2977

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

@conference{strengert2006pyramid,

   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},

   pages={169},

   isbn={3898380815},

   year={2006},

   organization={IOS Press}

}

Download Download (PDF)   View View   Source Source   

2539

views

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.
No votes yet.
Please wait...

* * *

* * *

HGPU group © 2010-2024 hgpu.org

All rights belong to the respective authors

Contact us: