HDR Imaging Under Non-Uniform Blurring
Abstract
Knowledge of scene irradiance is necessary in many computer vision algorithms. In this paper, we develop a technique to obtain the high dynamic range (HDR) irradiance of a scene from a set of differently exposed images captured using a hand-held camera. Any incidental motion induced by camera-shake can result in non-uniform motion blur. This is particularly true for frames captured with high exposure durations. We model the motion blur using a transformation spread function (TSF) that represents space-variant blurring as a weighted average of differently transformed versions of the latent image. We initially estimate the TSF of the blurred frames and then estimate the latent irradiance of the scene.
Cite
Text
Vijay et al. "HDR Imaging Under Non-Uniform Blurring." European Conference on Computer Vision, 2012. doi:10.1007/978-3-642-33868-7_45Markdown
[Vijay et al. "HDR Imaging Under Non-Uniform Blurring." European Conference on Computer Vision, 2012.](https://mlanthology.org/eccv/2012/vijay2012eccv-hdr/) doi:10.1007/978-3-642-33868-7_45BibTeX
@inproceedings{vijay2012eccv-hdr,
title = {{HDR Imaging Under Non-Uniform Blurring}},
author = {Vijay, Channarayapatna Shivaram and Chandramouli, Paramanand and Ambasamudram, Rajagopalan},
booktitle = {European Conference on Computer Vision},
year = {2012},
pages = {451-460},
doi = {10.1007/978-3-642-33868-7_45},
url = {https://mlanthology.org/eccv/2012/vijay2012eccv-hdr/}
}