We study the problem of quantization of discrete probability distributions, arising in universal coding, as well as other applications. We show, that in many situations this probl...
This paper discusses the construction and implementation problem of trellis coded quantization (TCQ) based data hiding. We explore the robustness and distortion of data hiding by ...
We propose a new wavelet compression algorithm based on the rate-distortion optimization for densely sampled triangular meshes. Exploiting the normal remesher of Guskov et al., th...
In a variety of applications (including automatic target recognition) image classification algorithms operate on compressed image data. This paper explores the design of optimal t...
We address the problem of distributed source coding, i.e. compression of correlated sources that are not co-located and/or cannot communicatewith each other to minimize their join...