融合超像素与窗口偏移的多尺度引导滤波

doi:10.11959/j.issn.1000-436x.2022220

Abstract

Abstract:

In order to avoid the phenomenon that edges were easily blurred during filtering, a multi-scale guided filtering integrated with superpixel and patch shift was proposed.Firstly, the bilateral filtering was applied to an input image to get more accurate superpixel regions.Then, the overlapping was used as the final filtering region, which was formed by the local window and the superpixel.The local window was selected by a metric function so that it did not contain edge information as much as possible.Finally, a small-scale window was used to preserve the edges, and then the window scale was increased for iterative guided filtering.The final filtering output was calculated by fusing the results of different window scales to smooth details while preserving the structural edges.Additionally, the evaluation index of filtering results quality was proposed and compared in different algorithms.The proposed algorithm has stronger edge preservation ability and can obtain better filtering effectiveness than other algorithms.

Key words: superpixel, patch shift, edge-aware, multi-scale, guided filtering

CLC Number:

TP391

Jianwu LONG, Jiangzhou ZHU. Multi-scale guided filtering integrated with superpixel and patch shift[J]. Journal on Communications, 2022, 43(11): 158-170.

Figures/Tables 19

References 28

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滤波算法	图11		图12
滤波算法	PSNR	SSIM	PSNR	SSIM
GF	24.47	0.864	26.11	0.894
WGF	26.99	0.916	31.21	0.947
GGF	27.12	0.926	30.19	0.937
NPGF	27.96	0.915	25.21	0.875
SKWGF	37.52	0.981	28.93	0.944
BTF	24.26	0.850	30.83	0.945
RGF	24.91	0.862	33.94	0.970
SWF	24.71	0.874	31.14	0.956
SSIF	26.97	0.921	30.75	0.948
本文算法	25.04	0.875	31.32	0.947

图14中子图序号	PSNR	SSIM	E_q	图14中子图序号	PSNR	SSIM	E_q
(b)	27.84	0.937	0.777	(k)	24.73	0.877	0.803
(c)	25.78	0.902	0.803	(l)	23.71	0.852	0.804
(d)	24.64	0.877	0.815	(m)	23.06	0.836	0.801
(e)	23.89	0.859	0.817	(n)	26.72	0.918	0.797
(f)	23.36	0.845	0.817	(o)	24.55	0.875	0.808
(g)	22.94	0.835	0.813	(p)	23.47	0.849	0.807
(h)	22.61	0.827	0.809	(q)	26.70	0.922	0.795
(i)	22.32	0.820	0.805	(r)	24.43	0.877	0.805
(j)	26.64	0.915	0.798	(s)	26.76	0.924	0.792

Multi-scale guided filtering integrated with superpixel and patch shift

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