A deep learning framework for image processing with single pair of training images
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.
We provide two ways for you to process your datas, a web server and a package(download) that can run in your computer.
💜 Deeps homepage: http://deeps.cibr.ac.cn/
💜 Deeps documentation: https://github.com/azzhu/deeps/blob/master/SERVER/webserver_doc.md
💜 Deeps repository: https://github.com/azzhu/deeps
💜 Deeps inference package repository: https://github.com/azzhu/Deeps_Inference_Package
💜 CIBR homepage: http://www.cibr.ac.cn/