Image processing apparatus and operation method for learning parameters based on machine learning
US11943454B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 29, 2019 |
| Grant date | Mar 26, 2024 |
| Priority date | — |
| Expiry date | Dec 1, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N21/236
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to a technical idea of compensating for degradation of an image quality during compression in an encoding process by using a parameter trained based on machine learning. An image processing apparatus includes an input frame buffer configured to store an input original frame, an encoding processor configured to encode the stored original frame, an output stream buffer configured to output the encoded original frame as an output stream for multiplexing, a multiplexing processor configured to control the output stream to be multiplexed and transmitted, a local decoding processor configured to output a restored stream by receiving the output stream from the output stream buffer and decoding the output stream, a restored frame buffer configured to store the output restored stream, and a machine learning processor configured to collect the input original frame and the output restored frame, output a parameter based on machine learning of the collected original frame and the collected restored frame, and control the multiplexing processor to transmit the output parameter to a decoding side.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.