Camera arrays provide spatial and angular information within a single
snapshot. With refocusing methods, focal planes can be altered after exposure.
In this letter, we propose a light field refocusing method to improve the
imaging quality of camera arrays. In our method, the disparity is first
estimated. Then, the unfocused region (bokeh) is rendered by using a
depth-based anisotropic filter. Finally, the refocused image is produced by a
reconstruction-based superresolution approach where the bokeh image is used as
a regularization term. Our method can selectively refocus images with focused
region being superresolved and bokeh being aesthetically rendered. Our method
also enables postadjustment of depth of field. We conduct experiments on both
public and self-developed datasets. Our method achieves superior visual
performance with acceptable computational cost as compared to other
state-of-the-art methods. Code is available at
this https URL

提出了一种基于光场的方法来改善相机阵列的图像质量，使用视差进行对焦区域的估计，使用基于深度的各向异性滤波器渲染非对焦区域，再使用基于重建的超分辨率方法产生重点区域被超分辨率处理而非对焦区域审美化呈现的图像，使得景深可以进行后期调整，并表明该方法在公开及自建数据集上取得了优越的视觉表现。