PNG reindexing a university project for the course Multimedia.
This project consist into implement this concept: A Fast Palette Reordering Technique Based on GPU-Optimized Genetic Algorithms
This project use AntColony algorithm based on this implementation.
You can try this project with the Telegram Bot PNG-reindexer-bot, just open @png_reindexer_bot with Telegram and send a picture.
To run this project you need Python3 and the following packages:
- pypng
- numpy
- scipy
- image
You can install the packages dependencies through:
$ pip3 install -r requirements.txt
Use just "pip" if you have python3 as default instead of python2.
This project provides the following commands:
$ python3 main.py -r
The -r (run) parameter generate a new image img1.png of 8x8 pixels with random palette and colors and img2.png with a ordered palette.
$ python3 main.py -i path/file_name.png
The -i (input) parameter get a png image as input and generate the same image as img2.png with a new palette ordered and with the reindexed colors.
If the picture has more than 256 colors, it can't create a palette following the PNG standard, so, optionally it can reduce the colors of the image to 256 with the parameter -f (force).
$ python3 main.py -i path/file_name.png -f
The -l (log) parameter is optional, if used it generates a file palette_stats.txt that show the pixels indexed, palette and the best order of palette (about old unordered palette and new image with ordered palette).
Is recommended to use this parameter only with small images.