Journal of Tsinghua University(Science and Technology) · 1999 · 14 citations · 0 references
ArtsHeritage ConservationPosterior RestorationsQuality ControlStatistical ComputingDigital Signal ProcessingImage EnhancementImage FilteringImage RestorationNoise ReductionAdaptive FilteringAdaptive Noise ReductionImage DenoisingMedian FilteringSmoothing FiltersTrimmed Means
In order to preserve more details while erasing mixed noise, a new algorithm based on the structure of modified trimmed mean (MTM) filter was proposed. Characters of the new one are: 1) replaces the median filter with center weighted median which shows better performance in preserving details; 2) uses the filtering result to estimate the deviation of Gaussian noise. The estimating result is used to change the filter parameter, so the new algorithm is robust. In real application the new method shows better performance than the MTM filter.