A quadtree dictionary approach to multi-resolution compression
Rion Dooley · 2004
As we attempt to harness the power of tomorrow's mobile devices, intelligent information delivery becomes a primary concern. Getting the appropriate data to the resources that need it is referred to as the needs mismatch problem. In this paper we present a lossless multi-resolution compression technique based on a quadtree dictionary (QTD) that achieves 8:1 compression in the worst case. Test results show our method improves upon probabilistic, wavelet, and tree reduction techniques while providing 54:1 compression in the average case.