4823

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

@inproceedings{zhu2008image,

   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},

   pages={610–613},

   year={2008},

   organization={IEEE}

}

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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.
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