Filmgrainer is an image processing algorithm that adds noise to an image resembling photographic film grain. It's implemented in Python and runs as a command line utility on Linux platforms, installable with pip.

For further description and more examples see this blog post.

Installation

Filmgrainer can be installed directly from this repository with pip:

pip install git+https://github.com/larspontoppidan/filmgrainer

The installation pulls in numpy and pillow. Consider installing in a virtual environment.

Examples

Input image:

Transformed to a black and white photograph:

filmgrainer --gray --type 3 --power 0.8,0.2,0.1 -o bw_neg.png input.jpg

or a grainy color negative:

filmgrainer --type 4 --sat 0.8 --power 1,0.2,0.2 -o color_neg.png input.jpg

With just a gentle amount of dias-film like grain:

filmgrainer --type 1 --sat 0.6 --power 0.75,0.1,0.1 -o dias.png input.jpg

Totally trashed by grain using the scale feature and sharpen:

filmgrainer --type 1 --gray --power 1,0.3,0.2 --scale 3 --sharpen 1 -o trashed_bw.png input.jpg

filmgrainer --type 1 --sat 0.8 --power 1,0.3,0.2 --scale 3 --sharpen 1 -o trashed.png input.jpg