{"id":7890,"date":"2021-04-06T10:56:06","date_gmt":"2021-04-06T08:56:06","guid":{"rendered":"https:\/\/saarland-informatics-campus.de\/?post_type=sic_news&p=7890"},"modified":"2021-04-06T10:56:06","modified_gmt":"2021-04-06T08:56:06","slug":"paintings-from-the-printer-saarbruecken-masters-student-improves-process-for-printing-fine-art-products","status":"publish","type":"sic_news","link":"https:\/\/saarland-informatics-campus.de\/en\/piece-of-news\/paintings-from-the-printer-saarbruecken-masters-student-improves-process-for-printing-fine-art-products\/","title":{"rendered":"Paintings from the printer – Saarbr\u00fccken Master’s Student improves process for printing fine art products"},"content":{"rendered":"

A computer science master’s student at Saarland University shows in his thesis how to produce high-quality fine art printings using commonly available inkjet printers. To achieve this, he has developed an algorithm that can analyze and reproduce a painting down to its optical fingerprint. <\/strong><\/p>\n

In his master\u2019s thesis, Saarland University computer science student Navid Ansari focused on spectral reproduction. \u201cSpectral reproduction is a process that aims to produce an exact spectral copy of an input that has the same optical properties as the original,\u201d says Navid Ansari. In his research project he used the approach to reproduce watercolor paintings. \u201cCompared to a mere color reproduction, the spectral reproduction of a painting looks exactly the same as the original under all possible illuminations,\u201d adds Navid Ansari. This makes the process especially interesting for application scenarios like fine art reproduction in museums or by the artists.<\/p>\n

The novel approach first determines representative points in the template. These so-called ‘core-sets’ cover the entire color spectrum of the prospective print. Based on these core-sets, mixed integer optimization calculates which inks will achieve the best print results. Different from current approaches, the novel algorithm does not refer to the reflectance values of the colors, but instead uses their absorption values \u2013 as in how much light a surface covered with the color absorbs. “Through this inversion we solve a major problem of spectral reproduction, because it reduces the optimization complexity dramatically. This makes our approach the first to be tractable, also for larger ink libraries,” says Navid Ansari.<\/p>\n

For this, the researchers had to optimize their input materials: \u201cCommonly available inkjet printers use factory made ink-cartridges which have fixed optical properties. With such limited available materials, optimal spectral reproduction is not possible. This is why we first had to expand our selection of inks,\u201c says Navid Ansari. The scientists developed an ink-library of 43 different inks which were used for the printings on a commonly available inkjet printer. The paintings for their research were provided by artist Azadeh Asadi.<\/p>\n

Navid Ansari wrote his master’s thesis in the research group “Computation, Appearance and Manufacturing” at the Saarbr\u00fccken Max-Planck-Institute for Informatics at Saarland Informatics Campus. The group led by Vahid Babaei PhD, is investigating how to leverage the full potential of modern manufacturing methods, such as 3D printing or laser marking. “We explore the possibilities of new devices and develop the algorithms to use them to the fullest,” says Vahid Babaei about the group’s work. Building on Navid Ansari’s research, the group’s future projects will include how the concepts behind the novel optimization algorithm can improve material selection in other contexts, such as 3D printing.<\/p>\n

\u00a0<\/strong><\/p>\n

Original Publication:
\n<\/strong>The paper titled \u2018Mixed Integer Ink Selection for Spectral Reproduction\u2019 was published at SIGGRAPH Asia 2020. On the part of the Max-Planck-Institute for Informatics, Navid Ansari, Vahid Babaei and Professor Hans-Peter Seidel were involved. In addition, Omid Alizadeh-Mousavi from the Swiss company Deepsys SA also contributed to the project. A PDF-version of the paper is available under: https:\/\/doi.org\/10.1145\/3414685.3417761<\/a><\/p>\n

 <\/p>\n

\u00a0<\/strong><\/p>\n

\u00a0<\/strong>More Information:<\/strong><\/p>\n

http:\/\/cam.mpi-inf.mpg.de\/?view=home<\/a><\/p>\n

https:\/\/saarland-informatics-campus.de\/<\/a><\/p>\n

https:\/\/www.azadehasadi.com\/<\/a><\/p>\n

 <\/p>\n

Questions can be directed at (English only):
\n<\/strong><\/p>\n

Vahid Babaei, PhD
\nvbabaei@mpi-inf.mpg.de<\/a>
\n+49 681 302 70761<\/p>\n

Navid Ansari, MSc
\nnansari@mpi-inf.mpg.de<\/a><\/p>\n

 <\/p>\n

Background Saarland Informatics Campus:<\/strong>\u2028<\/strong>
\n<\/strong>800 scientists and about 2100 students from more than 80 nations make the Saarland Informatics Campus (SIC) one of the leading locations for computer science in Germany and Europe. Five world-renowned research institutes, namely the German Research Center for Artificial Intelligence (DFKI), the Max Planck Institute for Computer Science, the Max Planck Institute for Software Systems, the Center for Bioinformatics and the Cluster for “Multimodal Computing and Interaction” as well as Saarland University with three departments and 21 degree programs cover the entire spectrum of computer science.<\/p>\n

Editor:<\/strong>\u2028<\/strong>
\nPhilipp Zapf-Schramm
\nCompetence Center Computer Science
\nSaarland Informatics Campus
\nPhone: +49 681 302-70741
\nE-Mail:\u00a0pzapf@mmci.uni-saarland.de<\/strong><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Navid Ansari with the original and the print of the painting “Flower” by Azadeh Asadi @Oliver Dietze<\/p>\n","protected":false},"featured_media":7887,"menu_order":0,"template":"","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":""},"sic_news-types":[56,60],"class_list":["post-7890","sic_news","type-sic_news","status-publish","has-post-thumbnail","hentry","sic_news-types-mpi-inf-en","sic_news-types-uds-en"],"yoast_head":"\nPaintings from the printer - Saarbr\u00fccken Master's Student improves process for printing fine art products - Saarland Informatics Campus<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/saarland-informatics-campus.de\/en\/piece-of-news\/paintings-from-the-printer-saarbruecken-masters-student-improves-process-for-printing-fine-art-products\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Paintings from the printer - 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