2018/pagina_da:/pagina_a:/intervallo_pagine:/volume:4
Journal of Imaging; Volume 4; Issue 5; Pages: 68
Journal of Imaging, Vol 4, Iss 5, p 68 (2018)

مصطلحات موضوعية: Similarity (geometry), Sparse image, Computer science, ancient document restoration, image inpainting, bleed-through removal, sparse representation, Inpainting, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 02 engineering and technology, lcsh:Computer applications to medicine. Medical informatics, lcsh:QA75.5-76.95, GeneralLiterature_MISCELLANEOUS, Image (mathematics), Distortion, 0202 electrical engineering, electronic engineering, information engineering, Radiology, Nuclear Medicine and imaging, lcsh:Photography, Electrical and Electronic Engineering, Sparse representation, ComputingMethodologies_COMPUTERGRAPHICS, Ancient document restoration, Pixel, business.industry, 020206 networking & telecommunications, Pattern recognition, Sparse approximation, Bleed-through removal, lcsh:TR1-1050, Computer Graphics and Computer-Aided Design, Image inpainting, lcsh:R858-859.7, DECIPHER, 020201 artificial intelligence & image processing, lcsh:Electronic computers. Computer science, Computer Vision and Pattern Recognition, Artificial intelligence, business

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d98d10a7e2a429572488368875e5c02b
http://www.mdpi.com/2313-433X/4/5/68

المؤلفون: Muhammad Hanif, Anna Tonazzini, Emanuele Salerno, Pasquale Savino, Gregory Tsagkatakis

المصدر: DAS 2018-13th IAPR International Workshop on Document Analysis Systems, pp. 281–286, Vienna, Austria, 24-27 April 2018
info:cnr-pdr/source/autori:Hanif M.; Tonazzini A.; Savino P.; Salerno E.; Tsagkatakis G./congresso_nome:DAS 2018-13th IAPR International Workshop on Document Analysis Systems/congresso_luogo:Vienna, Austria/congresso_data:24-27 April 2018/anno:2018/pagina_da:281/pagina_a:286/intervallo_pagine:281–286
DAS

مصطلحات موضوعية: Sparse image, Ancient document restoration, Pixel, business.industry, Computer science, Inpainting, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 020206 networking & telecommunications, 02 engineering and technology, Sparse approximation, Bleed-through removal, Image (mathematics), Digital image, Distortion, 0202 electrical engineering, electronic engineering, information engineering, Image inpainting, 020201 artificial intelligence & image processing, Computer vision, Artificial intelligence, business, Sparse representation, Image restoration

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b11689f3e066aeefce4c63bdc9e1768d
https://ieeexplore.ieee.org/document/8395209/

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