基于小波域隐马尔可夫树模型的SAR图像去噪  

SARImage Denoising Based on Wavelet Domain Hidden Markov Tree Model

作　　者：杨燕[1] 黄彦丽[1] 曹金莲[1] 

机构地区：[1]青海省基础地理信息中心,青海西宁810000

出　　处：《测绘与空间地理信息》2014年第5期149-152,共4页Geomatics & Spatial Information Technology

摘　　要：从小波变换和隐马尔可夫模型的理论出发,实现基于小波域隐马尔可夫树模型的图像去噪算法设计,并对具有乘性噪声的SAR图像进行去噪处理。结果表明,与传统的各种去噪方法相比,该算法对SAR图像的去噪效果非常显著,在去噪的同时能够很好地保持原图像的纹理细节特征,具有一定的应用价值。Based on the theory of wavelet transform and hidden Markov model,this article presents an image denosing algorithm, which achieved by hidden Markov tree model in wavelet domain,and apply on SAR image denoising with multiplicative noise. The results show that,compared to traditional denoising method,the new algorithm present by this article have significant effect to denosing by keeping the original image texture detail.

关 键 词：小波 隐马尔科夫树 SAR 去噪 

分 类 号：TN957.54[电子电信—信号与信息处理]