Patch-Based Non-local Bayesian Networks for Blind Confocal Microscopy Denoising-Reference-Cited by-同舟云学术

Patch-Based Non-local Bayesian Networks for Blind Confocal Microscopy Denoising

Published:2020 Issue: Volume: Page:46-55
ISSN:0302-9743
Container-title:Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
language:
Short-container-title:

Author:

Izadi Saeed,Hamarneh Ghassan

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-59722-1_5

Reference17 articles.

1. Batson, J., Royer, L.: Noise2Self: blind denoising by self-supervision. In: ICML, vol. 97, pp. 524–533. PMLR (2019)

2. Ben Hadj, S., Blanc-Féraud, L., Aubert, G., Engler, G.: Blind restoration of confocal microscopy images in presence of a depth-variant blur and poisson noise. In: ICCASP, May 2013, pp. 915–919. IEEE (2013)

3. Buades, A., Coll, B., Morel, J.: A non-local algorithm for image denoising. In: CVPR, vol. 2, pp. 60–65. IEEE (2005)

4. Dabov, K., Foi, A., Katkovnik, V., Egiazarian, K.: Image denoising by sparse 3-D transform-domain collaborative filtering. TIP 16(8), 2080–2095 (2007)

5. Icha, J., Weber, M., Waters, J.C., Norden, C.: Phototoxicity in live fluorescence microscopy, and how to avoid it. BioEssays 39(8), 1700003 (2017)

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Context-aware dynamic filtering network for confocal laser endomicroscopy image denoising;Physics in Medicine & Biology;2023-09-22

2. Non-Local Bayesian based Denoising of Magnetic Resonance Images;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

3. Bayesian Image Super-Resolution With Deep Modeling of Image Statistics;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023-02-01

4. Image denoising in the deep learning era;Artificial Intelligence Review;2022-11-15