Deep learning-based image compression techniques are a popular topic of current research, so much so that The Joint Photographic Experts Group (JPEG) committee has recently called for evidence on these techniques as of February 2020.
Autoencoders are a deep learning model for transforming data from a high-dimensional space to a lower-dimensional space, and are a commonly referenced model for image compression. In this tutorial we'll see how to apply autoencoders to compress images from the MNIST dataset using TensorFlow and Keras. Check out the article on the blog, Image Compression Using Autoencoders in Keras, for more detail.
