Research on the Improvement of Sea Target Defog Based on Dark Channel Prior

DOI

10.2991/icmmita-16.2016.285How to use a DOI?

Keywords

Dark Channel Prior; Image Enhancement; Image Fusion

Abstract

There are several error estimates to atmospheric light in the algorithm of image defog based on dark channel prior which the operation efficiency is low. In this paper we propose an improved method to solve these problems. Comparing with the original defogging image, the computing time of our algorithm was shortened by the experimental results. When the sea fog is dense, we adopt image fusion algorithm based on weighted average. This algorithm can improve the color distortion of the restored image, and accurately restore the real scene of the image.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Likun Liu
AU  - Pengtao Ni
PY  - 2017/01
DA  - 2017/01
TI  - Research on the Improvement of Sea Target Defog Based on Dark Channel Prior
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 1246
EP  - 1251
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-16.2016.285
DO  - 10.2991/icmmita-16.2016.285
ID  - Liu2017/01
ER  -