ML Anthology

Image Pre-Conditioning for Out-of-Focus Projector Blur

Michael S. Brown, Peng Song, Tat-Jen Cham
CVPR 2006 pp. 1956-1963
doi:10.1109/CVPR.2006.145 /cvpr/2006/brown2006cvpr-image/

Abstract

We present a technique to reduce image blur caused by out-of-focus regions in projected imagery. Unlike traditional restoration algorithms that operate on a blurred image to recover the original, the nature of our problem requires that the correction be applied to the original image before blurring. To accomplish this, a camera is used to estimate a series of spatially varying point-spread-functions (PSF) across the projector's image. These discrete PSFs are then used to guide a pre-processing algorithm based on Wiener filtering to condition the image before projection. Results show that using this technique can help ameliorate the visual effects from out-of-focus projector blur.

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Cite

Text

Brown et al. "Image Pre-Conditioning for Out-of-Focus Projector Blur." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2006. doi:10.1109/CVPR.2006.145

Markdown

[Brown et al. "Image Pre-Conditioning for Out-of-Focus Projector Blur." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2006.](https://mlanthology.org/cvpr/2006/brown2006cvpr-image/) doi:10.1109/CVPR.2006.145

BibTeX

@inproceedings{brown2006cvpr-image,
  title     = {{Image Pre-Conditioning for Out-of-Focus Projector Blur}},
  author    = {Brown, Michael S. and Song, Peng and Cham, Tat-Jen},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2006},
  pages     = {1956-1963},
  doi       = {10.1109/CVPR.2006.145},
  url       = {https://mlanthology.org/cvpr/2006/brown2006cvpr-image/}
}