Color Texture Restoration

0446068 - ÚTIA 2016 RIV US eng C - Conference Paper (international conference)
Haindl, Michal - Havlíček, Vojtěch
Color Texture Restoration.
IEEE 7th International Conferences on Cybernetics and Intelligent Systems (CIS), and Robotics, Automation and Mechatronics (RAM). 445 Hoes Lane, Piscataway, NJ 08854, USA: IEEE, 2015, s. 13-18. ISBN 978-1-4673-7337-1.
[7th IEEE International Conferences on Cybernetics and Intelligent Systems (CIS), and Robotics, Automation and Mechatronics (RAM). Siem Reap (KH), 17.07.2015-17.07.2015]
R&D Projects: GA ČR(CZ) GA14-10911S
Institutional support: RVO:67985556
Keywords : Texture restoration * Gaussian mixture model
Subject RIV: BD - Theory of Information
http://library.utia.cas.cz/separaty/2015/RO/haindl-0446068.pdf

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.
Permanent Link: http://hdl.handle.net/11104/0248313