Multi-foveation filtering
We present a method for computing a function of average multi-viewer eye sensitivity based on the Geisler & Perry contrast threshold formula, and, from this, the cut-off frequency map (as used in foveation filtering) that is optimal in the sense of discarding frequencies in least-noticeable-first order. Existing approaches usually solve the multi-viewer foveation problem as a number of single-viewer foveations, effectively taking collective sensitivity to be the maximum of the individual viewer eye sensitivities. This has inherent problems such as over-sensitivity to outliers which are not problems with the proposed approach. Furthermore, the proposed approach can be employed in the infinite-viewer (probability-based) scenario without additional cost.