α-Trimmed lexicographical extrema for pseudo-morphological image analysis
Journal of Visual Communication and Image Representation
Robust methods for AOA geo-location in a real-time indoor WiFi system
Journal of Location Based Services
Extractive Support Vector Algorithm on Support Vector Machines for Image Restoration
Fundamenta Informaticae
Weight Compensated Motion Estimation for Facial Deformation Analysis
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
New spatial filters for image enhancement and noise removal
ACOS'06 Proceedings of the 5th WSEAS international conference on Applied computer science
Speckle reduction of ultrasound images based on Rayleigh-trimmed anisotropic diffusion filter
Pattern Recognition Letters
Extractive Support Vector Algorithm on Support Vector Machines for Image Restoration
Fundamenta Informaticae
Fast spatial averaging: an efficient algorithm for 2D mean filtering
The Journal of Supercomputing
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Alpha-trimmed mean filters are widely used for the restoration of signals and images corrupted by additive non-Gaussian noise. They are especially preferred if the underlying noise deviates from Gaussian with the impulsive noise components. The key design issue of these filters is to select its only parameter, α, optimally for a given noise type. In image restoration, adaptive filters utilize the flexibility of selecting α according to some local noise statistics. In the present paper, we first review the existing adaptive alpha-trimmed mean filter schemes. We then analyze the performance of these filters when the underlying noise distribution deviates from the Gaussian and does not satisfy the assumptions such as symmetry. Specifically, the clipping effect and the mixed noise cases are analyzed. We also present a new adaptive alpha-trimmed filter implementation that detects the nonsymmetry points locally and applies alpha-trimmed mean filter that trims out the outlier pixels such as edges or impulsive noise according to this local decision. Comparisons of the speed and filtering performances under deviations from symmetry and Gaussian assumptions show that the proposed filter is a very good alternative to the existing schemes.