You are here: home > research > light fields

Common light field rendering methods such as quadrilinear interpolation of a "two-plane" light field are prone to aliasing unless the sampling density of the camera surface is relatively high (increasing storage and run-time memory requirements) or unless the source images are filtered (increasing blurriness in the reconstructed images). We are interested in improving light field rendering via better reconstruction techniques.

A New Reconstruction Filter for Undersampled Light Fields
We present a new reconstruction filter that significantly reduces the "ghosting" artifacts seen in undersampled light fields, while preserving important high-fidelity features such as sharp object boundaries and view-dependent reflectance. By improving the rendering quality achievable from undersampled light fields, our method allows acceptable images to be generated from smaller image sets. We present both frequency and spatial domain justifications for our techniques. We also present a practical framework for implementing the reconstruction filter in multiple rendering passes.

Publications:  EGSR Paper | MS Thesis