18397751. METHODS AND APPARATUS TO IMPLEMENT SUPER-RESOLUTION UPSCALING FOR DISPLAY DEVICES simplified abstract (Intel Corporation)
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 Unanswered Questions
- 1.11 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 18397751 titled 'METHODS AND APPARATUS TO IMPLEMENT SUPER-RESOLUTION UPSCALING FOR DISPLAY DEVICES
Simplified Explanation
The patent application describes a system and method for generating super-resolution upscaling of images using neural networks.
- 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 processes the input image data to produce neural network output data with a number of channels per pixel based on the upscale factor.
- Intermediate image and neural network output data are combined to generate output image data with the higher resolution.
Potential Applications
This technology could be applied in various fields such as:
- Image processing
- Video enhancement
- Medical imaging
Problems Solved
- Enhancing image quality without losing details
- Improving resolution of low-quality images
Benefits
- Enhanced image quality
- Improved visualization
- Better analysis of images
Potential Commercial Applications
- Photography software
- Video editing tools
- Medical imaging devices
Possible Prior Art
One possible prior art could be traditional image upscaling techniques that do not utilize neural networks for super-resolution upscaling.
Unanswered Questions
How does this technology compare to existing image upscaling methods?
This article does not provide a direct comparison with traditional image upscaling techniques.
What are the limitations of this technology in terms of processing speed and computational resources?
The article does not address the potential limitations of the system in terms of processing speed and computational resources.
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.
