Compression methods have become of fundamental importance in almost every subfield of scientific visualization. However, unlike image compression, advanced visualization applications impose manifold constraints on the design of appropriate …
The paper presents a framework for multiresolution compression and geometric reconstruction of arbitrarily dimensioned data designed for distributed applications. Although being restricted to uniform sampled data, the versatile approach enables the …