===============
State-of-the-art image scaling, inspired by Directional Cubic Convolution Interpolation
1 Download the repository :
$ git clone https://github.com/alexis-jacq/image_scaling.git
2 The library uses a standard CMake workflow:
$ mkdir build && cd build
$ cmake ..
$ make
$ ./scaling picture_name scaled_picture_name
If you want to infinitly increase your resolution without hitting-eyes blur you can use the 60 main clusters of colors :
$ python src/cluster.py -i picture_name -c 60
And then scale the output clustured picuture and enjoy :)
(we implemented the algorithm explained at https://en.wikipedia.org/wiki/Directional_Cubic_Convolution_Interpolation)
Zoom on the spots of the butterfly...
With DCCI :
With our algorithm :
