How separable median filters can get better results than full 2D versions
نویسندگان
چکیده
The well-known method of median filtering is used both in a wide range application frameworks and as standalone filter. Small-window filters can highly reduce the power salt pepper or additive Gaussian noise minimize edge blurring. Large-window are also used, for example to estimate background images. Currently, window size should not be an issue constant time algorithm several implementations, including GPU-based codes, have been proposed recent years. Unfortunately, none these implementations manage fully exploit capabilities modern GPUs, thus throughputs large-window remain far below peak allowed by GPU models. This paper aims at showing that separable approximation 2D often stronger than its full implementation. Statistical theoretical analysis conducted show explain this fact which had so remained unobserved. It confirmed experimentations on dataset composed 10,000 images, corrupted different levels noise. Separable filter algorithms compared with metrics, notably PSNR MSSIM. In addition, implementation proposed. able output up 125 billion pixels per second Volta V100, significantly outperforms existing like Nvidia’s NPP library Green’s code, resulting fastest solution date.
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ژورنال
عنوان ژورنال: The Journal of Supercomputing
سال: 2022
ISSN: ['0920-8542', '1573-0484']
DOI: https://doi.org/10.1007/s11227-021-04233-1