Analysis of the effect of calibration error on light field super-resolution rendering

Light field photography, which has recently drawn considerable attention, provides novel functionalities such as refocusing and depth estimation at the same time. However, the resolution of the rendered refocus image is incomparably lower than the number of light ray samples in the light field. In this paper, we show that super-resolution can be performed to bridge the gap and that deconvolution, which is missing in most previous methods, is essential to the success of light field super-resolution rendering. In addition, we investigate the effect of four different kinds of camera calibration error on the quality of rendered images. Given an expected level of image quality, the upperbound of the camera calibration error is analyzed.