Recently, learned image compression (LIC) has garnered increasing interest with its rapidly
improving performance surpassing conventional codecs. A key ingredient of LIC is a …

Video coding that pursues the highest compression efficiency is the art of computing for rate-
distortion optimization. The optimization has been approached in different ways, exemplified …

Existing deep learning-based image compression methods overlook the unique properties
of screen content images (SCIs), like limited color values and abundant repetitive patterns …

Since LIC has made rapid progress recently compared to traditional methods, this paper
attempts to discuss the question about'Where is the boundary of Learned Image …

Image compression plays a vital role in various applications, such as the storage,
transmission, and sharing of digital images. We present a symmetric image compression …

A computer-implemented method for operating an artificial neural network (ANN) includes
receiving an input by the ANN. The ANN generates a latent representation of the input. The …