We have witnessed the revolutionary progress of learned image compression despite a short history of this field. Some challenges still remain such as computational complexity that prevent the ...

In medical imaging, image compression is used to ease bandwidth and storage requirements. In this paper, we report a Roi based image compression approach for retinal images based on convolutional auto ...