blur_params_v23a.txt

# data file for generating the blurred image dataset

#0 background: depthmap value, probablility, blur radius values - br1, br2, br1, br2,... 
# 81,82,83,84,85
#22,0.31, {18,18,19,19,20,20,21,21,22,22}, {1,1,1,2,2,3,3,4,4,5}
22,0.31, 18,1, 18,1, 19,1, 19,2, 20,2, 20,3, 21,3, 21,4, 22,4, 22,5 

#1 foreground: depthmap value, probablility, blur radius values - br1, br2, br1, br2,... 
# 55,56,57,58,59
#0,0.35, {13,11,10,8,7,6,4,3,2,1}, {30,29,27,26,24,23,22,21,20,18},
0,0.35, 13,30, 11,29, 10,27, 8,26, 7,24, 6,23, 4,22, 3,21, 2,20, 1,18

#2 ROI depthmap values, the first value is the foregraound depthmap value and the last value is the background depthmap value
# 0 => all values before the region of interest, 22 => all values after the region of interest
# 60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80
1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21

#3 sigma values, the number of values should be greater than the number of depthmap values, DM values are used to index sigma values: 0.0005
0.1725,0.3450,0.5175,0.6900,0.8625,1.0350,1.2075,1.3800,1.5525,1.7250,1.8975,2.0700,2.2425,2.4150,2.5875,2.7600,2.9325,3.1050,3.2775,3.4500,3.6225,3.7950,3.9675,4.1400,4.3125,4.4850,4.6575,4.8300,5.0025,5.1750,5.3475,5.5200,5.6925,5.8650,6.0375,6.2100,6.3825,6.5550,6.7275,6.9000,7.0725,7.2450,7.4175,7.5900,7.7625,7.9350,8.1075,8.2800,8.4525,8.6250,8.7975,8.9700,9.1425,9.3150,9.4875,9.6600,9.8325,10.0050,10.1775,10.3500,10.5225,10.6950,10.8675,11.0400,11.2125,11.3850,11.5575,11.7300,11.9025,12.0750,12.2475

#4 blur radius table 1, the number of values should match the number of depthmap values
1,2,3,4,5,6,7,8,9,9,10,11,12,12,13,14,15,15,16,16,17

#5 blur radius table 2, the number of values should match the number of depthmap values
17,16,15,14,13,12,12,11,10,9,8,8,7,6,5,5,4,3,3,2,1

#6 maximum number of depthmap values within a single image
10

#7 scaling parameters: pattern scale, shape scale
0.1, 0.04

#8 final blur sigma index
2

#9 turbulence parameters: aperture (m), min Cn2 (m^(-2/3)), max Cn2 (m^(-2/3))
#0.095, 1e-15, 5e-13

#10 dataset type: 0 -> random image, 1 -> other, 2-> knife edge
#1