Fast Text Placement Scheme for ASCII Art Synthesis

This study suggests an algorithm that creates ASCII art from a binary image. Our approach aims to generate ASCII art in a short period of time using multi-threaded local optimizations for a text placement method instead of a global optimization. To generate ASCII art from various images, the origina...

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Bibliographic Details
Main Authors: Moonjun Chung, Taesoo Kwon
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9757209/
Description
Summary:This study suggests an algorithm that creates ASCII art from a binary image. Our approach aims to generate ASCII art in a short period of time using multi-threaded local optimizations for a text placement method instead of a global optimization. To generate ASCII art from various images, the original image is first converted into a thinned black and white image suitable for generating ASCII art. We then extract the pixel orientations from the input image and introduce a character similarity scheme that considers these orientations. We also propose a novel text placement algorithm to complete ASCII art in a swift manner. Our final system suggested here can generate ASCII art using a variety of proportional fonts. The results of the experiments of this study show that the suggested system can generate ASCII art much faster than existing state-of-the-art techniques using proportional fonts.
ISSN:2169-3536