DocumentCode :
3658849
Title :
Color texture restoration
Author :
Michal Haindl;Vojtěch Havlíček
Author_Institution :
Institute of Information Theory and Automation of the CAS, Prague, Czech Republic 182 08
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
13
Lastpage :
18
Abstract :
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.
Keywords :
"Image restoration","Computational modeling","Additive noise","Visualization","Covariance matrices","Conferences"
Publisher :
ieee
Conference_Titel :
Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM), 2015 IEEE 7th International Conference on
Print_ISBN :
978-1-4673-7337-1
Electronic_ISBN :
2326-8239
Type :
conf
DOI :
10.1109/ICCIS.2015.7274540
Filename :
7274540
Link To Document :
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