DocumentCode :
2835798
Title :
Adaptive filtering of raster map images using optimal context selection
Author :
Chen, Minjie ; Xu, Mantao ; Fränti, Pasi
Author_Institution :
Univ. of Eastern Finland, Joensuu, Finland
fYear :
2011
fDate :
11-14 Sept. 2011
Firstpage :
77
Lastpage :
80
Abstract :
Filtering of raster map images or more general class of palette-indexed images is considered as a discrete denoising problem with finite color output. Statistical features of local context are used to avoid damages of some specific but frequently occurring contexts caused by conventional filters. Several context-based approaches have been developed using either fixed context templates or context tree modeling. However, these algorithms fail to reveal the local geometrical structures when the underlying contexts are also contaminated. To address this problem, we propose a novel context-based voting method to identify the possible noisy pixels, which are excluded in the context selection and optimization. Experimental results show that the proposed context based filtering outperforms all other existing filters both for impulsive and Gaussian additive noise.
Keywords :
Gaussian noise; adaptive filters; image colour analysis; image denoising; optimisation; statistical analysis; Gaussian additive noise; adaptive filtering; discrete denoising; finite color output; local geometrical structures; optimal context selection; optimization; palette-indexed images; raster map images; statistical features; Colored noise; Context; Context modeling; Filtering; Image color analysis; Noise measurement; Nonlinear filters; context modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location :
Brussels
ISSN :
1522-4880
Print_ISBN :
978-1-4577-1304-0
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2011.6116671
Filename :
6116671
Link To Document :
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