基于峰值感知和多尺度约束的加权引导滤波器
张全,刘海忠

Weighted guided filter based on peak-aware and multi-scale constraints
Quan ZHANG,Haizhong LIU
表 3 不同滤波器模型的图像平滑结果对比
Tab.3 Comparison of image smoothing results for different filter models
$\lambda $模型PSNR/dBSSIM
$r = 2$$r = 4$$r = 8$$r = 2$$r = 4$$r = 8$
0.12GIF30.9830.1729.710.90410.89780.9076
WGIF31.2930.4229.920.90630.89960.9092
GGIF36.0334.9934.570.94950.94340.9485
SWGIF37.3234.4732.430.98300.96410.9473
SKWGIF32.2431.2230.790.91990.90470.9135
本研究39.1038.3438.180.97630.97540.9627
0.22GIF26.8525.2623.900.81050.76490.7506
WGIF27.2625.5924.140.81740.77210.7571
GGIF34.1432.0530.470.92910.90710.8111
SWGIF34.3830.3127.440.97310.92700.8758
SKWGIF28.4626.5525.110.85180.79090.7718
本研究36.2334.6433.680.96280.95110.9502
0.42GIF24.5322.5320.670.73680.64740.5860
WGIF24.9122.8120.840.74510.65600.5934
GGIF33.5130.8028.390.92080.88710.8663
SWGIF32.9628.0224.580.96770.89610.8011
SKWGIF26.2823.8321.780.79990.69210.6210
本研究34.7332.6031.010.95330.93300.9239