A locally content-dependent filter for inter-perspective anti-aliasing

摘要

Presentations on multiview and lightfield displays have become increasingly popular. The restricted number of views implies an unsmooth transition between views if objects with sharp edges are far from the display plane. The phenomenon is explained by inter-perspective aliasing. This is undesirable in applications where a correct perception of the scene is required, such as in science and medicine. Anti-aliasing filters have been proposed in the literature, and are defined according to the minimum and maximum depth present in the scene. We suggest a method that subdivides the ray-space and adjusts the anti-aliasing filter to the scene contents locally. We further propose new filter kernels based on the ray space frequency domain that assures no aliasing, yet keeping maximum information unaltered. The proposed method outperforms filters of earlier works. Different filter kernels are compared. Details of the output are sharper using a proposed filter kernel, which also preserves the most information.