中文摘要：

对二维NAS-RIF算法进行了改进,并将它用于三维显微图像复原,分别用模拟样本和真实生物样本进行了实验。针对原算法对噪声有放大作用,提出了基于中值滤波去噪的改进。在支持域的确定、最小点的搜索上进行改进,提高复原质量。改进了原算法仅适用于均匀背景的不足,扩大了应用范围。实验结果表明,该算法在三维显微图像盲复原中具有较好的效果。

英文摘要：

The algorithm of NAS-RIF is modified and applied for 3-dimensional microscopical image restoration. Its performance is illustrated with synthetic and real biological data. To avoid the amplifying of noise in the original algorithm, an algo rithm of median filtering is introduced. To improve the effect of restoration, the algorithm of NAS-RIF is modified in the definition of support region and the research of the minimal point. Background rectification is developed for non-uniform background images to expand the applied scope of the original algorithm. Experiments show that the algorithm proposed has better result in blind restoration of 3-dimensional microscopical images.