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