Structure-adaptive filtering based on polynomial regression modeling of image intensity

摘要

In this paper a structure-adaptive approach to the evalu- ation of image intensity for adaptive filtering is described in the con- text of mixed noise model: Gaussian noise and impulsive noise as outliers of the Gaussian distribution. The known adaptive filtering techniques often yield nonsatifactory results in this case because the outliers are confused with image fine details such as corner edges and thin lines.