Title :
Impulse noise detection using Laplacian operators and fuzzy logic
Author_Institution :
Dept. of Electr. & Comput. Eng., Binghamton Univ., NY, USA
Abstract :
An impulse noise detection method for decision-based or switching filters is presented, which uses one-dimensional Laplacian operators. Fuzzy logic has been used to further improve the performance of the proposed detector. Extensive simulations show that the proposed methods provide better performance than the existing techniques. The non-fuzzy method also has the advantage of computational simplicity.
Keywords :
Laplace equations; computational complexity; filtering theory; fuzzy logic; image denoising; impulse noise; mathematical operators; mean square error methods; median filters; signal detection; 1D Laplacian operators; MSE; computational complexity; computational simplicity; decision-based filters; detector performance; fuzzy logic; image detail preservation; impulse noise detection; mean square error; noise suppression; nonfuzzy method; one-dimensional Laplacian operators; simulations; switching median filters; Computational modeling; Convolution; Detectors; Filters; Fuzzy logic; Image edge detection; Kernel; Laplace equations; Pixel; Samarium;
Conference_Titel :
Signal Processing, 2002 6th International Conference on
Print_ISBN :
0-7803-7488-6
DOI :
10.1109/ICOSP.2002.1181188
