一种新的基于参数估计的自适应双边滤波算法
发布时间：2018-10-15 14:20
【摘要】：传统双边滤波算法需要根据经验预先设置空间标准差和灰度标准差,参数固定且不具有通用性。针对此问题,提出了一种新的基于参数估计的自适应双边滤波算法。通过图像灰度共生矩阵实现空间标准差的自适应,利用统计方法估计光滑区域噪声标准差,根据噪声标准差设置灰度标准差,从而实现自适应双边滤波。仿真结果表明,提出的算法无论在主观还是客观评价上都取得了较好的效果。
[Abstract]:The traditional two-sided filtering algorithm needs to set the spatial standard deviation and the gray standard deviation in advance according to the experience, and the parameters are fixed and not universal. To solve this problem, a new adaptive bilateral filtering algorithm based on parameter estimation is proposed. The spatial standard deviation is adaptively realized by image gray level co-occurrence matrix, the noise standard deviation of smooth region is estimated by statistical method, and the gray level standard deviation is set according to the standard deviation of noise, so that adaptive bilateral filtering is realized. Simulation results show that the proposed algorithm has achieved good results in both subjective and objective evaluation.
【作者单位】： 四川大学电子信息学院;
【基金】：国家自然科学基金资助项目(61403265)
【分类号】：TN713;TP391.41
，
本文编号：2272818
[Abstract]:The traditional two-sided filtering algorithm needs to set the spatial standard deviation and the gray standard deviation in advance according to the experience, and the parameters are fixed and not universal. To solve this problem, a new adaptive bilateral filtering algorithm based on parameter estimation is proposed. The spatial standard deviation is adaptively realized by image gray level co-occurrence matrix, the noise standard deviation of smooth region is estimated by statistical method, and the gray level standard deviation is set according to the standard deviation of noise, so that adaptive bilateral filtering is realized. Simulation results show that the proposed algorithm has achieved good results in both subjective and objective evaluation.
【作者单位】： 四川大学电子信息学院;
【基金】：国家自然科学基金资助项目(61403265)
【分类号】：TN713;TP391.41
，
本文编号：2272818
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