Deep Halftoning with Reversible Binary Pattern

ICCV Paper | Project Website | BibTex

Overview

Existing halftoning algorithms usually drop colors and fine details when dithering color images with binary dot patterns, which makes it extremely difficult to recover the original information. To dispense the recovery trouble in future, we propose a novel halftoning technique that dithers a color image into binary halftone with decent restorability to the original input. The key idea is to implicitly embed those previously dropped information into the binary dot patterns. So, the halftone pattern not only serves to reproduce the image tone, maintain the blue-noise randomness, but also represents the color information and fine details. See the examples illustrated below.

Copyright and License

You are granted with the LICENSE for both academic and commercial usages.

Citation

If any part of our paper and code is helpful to your work, please generously cite with:

@inproceedings{xia-2021-inverthalf,
    author   = {Menghan Xia and Wenbo Hu and Xueting Liu and Tien-Tsin Wong},
    title    = {Deep Halftoning with Reversible Binary Pattern},
    booktitle = {{IEEE/CVF} International Conference on Computer Vision (ICCV)},
    year = {2021}
}