PSF Smooth Method based on Simple Lens Imaging

Dazhi Zhan, Weili Li, Zhihui Xiong, Mi Wang, Maojun Zhang

2017

Abstract

Compared with modern camera lenses, the simple lens system could be more meaningful to use in many scientific applications in terms of cost and weight. However, the simple lens system suffers from optical aberrations which limits its applicapability. Recent research combined single lens optics with complex post-capture correction methods to correct these artifacts. In this study, we initially estimate the spatial variability point spread function (PSF) through blind image deconvolution with total variant (TV) regularization. PSF is optimized to be more smoothed for enhancing the robustness. A sharp image is then recovered through fast non-blind deconvolution. Experimental results show that our method is at par with state-of-the-art deconvolution approaches and possesses an advantage in suppressing ringing artifacts.

Paper Citation

in Harvard Style

Zhan D., Li W., Xiong Z., Wang M. and Zhang M. (2017). PSF Smooth Method based on Simple Lens Imaging . In Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-222-6, pages 33-38. DOI: 10.5220/0006106100330038

in Bibtex Style

@conference{icpram17,
author={Dazhi Zhan and Weili Li and Zhihui Xiong and Mi Wang and Maojun Zhang},
title={PSF Smooth Method based on Simple Lens Imaging},
booktitle={Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2017},
pages={33-38},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006106100330038},
isbn={978-989-758-222-6},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - PSF Smooth Method based on Simple Lens Imaging
SN - 978-989-758-222-6
AU - Zhan D.
AU - Li W.
AU - Xiong Z.
AU - Wang M.
AU - Zhang M.
PY - 2017
SP - 33
EP - 38
DO - 10.5220/0006106100330038