Pyramid Methods in GPU-Based Image Processing

Magnus Strengert, Martin Kraus, and Thomas Ertl
Institut fur Visualisierung und Interaktive Systeme (VIS), Universitatsstrasse 38, 70569 Stuttgart, Germany
Vision, modeling, and visualization 2006: proceedings, November 22-24, 2006


   title={Pyramid methods in gpu-based image processing},

   author={Strengert, M. and Kraus, M. and Ertl, T.},

   booktitle={Vision, modeling, and visualization 2006: proceedings, November 22-24, 2006, Aachen, Germany},




   organization={IOS Press}


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There are numerous applications and variants of pyramid methods in digital image processing. Many of them feature a linear time complexity in the number of pixels; thus, they are particularly well suited for real-time image processing. In this work, we show that modern GPUs allow us to implement pyramid methods based on bilinear texture interpolation for high-performance image processing and present three examples: zooming with biquadratic B-spline filtering, efficient image blurring of arbitrary blur width, and smooth interpolation of scattered pixel data. In comparison with published techniques for GPU-based image processing, we achieve considerable performance improvements compared to published filtering techniques and improvements of image quality compared to bilinear interpolation.
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