“Neural image compression in a nutshell” by Dr Luis Herranz

“Neural image compression in a nutshell” by Dr Luis Herranz

Neural image compression is a new paradigm where codecs are modeled as deep neural networks whose parameters are learned from data. There has been increasing interest in this paradigm as a possible competitor to traditional image coding methods based on block-based transform coding. 

If you are interested in learning more about neural image compression, do not hesitate to read these articles by our researcher Dr Luis Herranz:

Neural image compression in a nutshell:

And, if you want to delve more into the topic, we encourage you to read: