Title :
A new impulse detector for switching median filters
Author :
Zhang, Shuqun ; Karim, Mohammad A.
Author_Institution :
Dept. of Electr. & Comput. Eng., State Univ. of New York, Binghamton, NY, USA
Abstract :
A new impulse noise detection technique for switching median filters is presented, which is based on the minimum absolute value of four convolutions obtained using one-dimensional Laplacian operators. Extensive simulations show that the proposed filter provides better performance than many of the existing switching median filters with comparable computational complexity. In particular, the proposed filter is directed toward improved line preservation.
Keywords :
computational complexity; convolution; filtering theory; image restoration; impulse noise; median filters; computational complexity; convolution; image details preservation; impulse detector; impulse noise detection; line preservation; one-dimensional Laplacian operators; switching median filters; Computational complexity; Computational modeling; Detectors; Filters; Image edge detection; Kernel; Laplace equations; Object detection; Pixel; Samarium;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2002.805310
