Compressed Multiresolution Hierarchies for High-Quality Precomputed Shadows

Research output: Contribution to journalArticleScientificpeer-review

5 Citations (Scopus)


The quality of shadow mapping is traditionally limited by texture resolution. We present a novel lossless compression scheme for high-resolution shadow maps based on precomputed multiresolution hierarchies. Traditional multiresolution trees can compactly represent homogeneous regions of shadow maps at coarser levels, but require many nodes for fine details. By conservatively adapting the depth map, we can significantly reduce the tree complexity. Our proposed method offers high compression rates, avoids quantization errors, exploits coherency along all data dimensions, and is well-suited for GPU architectures. Our approach can be applied for coherent shadow maps as well, enabling several applications, including high-quality soft shadows and dynamic lights moving on fixed-trajectories.
Original languageEnglish
Pages (from-to)331-340
Number of pages10
JournalComputer Graphics Forum (online)
Issue number2
Publication statusPublished - 2016
EventEurographics 2016: The 37th Annual Conference of the European Association for Computer Graphics - Lisbon, Portugal
Duration: 9 May 201613 May 2016


Dive into the research topics of 'Compressed Multiresolution Hierarchies for High-Quality Precomputed Shadows'. Together they form a unique fingerprint.

Cite this