Sub-Pixel Layout for Super-Resolution with Images in the Octic Group
Abstract
This paper presents a novel super-resolution framework by exploring the properties of non-conventional pixel layouts and shapes. We show that recording multiple images, transformed in the octic group, with a sensor of asymmetric sub-pixel layout increases the spatial sampling compared to a conventional sensor with a rectilinear grid of pixels and hence increases the image resolution. We further prove a theoretical bound for achieving well-posed super-resolution with a designated magnification factor w.r.t. the number and distribution of sub-pixels. We also propose strategies for selecting good sub-pixel layouts and effective super-resolution algorithms for our setup. The experimental results validate the proposed theory and solution, which have the potential to guide the future CCD layout design with super-resolution functionality.
Cite
Text
Shi et al. "Sub-Pixel Layout for Super-Resolution with Images in the Octic Group." European Conference on Computer Vision, 2014. doi:10.1007/978-3-319-10590-1_17Markdown
[Shi et al. "Sub-Pixel Layout for Super-Resolution with Images in the Octic Group." European Conference on Computer Vision, 2014.](https://mlanthology.org/eccv/2014/shi2014eccv-sub/) doi:10.1007/978-3-319-10590-1_17BibTeX
@inproceedings{shi2014eccv-sub,
title = {{Sub-Pixel Layout for Super-Resolution with Images in the Octic Group}},
author = {Shi, Boxin and Zhao, Hang and Ben-Ezra, Moshe and Yeung, Sai-Kit and Fernandez-Cull, Christy and Shepard, R. Hamilton and Barsi, Christopher and Raskar, Ramesh},
booktitle = {European Conference on Computer Vision},
year = {2014},
pages = {250-264},
doi = {10.1007/978-3-319-10590-1_17},
url = {https://mlanthology.org/eccv/2014/shi2014eccv-sub/}
}