Fakultät Informatik

Pyramid Filters Based on Bilinear Interpolation

 Martin Kraus,  Magnus Strengert

Computer Graphics and Visualization Group, Technische Universität München, Germany
Visualization and Interactive Systems Group, Universität Stuttgart, Germany


The implementation of several pyramid methods on programmable graphics processing units (GPUs) in recent years led to additional research interest in pyramid algorithms for real-time computer graphics. Of particular interest are efficient analysis and synthesis filters based on hardware-supported bilinear texture interpolation because they can be used as building blocks for many GPU-based pyramid methods. In this work, several new and extremely efficient GPU-implementations of pyramid filters are presented for the first time. The discussion employs a new notation, which was developed for the consistent and precise specification of these filters and also allowed us to systematically explore appropriate filter designs. The presented filters cover analysis and synthesis filters, (quasi-)interpolation and approximation, as well as discontinuous, continuous, and smooth filters. Thus, a toolbox of filters and their efficient implementations for a great variety of GPU-based pyramid methods is presented.

Associated publications

Pyramid Filters Based on Bilinear Interpolation
M. Kraus, M. Strengert, GRAPP 2007 [Bibtex]



Matthias Niessner, our new Professor from Stanford University, offers a number of interesting topics for  master theses.


A new PhD/PostDoc position on  Computational Fabrication and 3D Printing is available at the Computer Graphics & Visualization group.


A new PhD position is available at the games engineering group.  Check it out here.