New digit-serial implementations of stack filters
Signal Processing
Nonlinear image processing
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
LUM smoother with smooth control for noisy image sequences
EURASIP Journal on Applied Signal Processing
3-D Image Processing Algorithms
3-D Image Processing Algorithms
Fuzzy Theory Systems: Techniques and Applications
Fuzzy Theory Systems: Techniques and Applications
Implementation of 3-D Adaptive LUM Smoother in Reconfigurable Hardware
FPL '02 Proceedings of the Reconfigurable Computing Is Going Mainstream, 12th International Conference on Field-Programmable Logic and Applications
A noise-filtering method using a local information measure
IEEE Transactions on Image Processing
Tri-state median filter for image denoising
IEEE Transactions on Image Processing
Noise adaptive soft-switching median filter
IEEE Transactions on Image Processing
Noise reduction of image sequences using motion compensation and signal decomposition
IEEE Transactions on Image Processing
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In this paper, an effective image filtering approach for the impulsive noise suppression with the simultaneous signal-detail preservation is presented. The novelty of the proposed method lies in the combination of the LUM (lower-upper-middle) smoothing characteristics and the neural network. The included LUM-based impulse detector improves the signal-detail preservation capability of the proposed method, whereas the neural network along with the input LUM smoothers guarantee its noise attenuation capability. Since the LUM operation can be very efficiently implemented, the proposed method is computationally attractive and useful for practical image filtering applications.