【摘要】 从构建图像各点强度变化的频率入手,借助领域知识和经验,展开对历史样本的针对性分析,提取出对区域型跳变噪声敏感的分类特征和分类阈值,再找出辨析两类交叠区中非噪声点的特征,设计两种特征的联合使用方案,成功实现了在不损伤图像中有效信息的前提下的区域型跳变且随时间移动缓慢的噪声的滤除。实验验证了算法的有效性和可靠性。更多还原

【Abstract】 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.更多还原