Learned Compression (LC) is the emerging technology for compressing image and video
content, using deep neural networks. Despite being new, LC methods have already gained …

Image compression is indispensable in many visual applications. Recently, learned image
compression (LIC) using deep learning has surpassed traditional image codecs such as …

We present an end-to-end trainable image compression frameworkforlowbit-
rateimagecompression. Ourmethod is based on variational autoencoder, which consists of a …

Image compression has been the subject of extensive research for several decades,
resulting in the development of well-known standards such as JPEG, JPEG2000, and H …

Deep learning architectures are now pervasive and filled almost all applications under
image processing, computer vision, and biometrics. The attractive property of feature …

Deep Learning-based (DL) image compression has shown prominent results compared to
standard image compression techniques like JPEG, JPEG2000, BPG and WebP …

This tutorial aims at reviewing the recent progress in the deep learning based data
compression, including image compression and video compression. In the past years, deep …

Recently deep learning based image compression has made rapid advances with promising
results based on objective quality metrics. However, a rigorous subjective quality evaluation …

Deep learning is overwhelmingly dominant in the field of computer vision and image/video
processing for the last decade. However, for image and video compression, it lags behind …

Multimedia compression is a fundamental and significant research topic in the industrial field
in the past several decades attempting to improve compression techniques. It is always a …