20240087087.METHOD AND APPARATUS FOR SUPER RESOLUTION simplified abstract (samsung electronics co., ltd.)
Contents
- 1 METHOD AND APPARATUS FOR SUPER RESOLUTION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND APPARATUS FOR SUPER RESOLUTION - 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 FOR SUPER RESOLUTION
Organization Name
Inventor(s)
Hyong Euk Lee of Suwon-si (KR)
METHOD AND APPARATUS FOR SUPER RESOLUTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240087087 titled 'METHOD AND APPARATUS FOR SUPER RESOLUTION
Simplified Explanation
The patent application describes systems and methods for super-resolution (SR), which involves enhancing the resolution of an image.
- The SR method involves determining the direction type of an input image based on its gradient.
- A first intermediate image is obtained using a look-up table (LUT) that stores SR operation results for different pixel value combinations corresponding to different direction types.
- SR interpolation is applied to the input image to obtain a baseline image.
- An output image is generated based on the first intermediate image and the baseline image.
Potential Applications
This technology could be applied in various fields such as medical imaging, satellite imaging, surveillance systems, and digital photography.
Problems Solved
This technology addresses the issue of low-resolution images by enhancing their quality and providing clearer details.
Benefits
The benefits of this technology include improved image quality, enhanced details, and better visualization of images.
Potential Commercial Applications
Potential commercial applications of this technology include software development for image enhancement, camera technology, and video processing.
Possible Prior Art
One possible prior art for this technology could be existing super-resolution algorithms and methods used in image processing software.
Unanswered Questions
How does this technology compare to existing super-resolution methods in terms of performance and efficiency?
This article does not provide a direct comparison with existing super-resolution methods to evaluate its performance and efficiency.
What are the limitations or constraints of implementing this technology in real-world applications?
The article does not discuss the potential challenges or limitations of implementing this technology in practical settings.
Original Abstract Submitted
systems and methods for super-resolution (sr) are described. the sr method includes determining a direction type of an input image based on a gradient of the input image, obtaining a first intermediate image based on the direction type using a look-up table (lut) that stores an sr operation result of a pixel value combination corresponding to a kernel set mapped to the determined direction type, wherein the first intermediate image is an sr image corresponding to the input image, applying sr interpolation to the input image to obtain a baseline image, and obtaining an output image based on the first intermediate image and the baseline image.
