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Gray-Levels Can Improve the Performance of Binary Image Digitizers

Nahum Kiryati, Alfred M. Bruckstein
CVPR 1988 pp. 562-567
doi:10.1109/CVPR.1988.196291 /cvpr/1988/kiryati1988cvpr-gray/

Abstract

The application of gray-scale digitizers to the digitization of binary images of straight-edged silhouettes is considered. A measure of digitization-induced ambiguity is introduced. It is shown that if the gray levels are not quantized and the sampling resolution is sufficiently high, error-free reconstruction of the original binary image from the digitized image is possible. When the total bit-count for the representation of the digitized image is limited, i.e., sampling resolution and quantization accuracy are both finite, error-free reconstruction is usually impossible. The authors' suggested bit allocation policy is then to increase the quantization accuracy as much as possible, once sufficient sampling resolution has been reached.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Cite

Text

Kiryati and Bruckstein. "Gray-Levels Can Improve the Performance of Binary Image Digitizers." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988. doi:10.1109/CVPR.1988.196291

Markdown

[Kiryati and Bruckstein. "Gray-Levels Can Improve the Performance of Binary Image Digitizers." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988.](https://mlanthology.org/cvpr/1988/kiryati1988cvpr-gray/) doi:10.1109/CVPR.1988.196291

BibTeX

@inproceedings{kiryati1988cvpr-gray,
  title     = {{Gray-Levels Can Improve the Performance of Binary Image Digitizers}},
  author    = {Kiryati, Nahum and Bruckstein, Alfred M.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1988},
  pages     = {562-567},
  doi       = {10.1109/CVPR.1988.196291},
  url       = {https://mlanthology.org/cvpr/1988/kiryati1988cvpr-gray/}
}