小波结合双边滤波抑制全息相干噪声  

Suppression of Coherent Noise by Wavelet Combined with Bilateral Filtering in Digital Holography

作　　者：肖文[1] 王庆伍 潘锋[1] 

机构地区：[1]北京航空航天大学仪器科学与光电工程学院,北京100191

出　　处：《光电工程》2016年第8期39-46,共8页Opto-Electronic Engineering

基　　金：国家自然科学基金资助项目(61177006)

摘　　要：抑制数字全息中相干噪声可以获得更高质量的数字全息再现图像。本文提出一种结合双边滤波和小波邻域阈值的数字全息相干噪声抑制方法。对再现像进行小波变换,利用小波邻域方法对高频分量小波阈值去噪,对低频分量做双边滤波处理,最后做小波逆变换得到去噪再现像。通过仿真分析将该方法与中值、均值、维纳滤波等方法进行了比较,去噪后所得图像的峰值信噪比提高了0.4 d B?2 d B,与原始图像的相关性更高。利用全息实验数据验证了方法,结果表明本文方法能够有效抑制散斑噪声,同时更好的保留再现像的细节信息。Suppression of coherent noise in digital holography can obtain higher quality digital holographic reconstructed image. A suppression of holographic coherent noise method which combines bilateral filter and wavelet filter is proposed. Firstly, the holographic reconstructed image is decomposed by wavelet transformation. Then the high-frequency component in wavelet domain is suppressed by the wavelet shrinkage algorithm. The low-pass approximation component is filtered by the bilateral filter. Finally, the inverse wavelet transform is processed. Through the simulation analysis, this method improves the image peak signal-to-noise ratio 0.4 dB～2 dB, and got a higher correlation coefficientcloser with the original image. The method is verified by holographic experiment data,and the results show that this method can effectively suppress the speckle noise, and at the same time, retain more details information of the reconstructed image.

关 键 词：数字全息 相干噪声 散斑抑制 小波变换 双边滤波 

分 类 号：TN26[电子电信—物理电子学]