Samsung electronics co., ltd. (20240161233). METHOD AND APPARATUS WITH SUPERSAMPLING simplified abstract
Contents
- 1 METHOD AND APPARATUS WITH SUPERSAMPLING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND APPARATUS WITH SUPERSAMPLING - 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
METHOD AND APPARATUS WITH SUPERSAMPLING
Organization Name
Inventor(s)
Jaeyoung Moon of Suwon-si (KR)
Hyeonseung Yu of Suwon-si (KR)
Hwiryong Jung of Suwon-si (KR)
METHOD AND APPARATUS WITH SUPERSAMPLING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240161233 titled 'METHOD AND APPARATUS WITH SUPERSAMPLING
Simplified Explanation
The abstract of the patent application describes a method and apparatus for supersampling a low-resolution three-dimensional image by using a neural network to generate a high-resolution image of the previous frame and combining it with the current frame to create a high-resolution image.
- Receiving a low-resolution three-dimensional image comprising a current frame and a previous frame.
- Generating a low-resolution partial image by sampling sub-pixel regions of the current frame.
- Warping a high-resolution image of the previous frame to the current view corresponding to the current frame.
- Replacing a partial region of the warped high-resolution image with image data from the low-resolution partial image.
- Generating a high-resolution image of the current frame by applying the modified high-resolution image of the previous frame to the neural network.
Potential Applications
This technology could be applied in the fields of computer graphics, virtual reality, augmented reality, and medical imaging.
Problems Solved
This technology solves the problem of generating high-resolution images from low-resolution inputs in real-time applications.
Benefits
The benefits of this technology include improved image quality, enhanced visual experience, and faster processing speeds.
Potential Commercial Applications
Potential commercial applications of this technology include video games, medical imaging software, virtual reality applications, and video editing tools.
Possible Prior Art
Prior art in this field may include existing methods for image super-resolution, neural network-based image processing techniques, and 3D image rendering algorithms.
Unanswered Questions
1. How does this method compare to traditional supersampling techniques in terms of image quality and processing speed? 2. Are there any limitations or constraints in the implementation of this method on different hardware platforms or software environments?
Original Abstract Submitted
a supersampling method and apparatus are provided. the method includes: receiving a low-resolution three-dimensional (3d) image comprising a current frame and receiving a previous frame preceding the current frame; generating a low-resolution partial image by repeatedly sampling sub-pixel regions of the current frame; warping a high-resolution image, of the previous frame, which has been outputted from a neural network, to a current view corresponding to the current frame; replacing a partial region of the warped high-resolution image of the previous frame with image data from the low-resolution partial image; and generating a high-resolution image of the current frame by applying the high-resolution image of the previous frame, in which the partial region has been replaced, to the neural network.
