Abstract

When using plenoptic camera for digital refocusing, an-gular undersampling can cause severe (angular) aliasingartifacts. Previous approaches have focused on avoidingaliasing by pre-processing the acquired light field via pre-filtering, demosaicing, reparameterization, etc. In this paper, we present a different solution that first detects and theremoves aliasing at the light field refocusing stage. Different from previous frequency domain aliasing analysis, we carry out a spatial domain analysis to reveal whether the aliasing would occur and uncover where in the image itwould occur. The spatial analysis also facilitates easy sepa-ration of the aliasing vs. non-aliasing regions and aliasing removal. Experiments on both synthetic scene and real light field camera array data sets demonstrate that our approach has a number of advantages over the classical prefiltering and depth-dependent light field rendering techniques.