Improving Progressive Compression with Adaptive Interpolation and Coefficient Decomposition
This work presents an adaptive progressive compression framework that improves retrieval efficiency for two common targets, namely error-bound and peak Signal-to-Noise ratios and proposes coefficient decomposition, a novel method that exploits the commonly overlooked spatial correlations among decorrelated data.