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Color Texture Restoration
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SYSNO ASEP 0446068 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Color Texture Restoration Author(s) Haindl, Michal (UTIA-B) RID, ORCID
Havlíček, Vojtěch (UTIA-B) RIDNumber of authors 2 Source Title IEEE 7th International Conferences on Cybernetics and Intelligent Systems (CIS), and Robotics, Automation and Mechatronics (RAM), CIS. - 445 Hoes Lane, Piscataway, NJ 08854, USA : IEEE, 2015 - ISBN 978-1-4673-7337-1 Pages s. 13-18 Number of pages 6 s. Publication form Online - E Action 7th IEEE International Conferences on Cybernetics and Intelligent Systems (CIS), and Robotics, Automation and Mechatronics (RAM) Event date 17.07.2015-17.07.2015 VEvent location Siem Reap Country KH - Cambodia Event type WRD Language eng - English Country US - United States Keywords Texture restoration ; Gaussian mixture model Subject RIV BD - Theory of Information R&D Projects GA14-10911S GA ČR - Czech Science Foundation (CSF) Institutional support UTIA-B - RVO:67985556 UT WOS 000380472300003 EID SCOPUS 84960892963 DOI 10.1109/ICCIS.2015.7274540 Annotation Visual texture restoration strives not necessarily to recover the exact pixel-wise correspondence with some original unobservable texture but rather a texture which is visually indiscernible from the original one. This differs from the standard image restoration objective so it can consequently lead to different restoration techniques. A novel multispectral texture restoration method, capable to reduce simultaneously additive noise and to restore missing textural parts is presented. The restoration method is based on a descriptive, unusually complex, three-dimensional, spatial Gaussian mixture model. The model is inherently multispectral thus it does not suffer with the spectral quality compromises of the most alternative approaches. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2016
Number of the records: 1