Sept 18: Learn how to remove noise from imaging data with supervised, self-supervised & generative AI. With Alexander Krull (University Birmingham).

Register for the series πŸ‘‰ https://bit.ly/6-image-processing-tasks

@helmholtz
#imaging #ImageDenoising #AI

Image denoising techniques: A comparison of PCA, kernel PCA, autoencoder, and CNN

In this post, we explore the performance of PCA, Kernel PCA, denoising autoencoder, and CNN for image denoising.

Fabrizio Musacchio

Promising new #imagedenoising tool: SUPPORT. Designed for #VoltageImaging and time lapse images in general:

πŸŽ₯ https://static-content.springer.com/esm/art%3A10.1038%2Fs41592-023-02005-8/MediaObjects/41592_2023_2005_MOESM13_ESM.mp4 (demo)
✍️ Eom, M., Han, S., Park, P. et al. Statistically unbiased prediction enables accurate denoising of voltage imaging data. #NatMethods (2023). https://doi.org/10.1038/s41592-023-02005-8
πŸ‘¨β€πŸ’» https://github.com/NICALab/SUPPORT

See in the Dark: a machine learning technique for producing astoundingly sharp photos in very low light

See in the Dark: a machine learning technique for producing astoundingly sharp photos in very low light

Boing Boing