And we also have our catmannnnnnn
1.3
Gaussian and Laplacian Stacks
Mona Lisa
Gaussian 1
Gaussian 2
Lap 1
Gaussian 3
Lap 2
Gaussian 4
Lap 3
Gaussian 5
Lap 4
Lincoln
Gaussian 1
Gaussian 2
Lap 1
Gaussian 3
Lap 2
Gaussian 4
Lap 3
Gaussian 5
Lap 4
Multiresolution Blending
Couldn't get this one working :(
Part 2: Gradient Domain
Toy Problem
As a test of this idea, first we run a toy implementation where we calculate the gradients of each pixel
with respect to the pixel then we use this to get coefficients and set this up as a least squares problem.
Toy Image
Reconstructed
Poisson Blending
In this part we use the ideas from part 1 except extend it. Now there are a number
of other gradients to take into account, namely each pixels neighbors.
We also have special constraints at the border where we want the pixel to be
as close as possible to the target image to "blend" nicely. We set up these
constraints as coefficients and solve.
2.2
Poisson Blending
Source
Target
Blended Image
Copied Image
Target
Target
Blended: Here we applied the same idea as before by forming
this into a least squares question where we had the coefficients
for the matrix from our problem statment setup. Unfortunately I had
a bug with my colored version :( )