Content-Aware Image Resizing by Quadratic Programming
Abstract
We present a new method for content-aware image resizing based on a framework of global optimization. We show that the basic resizing problem can be formulated as a convex quadratic program. Furthermore, we demonstrate how the basic framework may be extended to prevent foldovers of the underlying mesh; encourage the magnification of salient regions; and preserve straight line structures. We show results demonstrating the effectiveness of the proposed method by comparing with four leading competitor methods.
Cite
Text
Chen et al. "Content-Aware Image Resizing by Quadratic Programming." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2010. doi:10.1109/CVPRW.2010.5543281Markdown
[Chen et al. "Content-Aware Image Resizing by Quadratic Programming." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2010.](https://mlanthology.org/cvprw/2010/chen2010cvprw-contentaware/) doi:10.1109/CVPRW.2010.5543281BibTeX
@inproceedings{chen2010cvprw-contentaware,
title = {{Content-Aware Image Resizing by Quadratic Programming}},
author = {Chen, Renjie and Freedman, Daniel and Karni, Zachi and Gotsman, Craig and Liu, Ligang},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2010},
pages = {1-8},
doi = {10.1109/CVPRW.2010.5543281},
url = {https://mlanthology.org/cvprw/2010/chen2010cvprw-contentaware/}
}