Intel corporation (20240127396). METHODS AND APPARATUS TO IMPLEMENT SUPER-RESOLUTION UPSCALING FOR DISPLAY DEVICES simplified abstract
Contents
- 1 METHODS AND APPARATUS TO IMPLEMENT SUPER-RESOLUTION UPSCALING FOR DISPLAY DEVICES
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHODS AND APPARATUS TO IMPLEMENT SUPER-RESOLUTION UPSCALING FOR DISPLAY DEVICES - 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
METHODS AND APPARATUS TO IMPLEMENT SUPER-RESOLUTION UPSCALING FOR DISPLAY DEVICES
Organization Name
Inventor(s)
Petrus Van Beek of Vancouver WA (US)
Chyuan-Tyng Wu of San Jose CA (US)
METHODS AND APPARATUS TO IMPLEMENT SUPER-RESOLUTION UPSCALING FOR DISPLAY DEVICES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240127396 titled 'METHODS AND APPARATUS TO IMPLEMENT SUPER-RESOLUTION UPSCALING FOR DISPLAY DEVICES
Simplified Explanation
The patent application describes a system for generating super-resolution upscaling of images using a combination of neural networks and intermediate image data.
- Interface circuitry accepts input image data with a first resolution.
- Programmable circuitry upscales the input image data based on an upscale factor to generate intermediate image data with a higher resolution.
- Neural network processing is used to produce neural network output data with a number of channels per pixel based on the upscale factor.
- The intermediate image and neural network output data are combined to generate output image data with the second resolution.
Potential Applications
This technology could be applied in various fields such as medical imaging, satellite imaging, surveillance systems, and video processing.
Problems Solved
This technology addresses the challenge of enhancing image quality and resolution without significant loss of detail or distortion.
Benefits
The system provides a way to improve the visual quality of images, making them clearer and more detailed for better analysis and interpretation.
Potential Commercial Applications
Commercial applications of this technology could include image editing software, video enhancement tools, and high-resolution display devices.
Possible Prior Art
Prior art in the field of image upscaling includes various algorithms and techniques such as bicubic interpolation, Lanczos resampling, and deep learning-based super-resolution methods.
=== What are the specific machine readable instructions used in the system? The specific machine readable instructions used in the system are designed to upscale the input image data based on an upscale factor and process it with a neural network to generate output image data with a higher resolution.
=== How does the system determine the number of channels per pixel in the neural network output data? The system determines the number of channels per pixel in the neural network output data based on the upscale factor used to upscale the input image data.
Original Abstract Submitted
systems, apparatus, articles of manufacture, and methods are disclosed to generate super-resolution upscaling. an example apparatus to process an image disclosed herein includes interface circuitry to accept input image data with a first resolution, machine readable instructions, and programmable circuitry to at least one of instantiate or execute the machine readable instructions to upscale the input image data based on an upscale factor to generate intermediate image data with a second resolution higher than the first resolution, process the input image data with a neural network to produce neural network output data with a number of channels per pixel that is based on the upscale factor, combine the intermediate image and the neural network output data to generate output image data with the second resolution.
