## Monday, July 16, 2018

### The Cartoonist - Ford GT40 at Le Mans 24 hours race in 1968

Let's do a base run using the default parameters.

Input to "The Cartoonist":

input rgb image = Le_Mans_1968_1.jpg
tensor_sigma = 3
n_e = 2
n_a = 4
sigma_d = 3
sigma_r = 4.25
fdog_n = 1
fdog_sigma_e = 1
fdog_tau = 0.99
fdog_sigma_m = 3
fdog_phi = 2
phi_q = 3
quant_levels = 8
output rgb image = cartoon_image.jpg

Detected edges:

Resulting rendered image:

Let's change n_e from 2 to 4 and n_a from 4 to 8, which means a lot more bilateral filtering is going to occur.

Input to "The Cartoonist":

input rgb image = Le_Mans_1968_1.jpg
tensor_sigma = 3
n_e = 4
n_a = 8
sigma_d = 3
sigma_r = 4.25
fdog_n = 1
fdog_sigma_e = 1
fdog_tau = 0.99
fdog_sigma_m = 3
fdog_phi = 2
phi_q = 3
quant_levels = 8
output rgb image = cartoon_image.jpg

Detected edges:

Resulting rendered image:

Let's go back to the default settings and change fdog_n from 1 to 2. This should make the edges much more defined.

Input to "The Cartoonist":

input rgb image = Le_Mans_1968_1.jpg
tensor_sigma = 3
n_e = 2
n_a = 4
sigma_d = 3
sigma_r = 4.25
fdog_n = 2
fdog_sigma_e = 1
fdog_tau = 0.99
fdog_sigma_m = 3
fdog_phi = 2
phi_q = 3
quant_levels = 8
output rgb image = cartoon_image.jpg

Detected edges:

Resulting rendered image:

Let's go back to the default setting and change fdog_sigma_e from 1 to 0.5. This should make the edges thinner.

Input to "The Cartoonist":

input rgb image = Le_Mans_1968_1.jpg
tensor_sigma = 3
n_e = 2
n_a = 4
sigma_d = 3
sigma_r = 4.25
fdog_n = 1
fdog_sigma_e = 0.5
fdog_tau = 0.99
fdog_sigma_m = 3
fdog_phi = 2
phi_q = 3
quant_levels = 8
output rgb image = cartoon_image.jpg

Detected edges:

Resulting rendered image:

Personally, I like the rendered image using fdog_n = 2 best, but that's just me.

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