Method of lossless removing to area and high-frequency noise in image
一种区域型高频图像噪声的无损滤除方法

By statistically analyzing a large number of historical samples and with the help of meteorological knowledge and experience, the change frequency of pixel value was designed first. Then a classificatory characteristic and its threshold that was sensitive to the stochastic and skip noise were extracted. And another characteristic to make the non-noise objects that were circled into the noise class by the first one was found. In the end the two characteristics were used jointly to filter stochastic and skip noise without losing valid information. The validity and dependability of the method and arithmetic have been validated.