摘要
数字全息具备成像方便、分辨率高和实时观测等优势,已广泛应用于信息加密、显微观测、医学诊断、元器件测量等领域。但在数字全息成像中,散斑噪声严重影响了再现像的信噪比和成像分辨率,因此为了提高数字全息成像质量,迫切需要抑制再现像的散斑噪声。本文提出了一种基于TV模型和维纳滤波融合的散斑噪声抑制方法。仿真实验表明经该算法处理的再现像平滑效果好,去噪声能力强,和原图的相似度高。
Digital holography which can conveniently and easily reconstruct the object phase information, has a higher resolution and can be observed in real time. Therefore, it is widely used in information encryption, microscopic observation, medical diagnosis, component detection and other fields. The signal-to-noise ratio and resolution of the reconstructed image is seriously influenced by speckle noise in digital holography, so it is essential to reduce the speckle noise and improve the image quality. The way to reduce speckle noise based on TV-Wiener filter is put forward in the paper. The experimental simulation results show that the reconstructed image by using TV-Wiener filter has good image smoothing effect, the speckle noise can be reduced greatly and the similarity between the original image and the reconstructed image is high.
出处
《智能计算机与应用》
2017年第4期6-8,12,共4页
Intelligent Computer and Applications
