A Multiframe Super-resolution Pipeline for Sub-image-typed Light Field Data

Abstract

Due to the trade-off between spatial and angular resolutions in light field cameras, the obtained resolutions of synthesized 2D images are often far less than those captured by conventional digital cameras using the same image sensor. This work proposes a complete digital image processing pipeline for hand-held light field cameras to generate high-resolution all-in-focus 2D images. The flow contains refined disparity estimation, digital refocusing, and super-resolution stages in which the characteristics of light fields are considered. We adopt the efficient first-order primal-dual algorithm as our optimization tool. The results show that the proposed approach gives better image quality when compared to other existing super-resolution methods.