估计是有用的图像散焦几个应用程序　　包括去模糊,模糊放大,测量图像　　质量和景深分割。在本文中,我们　　现在一个简单而有效的方法来评估一个分散注意力　　模糊映射关系为依托的对比　　图像梯度在当地的图像区域。我们把这种关系　　当地的对比之前。我们的方法的优势　　是,它不需要过滤银行或频率分解　　输入图像 相反,我们只需要比较　　当地的梯度概要文件与当地的对比。我们讨论　　背后的想法之前,展示其局部对比度　　在各种各样的实验效果-Image defocus estimation is useful for several applications

including deblurring, blur magnification, measuring image

quality, and depth of field segmentation. In this paper, we

present a simple yet effective approach for estimating a defocus

blur map based on the relationship of the contrast to the

image gradient in a local image region. We call this relationship

the local contrast prior. The advantage of our approach

is that it does not require filter banks or frequency decomposition

of the input image　instead we only need to compare

local gradient profiles with the local contrast. We discuss

the idea behind the local contrast prior and demonstrate its

effectiveness on a variety of experiments