a) img1_swapped: img1 with swapped red and blue channels
b) img1_green: monochrome img1 using the green channel
c) img1_red: monochrome img1 using the red channel
d) img1_blue: monochrome img1 using the blue channel
e) img1_green > img1_red
Replacement of a 100x100 square region of img2 with the respective region
of img1, using the monochrome versions of img1 and img2
a) img1_green: min = 0, max = 255, mean = 82.24, std=38.12
b) (img1_green - mean) /std * 10 + mean
c) img1_green_shifted: Shifted img1_green by 2 pixels to the left
d) Difference of img1_green_shifted from img1_green
a) Application of gaussian noise (0,30) on the green channel of img1
b) Application of gaussian noise (0,30) on the blue channel of img1
c) The image with the gaussian noise in the blue channel looks cleaner than the
one in the green channel, since the human eye has increased sensitivity towards
the green color spectrum and thus can more easily distinguish the green noise.
