Samsung patents image compression using two types of neural networks
Samsung describes a method for compressing images by converting them into a simplified data format using a reversible neural network. It then uses a second, irreversible network to help predict the best way to pack that data efficiently for storage or transmission.
In the filing’s own words
There is provide an image encoding method including transforming an image block into a first latent representation based on an invertible neural network, transforming the first latent representation into a second latent representation based on a non-invertible neural network, estimating a probability distribution of the first latent representation, and performing entropy encoding on the first latent representation based on the probability distribution by using an entropy encoder.
What exactly they claim (claim 1)
1. An image encoding method comprising: transforming an image block into a first latent representation based on an invertible neural network; transforming the first latent representation into a second latent representation based on a non-invertible neural network; estimating a first probability distribution of the first latent representation based on the second latent representation; and performing entropy encoding on the first latent representation based on the first probability distribution by using a first entropy encoder.
Facts
- Company
- Samsung (SAMSUNG ELECTRONICS CO., LTD.)
- Official title
- APPARATUS AND METHOD FOR IMAGE ENCODING AND DECODING
- Publication number
- US20260281464A1
- Application number
- 19673069
- Filed
- May 11, 2026
- Published
- Sep 17, 2026
- Inventors
- 11
- Claims
- 19
Classified under
H04N 19/91 Electricity & electronicsG06V 10/82 Physics & computingH04N 19/119 Electricity & electronicsH04N 19/184 Electricity & electronicsMore from Samsung in AI & software
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.