Google llc (20240129468). PARAMETERIZED NOISE SYNTHESIS FOR GRAPHICAL ARTIFACT REMOVAL simplified abstract
Contents
- 1 PARAMETERIZED NOISE SYNTHESIS FOR GRAPHICAL ARTIFACT REMOVAL
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 PARAMETERIZED NOISE SYNTHESIS FOR GRAPHICAL ARTIFACT REMOVAL - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
PARAMETERIZED NOISE SYNTHESIS FOR GRAPHICAL ARTIFACT REMOVAL
Organization Name
Inventor(s)
Danny Hong of New York NY (US)
Richard Xie of Cupertino CA (US)
Ramachandra Tahasildar of Cupertino CA (US)
PARAMETERIZED NOISE SYNTHESIS FOR GRAPHICAL ARTIFACT REMOVAL - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240129468 titled 'PARAMETERIZED NOISE SYNTHESIS FOR GRAPHICAL ARTIFACT REMOVAL
Simplified Explanation
The patent application describes techniques to mitigate or eliminate banding and other graphical artifacts in video frames by adding synthetic noise during decoding and presentation by a client device.
- Identification of quantization parameter associated with input video frames
- Determination of noise synthesis parameters based on the identified quantization parameter
- Encoding of input video frames for transmission
- Transmission of encoded video frames along with noise synthesis parameters to client device
- Client device uses noise synthesis parameters to generate synthetic noise for resulting video frames
Potential Applications
This technology can be applied in video streaming services, video conferencing platforms, and digital signage systems to improve the visual quality of transmitted video content.
Problems Solved
1. Banding and other graphical artifacts in video frames 2. Degradation of video quality during transmission and decoding processes
Benefits
1. Enhanced visual quality of video content 2. Improved user experience with reduced visual artifacts 3. Increased efficiency in video transmission and decoding
Potential Commercial Applications
Optimizing video streaming services, enhancing video conferencing platforms, and improving digital signage systems for better visual quality and user experience.
Possible Prior Art
One possible prior art could be the use of noise reduction techniques in image and video processing to improve visual quality and reduce artifacts.
Original Abstract Submitted
pre-encoding noise parameterization techniques mitigate or eliminate banding and other graphical artifacts in video frames for decoding and presentation by a client device. for one or more input video frames, a quantization parameter associated with the input video frames is identified. noise synthesis parameters are determined based on the identified quantization parameter, and the input video frames are encoded for transmission. the encoded video frames are transmitted to the client device along with the determined noise synthesis parameters, for use by the client device in generating synthetic noise to add to resulting video frames decoded by the client device.
