Image processing apparatus and operation method for learning parameiers based on machine learning
US11575897B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 29, 2019 |
| Grant date | Feb 7, 2023 |
| Priority date | — |
| Expiry date | Nov 29, 2039 |
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 within a codec. 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, and a multiplexing processor configured to control the output stream to be multiplexed and transmitted. The encoding processor outputs a filter parameter trained based on machine learning using the stored original frame and a restored frame obtained by the encoding. A device on a decoding side decodes the output stream by using the output filter parameter.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.