DeepS

a deep learning framework for image processing with single pair of training images

What is Deeps?

In biological studies, there is a huge demand to recover high-quality images from low quality images. Basically, two typical steps are implemented to denoise and then deconvolute. Traditional methods have been developed to deal with different senarios separately. For us, it’s a reverse process either decreasing or increasing information of images. Here, we have proposed DeepS to fulfill the reverse functions with the same deep learning framework.
Network Structure

Privacy

To improve our services, we will save uploaded images in the training module by default to increase our training datasets. If you don't want us to save your data, please check "Do not save my data". Thanks for your support!

Last Modified at March 1, 2023
Copyright@ 2019-2023 by the Computaional Center, CIBR,
For any comments or suggestions, please mail to:deeps@cibr.ac.cn
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