Title :
Robust influence functionals for image filtering
Author :
Hamza, A. Ben ; Krim, Hamid
Author_Institution :
Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
Abstract :
Based on nonparametric statistics, we propose robust variational filters for image denoising. The approach is a result of optimizing smooth statistical influence functionals subject to some noise constraints. Substantiating numerical examples are provided to demonstrate the potential and the good performance of the proposed algorithms in environmental image filtering.
Keywords :
functional analysis; image denoising; nonparametric statistics; optimisation; smoothing methods; environmental image filtering; image denoising; noise constraints; nonparametric statistics; robust variational filters; statistical influence functionals; Calculus; Degradation; Filtering; Filters; Gaussian noise; Image denoising; Noise robustness; Signal processing; Statistics; Working environment noise;
Conference_Titel :
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
Print_ISBN :
0-7803-7750-8
DOI :
10.1109/ICIP.2003.1247256
