Nonlinear fuzzy operators for image processing
Proceedings of of the IEEE winter workshop on Nonlinear digital signal processing
Image Filtering, Edge Detection, and Edge Tracing Using Fuzzy Reasoning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fuzzy Weighted Average Filtering for Mixture Noises
ICIG '04 Proceedings of the Third International Conference on Image and Graphics
Nonlinear location and scale estimators of fuzzy numbers
IEEE Transactions on Signal Processing
A robust approach to image enhancement based on fuzzy logic
IEEE Transactions on Image Processing
Fuzzy homogeneity approach to multilevel thresholding
IEEE Transactions on Image Processing
Analytical solution methods for the fuzzy weighted average
Information Sciences: an International Journal
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Monte Carlo is a powerful tool for the computation of global illumination. However noises, which are resulted from the low convergence of Monte Carlo, are noticeable for the synthesized image with global illumination effects and can be regarded as the combination of Gaussian noise and impulse noise. Filter is a cheap way to eliminate noises. In this paper, we investigate nonlinear filtering techniques to reduce the mixturing noise. Based on fuzzy theory, we present an adaptive weighted average filter to optimize the weighs of the filters. Analysis and the computational results, which have been obtained from experiments for noise attenuation and edge preservation, indicate that the new algorithm is promising.