US 12,658,938 B2 · System and methods for upsampling of decompressed correlated multichannel data using a neural network

Abstract

A system and methods for upsampling of decompressed correlated multichannel data after lossy compression using a neural network that integrates AI-based techniques to enhance compression quality. It incorporates a novel AI deblocking network composed of recurrent layers for feature extraction and a channel-wise transformer with attention to capture complex inter-channel dependencies. The recurrent layers extract multi-dimensional features from the two or more correlated datasets, while the channel-wise transformer learns global inter-channel relationships. This hybrid approach addresses both local and global features, mitigating compression artifacts and improving decompressed data quality. The model's outputs enable effective data reconstruction, achieving advanced compression while preserving crucial information for accurate analysis.

Claims16

Dependent claims

A system for upsampling of decompressed correlated multichannel data after lossy compression using a neural network, comprising:

a computing device comprising at least a memory and a processor;
two or more datasets that are substantially correlated and which have been compressed with lossy compression, the two or more datasets comprising correlated multichannel data;
a trained deep learning algorithm configured to recover lost information associated with a compressed bit stream;
and
a decoder comprising a first plurality of programming instructions stored in the memory and operable on the processor, wherein the first plurality of programming instructions, when operating on the processor, cause the computing device to:
receive a compressed bit stream, the compressed bit stream comprising the correlated multichannel data;
decompress the compressed bit stream;
and
use the decompressed bit stream as an input into the trained deep learning algorithm to recover lost information associated with the correlated multichannel data.

6 more elements

Dependencies are inferred from the claim text.

System and methods for upsampling of decompressed correlated multichannel data using a neural network

Life of this patent

System and methods for upsampling of decompressed correlated multichannel data using a neural network

Life of this patent

Abstract

Claims16