Non-local means image denoising with bilateral structure tensor
- 10.2991/icmmita-16.2016.299How to use a DOI?
- Non-local means; bilateral structure tensor; image denoising; texture.
Non-local means image denoising with bilateral structure tensor algorithm is put forward for the reason that Non-local means(NLM) algorithm has a weaker detail retention and noise immunity. Different from the initial structure tensor, we can get better texture description between similar blocks by using of bilateral structure tensor of noise resistance and texture features. New texture can improve the description of NLM value calculation function which filter the noise of images. Compared with traditional NLM algorithm, NLM-BST algorithm gets better image detail preservation in noise immunity. The experimental results show that operator is validated in denoising and image detail reservations.
- © 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/).
Cite this article
TY - CONF AU - Huan Li AU - Yi Xu PY - 2017/01 DA - 2017/01 TI - Non-local means image denoising with bilateral structure tensor BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications PB - Atlantis Press SP - 1318 EP - 1323 SN - 2352-538X UR - https://doi.org/10.2991/icmmita-16.2016.299 DO - 10.2991/icmmita-16.2016.299 ID - Li2017/01 ER -