0350358 20240103194215.620101129235959.9 10.2312/LocalChapterEvents/ItalChap/ItalianChapConf2010/001-007 7 s. cav_un_epca*0350357978-3-905673-80-71-7JanovThe Eurographics Association2010PuppoE.BrogniA.de FlorianiL. Image Processing Application Document Capture Document Analysis cav_un_auth*0265690 Bianco G. IT cav_un_auth*0265691 Bruno F. IT cav_un_auth*0265693 Tonazzini A. IT cav_un_auth*0265692 Salerno E. IT cav_un_auth*0266171 Savino P. IT cav_un_auth*0101238 Zitová Barbara Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101209 Šroubek Filip Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0266172 Console E. IT http://library.utia.cas.cz/separaty/2010/ZOI/zitova-a framework for virtual restoration of ancient documents by combination of multispectral and 3d imaging.pdf 1M0572 GA MŠk cav_un_auth*0001814 GA102/08/1593 GA ČR cav_un_auth*0239572 CEZ:AV0Z10750506 Our paper presents a framework for virtual restoration of ancient documents based on a combination of multispectral acquisition, 3D imaging and digital image analysis. The proposed framework consists of several steps. First, digital representations of the documents are acquired as multispectral images and 3D surface maps, the latter reconstructed by a structured light technique. A multispectral camera and a digital projector are used in triangular configuration for 2D and 3D data acquisition. Then the multispectral images are registered against possible misalignments, and the 3D surface representation is used to correct geometrical distortions. Document flattening is then performed by 3D surface parameterization and texture mapping. Statistical techniques of decorrelation are applied to extract individual context parts of the document patterns (stamp, text, etc.) and to attenuate interferences. The processed data are then binarized by the proper segmentation technique. cav_un_auth*0266173 Eurographics Italian Chapter Conference Janov 18.11.2010-19.11.2010 IT 2011 JD http://hdl.handle.net/11104/0190377 2010 cav_un_epca*0350357 Eurographics Italian Chapter Conference 978-3-905673-80-7 1 7 Janov The Eurographics Association 2010 Puppo E. 340 Brogni A. 340 de Floriani L. 340