EDIZ: An Error Diffusion Image Zooming Scheme
Image and Video Processing
2017-12-05 v1
Abstract
Interpolation based image zooming methods provide a high execution speed and low computational complexity. However, the quality of the zoomed images is unsatisfactory in many cases. The main challenge of super- resolution methods is to create new details to the image. This paper proposes a new algorithm to create new details using a zoom-out-zoom-in strategy. This strategy permits reducing blurring effects by adding the estimated error to the final image. Experimental results for natural images confirm the algorithm's ability to create visually pleasing results.
Cite
@article{arxiv.1712.00855,
title = {EDIZ: An Error Diffusion Image Zooming Scheme},
author = {Soroush Saryazdi and Saman Saryazdi and Hossein Nezamabadi-pour},
journal= {arXiv preprint arXiv:1712.00855},
year = {2017}
}
Comments
Submitted to IEEE Signal Processing Letters