Multi-projector Resolution Enhancement Through Biased Interpolation

Andrew Hryniowski, Ibrahim Ben Daya, Ahmed Gawish, Mark Lamm, Alexander Wong, Paul W. Fieguth

Abstract: Projecting the same content with multiple overlapping projectors provides several advantages compared to using a single projector: increased brightness to overcome ambient light or projection surface anomalies, redundancy in case of projector failure, an increase in the area being projected on, and the possibility for increased content resolution. Multi-projector resolution enhancement is the process of using multiple projectors to achieve a resolution greater than any individual projector in the configuration. Current resolution enhancement techniques perform filtering on the sub-images produced by each projector using spatial or frequency based filters. The kernel based filtering adds significant overhead relative to the interpolation calculations. In addition the learned filters are extremely sensitive to calibration. This work develops a method for performing multi-projector resolution enhancement by integrating the filtering into the interpolation process. A system is developed to jointly condition multiple low resolution sub-images on each other to approximate high resolution original content.