Correcting Chromatic Aberrations Using Image Warping

Abstract

The use of image warping to reduce the impact of chromatic aberration in vision applications is addressed. The warp is determined using edge displacements which are fit with cubic splines. An image reconstruction algorithm is used for nonlinear resampling. The main contribution of this work is to analyze the quality of the warping approach by comparing it with active lens control. Test results for two different imaging systems are reported. >

Cite

Text

Boult and Wolberg. "Correcting Chromatic Aberrations Using Image Warping." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992. doi:10.1109/CVPR.1992.223201

Markdown

[Boult and Wolberg. "Correcting Chromatic Aberrations Using Image Warping." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992.](https://mlanthology.org/cvpr/1992/boult1992cvpr-correcting/) doi:10.1109/CVPR.1992.223201

BibTeX

@inproceedings{boult1992cvpr-correcting,
  title     = {{Correcting Chromatic Aberrations Using Image Warping}},
  author    = {Boult, Terrance E. and Wolberg, George},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1992},
  pages     = {684-687},
  doi       = {10.1109/CVPR.1992.223201},
  url       = {https://mlanthology.org/cvpr/1992/boult1992cvpr-correcting/}
}