Fast Text Placement Scheme for ASCII Art Synthesis
- Authors
- Chung, Moonjun; Kwon, Taesoo
- Issue Date
- Apr-2022
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Art; Measurement; Image edge detection; Feature extraction; Periodic structures; Licenses; Skeleton; ASCII arts; black-and-white image; grayscale image; image processing
- Citation
- IEEE ACCESS, v.10, pp.40677 - 40686
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE ACCESS
- Volume
- 10
- Start Page
- 40677
- End Page
- 40686
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/138965
- DOI
- 10.1109/ACCESS.2022.3167567
- ISSN
- 2169-3536
- Abstract
- 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.
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