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poisson_blend's Introduction

poisson_blend - A simple, readable implementation of Poisson Blending

An implementation of Poisson Blending, that demonstrates the concepts explained in my article.

To use the progam, you specify a source image and a target image. The source image is seamlessly copied and pasted into the target image, at some specified pixel location.

By running the command line

poisson_blend -source img/kitten.png -target img/library.png -mask img/kittenmask.png -output result.png -mx 280 -my 340

An image of a kitten can be seamlessly copied and pasted into the library, at the position (280, 340), as can be seen below. The mask specifies which pixels of the kitten should actually be copied and pasted. The remaining pixels are ignored. Note that only pure red pixels of RGB color (255,0,0) are considered part of the mask.

The result of the above command line can be seen below:

kitten library kitten mask kitten mask
source target mask result

Gallery

A small gallery of images made with this program are presented below.

penguin library penguin library
source target result
moon gothenburg moon gothenburg
source target result
penguin beach penguin beach
source target result
eagle liberty eagle liberty
source target result
water eagle lake water eagle lake
source target result
balloon colosseum balloon colosseum
source target result

Building

The only dependencies are lodepng and Eigen. Both of which are included within this repository.

We use CMake for building. If on Linux or OS X, you can build it in the terminal by doing something like:

mkdir build && cd build && cmake .. && make

If on Windows, create a build/ folder, and run cmake .. from inside that folder. This will create a visual studio solution(if you have visual studio). Launch that solution, and then simply compile the project named poisson_blend.

Image Sources

Below we list the soures of all images that we used in the gallery.

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poisson_blend's Issues

Freeing Eigen structures/variables

Hi @Erkaman

Some structures from Eigen source are used.

typedef Eigen::SparseMatrix<double> SpMat;
typedef Eigen::Triplet<double> Triplet;
typedef Eigen::VectorXd Vec;

Eigen::SimplicialCholesky<SpMat> solver;
..
Vec solutionChannels[3];		
Vec b(numUnknowns);

How to free the memory used by Eigen entities ?

Incorrect gamma correction

When loading images you apply gamma expension (correction) with following code:

pow(buf[i + 0] / 255.0f, 1.0f / GAMMA),

But this is actually gamma compression. The correct way for gamma expansion would be

pow(buf[i + 0] / 255.0f, GAMMA),

Same issue is when saving the image, but opposite.

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