Image compression using normalizing flows
US12087024B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Mar 6, 2020 |
| Grant date | Sep 10, 2024 |
| Priority date | — |
| Expiry date | Apr 13, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N19/91
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
According to one implementation, an image compression system includes a computing platform having a hardware processor and a system memory storing a software code. The hardware processor executes the software code to receive an input image, transform the input image to a latent space representation of the input image, and quantize the latent space representation of the input image to produce multiple quantized latents. The hardware processor further executes the software code to encode the quantized latents using a probability density function of the latent space representation of the input image, to generate a bitstream, and convert the bitstream into an output image corresponding to the input image. The probability density function of the latent space representation of the input image is obtained based on a normalizing flow mapping of one of the input image or the latent space representation of the input image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.