近年视觉注意力算法已经成为模拟人类视觉（fixation）的主要方法，为了完善现有的几种视觉注意力算法的不足，本文提出基于分数阶傅立叶变换的视觉注意力算法.我们首先对saliency map进行基于FrFT的数学建模.然后分析几种常用的视觉注意力算法的特点并在噪声环境下进行仿真比较，并提出噪声灵敏度NSS概念，最后，我们利用MSRA10K图片库作为输入数据，分析Precision-recall 与ROC曲线，实验表明，本文所提出的方法有更好的屏蔽噪声能力与自适应能力，在一定程度上能确切的模拟人类视觉.

The visual attention model has become the main approach to simulate the human fixation. in order to improve the deficiency of several pre-existing visual attention models, this paper proposes a visual attention model based on 2-dimensional discrete FrFT. First, we model saliency map mathematically in theoretical background of 2-dimenshional FrFT. Second, we analyze several models feature and provide the comparison of simulation results in the noise interference conditions, and Noise Sensitivity Scale (NSS) is proposed. Third, we analyze the Pre-recall and Roc curves using the image database of MSRA 10K, experiments show that the proposed model can simulate human fixation in some extent.