Nvidia corporation (20240096050). PRESERVING DETAIL IN DENOISED IMAGES FOR CONTENT GENERATION SYSTEMS AND APPLICATIONS simplified abstract
Contents
- 1 PRESERVING DETAIL IN DENOISED IMAGES FOR CONTENT GENERATION SYSTEMS AND APPLICATIONS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 PRESERVING DETAIL IN DENOISED IMAGES FOR CONTENT GENERATION SYSTEMS AND APPLICATIONS - 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
PRESERVING DETAIL IN DENOISED IMAGES FOR CONTENT GENERATION SYSTEMS AND APPLICATIONS
Organization Name
Inventor(s)
PRESERVING DETAIL IN DENOISED IMAGES FOR CONTENT GENERATION SYSTEMS AND APPLICATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240096050 titled 'PRESERVING DETAIL IN DENOISED IMAGES FOR CONTENT GENERATION SYSTEMS AND APPLICATIONS
Simplified Explanation
The approaches presented in this patent application aim to maintain fine details in an image that may be lost during the denoising process. By extracting pixel data corresponding to high frequency features, the final output image will have less noise while preserving important details.
- Extract pixel data for fine detail preservation
- Compare material property values of individual pixels with neighboring pixels
- Multiply ratio of material values with corresponding denoised pixel values for final output
Potential Applications
The technology can be applied in various fields such as medical imaging, satellite imagery, photography, and video processing where preserving fine details is crucial.
Problems Solved
This technology addresses the issue of losing fine details during the denoising process, ensuring that important information is retained in the final image.
Benefits
The benefits of this technology include improved image quality, enhanced detail preservation, and reduced noise levels without sacrificing important features.
Potential Commercial Applications
Potential commercial applications of this technology include software development for image processing, medical imaging equipment, surveillance systems, and photography software.
Possible Prior Art
One possible prior art for this technology could be the use of edge-preserving filters in image processing to maintain fine details while reducing noise.
What is the impact of this technology on the field of image processing?
This technology significantly improves the quality of denoised images by preserving fine details that would otherwise be lost. It enhances the overall visual appeal and accuracy of processed images.
How does this technology compare to existing denoising techniques?
This technology stands out by specifically targeting the preservation of fine details during the denoising process, ensuring that important features are not compromised. It offers a unique approach to enhancing image quality while reducing noise levels.
Original Abstract Submitted
approaches presented herein provide for the maintaining of fine details that might be removed by a denoiser used to reduce an amount of noise in an image. an input image can be provided to a denoiser, and can also can be simultaneously processed to extract pixel data that may correspond to fine detail or high frequency features. individual pixels of an image can have a value determined for a material property sampled for that pixel location, and that value can be compared against an average material property value determined for neighboring pixels. the ratio of material values can be multiplied by the value of a corresponding pixel of the denoised image, for any or all pixel locations, to obtain final pixel values for an output image that include less noise than the original image but represent fine detail that may otherwise have been lost during the denoising process.
