Pyramid Methods in GPU-Based Image Processing
Magnus Strengert, Martin Kraus, and Thomas Ertl · 2011
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.