Nvidia corporation (20240127409). DEPTH BASED IMAGE SHARPENING simplified abstract
Contents
- 1 DEPTH BASED IMAGE SHARPENING
DEPTH BASED IMAGE SHARPENING
Organization Name
Inventor(s)
Pascal Gilcher of Koerborn (DE)
DEPTH BASED IMAGE SHARPENING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240127409 titled 'DEPTH BASED IMAGE SHARPENING
Simplified Explanation
The patent application describes a method of using pixel depth information to adjust the weight applied to neighboring pixels when applying a sharpening filter. This technique involves evaluating the difference between neighboring pixel depths and giving less weight to pixels with depths that exceed a certain threshold.
- Pixel depth information is utilized to determine the weight to apply to neighboring pixels in a sharpening filter.
- Neighboring pixel depths are compared, and pixels with depths exceeding a threshold are given less weight.
- A sharpening mask can be created using adjusted pixel colors.
Potential Applications
This technology could be applied in image processing software to enhance the sharpness of images while taking into account pixel depth information.
Problems Solved
This innovation addresses the challenge of sharpening images without causing artifacts or noise, by adjusting the weight of neighboring pixels based on their depth.
Benefits
- Improved image sharpness without introducing unwanted artifacts. - Enhanced image quality by considering pixel depth information. - More precise sharpening results in image processing applications.
Potential Commercial Applications
The technology could be integrated into photo editing software, digital cameras, and image processing algorithms to improve the sharpness and overall quality of images.
Possible Prior Art
One possible prior art could be the use of pixel intensity values to adjust the weight of neighboring pixels in image processing algorithms.
Unanswered Questions
How does this method compare to traditional sharpening filters in terms of performance and quality?
This article does not provide a direct comparison between this method and traditional sharpening filters in terms of performance and quality. Further research or testing may be needed to determine the effectiveness of this technique compared to existing methods.
What impact does the pixel depth threshold have on the final sharpening results?
The article does not delve into the specific impact of the pixel depth threshold on the final sharpening results. Understanding how this threshold affects the overall sharpening process could provide valuable insights into optimizing the technique for different applications.
Original Abstract Submitted
pixel depth information is used to determine a weight to apply to neighboring pixels when using a sharpening filter. a difference between neighboring pixel depths is evaluated and pixels with pixel depths that exceed a threshold are given less weight than other pixels. a sharpening mask may be generated using adjusted pixel colors.
