The discrete cosine transform (DCT) remains a cornerstone of modern image and video compression techniques, enabling the decomposition of visual data into frequency components that can be efficiently ...

Given the image on the left, two study participants made the reconstruction on the right. People preferred their reconstruction to the image at the center, a highly compressed version of the original ...

In a nutshell: Stable Diffusion is a phenomenal example of how much a picture is worth more than a thousand words. In fact, by cutting the image-generation text prompt altogether, the visual AI could ...

The Google Research team developed TurboQuant to tackle bottlenecks in AI systems by using "extreme compression".

Last week, Swiss software engineer Matthias Bühlmann discovered that the popular image synthesis model Stable Diffusion could compress existing bitmapped images with fewer visual artifacts than JPEG ...

Because video clips are made up of sequences of individual images, or “frames,” video compression algorithms share many concepts and techniques with still-image compression algorithms. Therefore, we ...

Bandwidth has a knack for being late to the party. Back when the internet was still a research project at the Department of Defense, we needed floppy disks to make file sharing a reality between ...

Effective compression is about finding patterns to make data smaller without losing information. When an algorithm or model can accurately guess the next piece of data in a sequence, it shows it’s ...

Large Language Models (LLMs), often recognized as AI systems trained on vast amounts of data to efficiently predict the next part of a word, are now being viewed from a different perspective. A recent ...