Samsung electronics co., ltd. (20240161230). METHOD AND APPARATUS FOR PROCESSING IMAGE BASED ON NEURAL NETWORK simplified abstract
Contents
- 1 METHOD AND APPARATUS FOR PROCESSING IMAGE BASED ON NEURAL NETWORK
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND APPARATUS FOR PROCESSING IMAGE BASED ON NEURAL NETWORK - 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
METHOD AND APPARATUS FOR PROCESSING IMAGE BASED ON NEURAL NETWORK
Organization Name
Inventor(s)
Hyong Euk Lee of Suwon-si (KR)
METHOD AND APPARATUS FOR PROCESSING IMAGE BASED ON NEURAL NETWORK - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240161230 titled 'METHOD AND APPARATUS FOR PROCESSING IMAGE BASED ON NEURAL NETWORK
Simplified Explanation
The abstract describes a neural network-based image processing method and apparatus that involves receiving an input image with a certain resolution and estimating a preview image of the input image with a lower resolution using a neural network model.
- Neural network-based image processing method and apparatus:
* Receives an input image with a first resolution * Estimates a preview image of the input image with a second resolution lower than the first resolution using a neural network model
Potential Applications
This technology could be applied in various fields such as:
- Image compression
- Image enhancement
- Image recognition
Problems Solved
This technology helps in addressing the following issues:
- Efficient image processing with reduced resolution
- Faster image preview generation
Benefits
The benefits of this technology include:
- Improved image processing speed
- Enhanced image quality
- Reduced computational resources required
Potential Commercial Applications
The potential commercial applications of this technology could be seen in:
- Photography software
- Medical imaging devices
- Security systems
Possible Prior Art
One possible prior art could be the use of traditional image processing techniques for generating preview images with lower resolutions.
What are the limitations of this technology in real-world applications?
The limitations of this technology in real-world applications could include:
- Limited accuracy in estimating preview images
- Dependency on the quality of the neural network model
How does this technology compare to existing image processing methods?
This technology offers advantages such as:
- Faster processing speed
- Enhanced image quality
- Reduced computational resources required
Original Abstract Submitted
a neural network-based image processing method and apparatus are provided. the method includes receiving an input image having a first resolution, and estimating a preview image of the input image having a second resolution that is lower than the first resolution by using a neural network model.
