Image spatial diffusion on GPUs

Lihua Zhu, Charles Wang, Guangfei Zhu, Bo Han, Heng Wang, Peijie Huang, En-Hua Wu
Cooperate Research, Thomson Inc., Beijing, China
IEEE Asia Pacific Conference on Circuits and Systems, 2008. APCCAS 2008


   title={Image spatial diffusion on GPUs},

   author={Zhu, L. and Wang, C. and Zhu, G. and Han, B. and Wang, H. and Huang, P. and Wu, E.H.},

   booktitle={Circuits and Systems, 2008. APCCAS 2008. IEEE Asia Pacific Conference on},





Download Download (PDF)   View View   Source Source   



Image spatial diffusion targets on blurring small discontinuities while sharpening distinct edges. We propose two GPU-based methods to efficient generate content-aware spatial diffused images. In the first method, we apply an enhanced bilateral filter on the input image. Our filter adopts a spatial weight kernel in the form of an inverted Gaussian. This inverted-Gaussian-spatial bilateral filter (IGSB) can remove small spots in large smooth areas more efficiently than Gaussian bilateral filter that are commonly used. In the second method, we present a fast approximation of mean-shift algorithm on GPUs. Considering the parallel nature of GPUs, the process of mean-shift kernel density estimation is modified and improved to achieve satisfied color image diffusion effects.
No votes yet.
Please wait...

* * *

* * *

HGPU group © 2010-2024 hgpu.org

All rights belong to the respective authors

Contact us: