摘要
文章介绍了双树复小波变换,根据BKF模型,采用贝叶斯最大后验估计,给出了一种基于双树复小波变换的图像去噪算法。在仿真实验中,该算法与经典ProbShrink算法相比能提高峰值信噪比,改善视觉效果与去噪效果。
The dual tree complex wavelet transform is introduced in this paper,an image denoising algorithm based on dual tree complex wavelet transform is proposed,which keeps to BKF model,and adopts the maximum a posteriori estimation.In simulation experiment,this algorithm compares with classical ProbShrink method, which it can improve peak signal to noise ratio and visual effect,and has better denoising effect than ProbShrink method.
出处
《重庆电子工程职业学院学报》
2013年第3期159-161,共3页
Journal of Chongqing College of Electronic Engineering
基金
贵州省科技厅
安顺市合作基金项目:保护隐私的路径规划(黔科合J字LKA[2012]20号)
关键词
双树复小波
BKF模型
图像去噪
最大后验估计
dual tree complex wavelet
BKF model
image denoising
maximum a posteriori estimation
