This is an official implementation of the ASCII art rendering technique described in the following paper:
N. Markus, M. Fratarcangeli, I. S. Pandzic and J. Ahlberg, "Fast Rendering of Image Mosaics and ASCII Art", Computer Graphics Forum, 2015, <dx.doi.org/10.1111/cgf.12597>
As is the usual way for rendering tone-based ASCII art, we subdivide an image into a rectangular grid and replace each cell with an appropriate font glyph. We use a decision tree to determine an ASCII glyph for each image region. The tree is learned by first converting a large set of images to ASCII art with the SSIM index (http://en.wikipedia.org/wiki/Structural_similarity) and then using the obtained data as a training set.
For any additional information contact me at [email protected].
Copyright (c) 2013, Nenad Markus. All rights reserved.