Qualcomm incorporated (20240177267). RANGE AWARE SPATIAL UPSCALING simplified abstract
Contents
- 1 RANGE AWARE SPATIAL UPSCALING
RANGE AWARE SPATIAL UPSCALING
Organization Name
Inventor(s)
RANGE AWARE SPATIAL UPSCALING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240177267 titled 'RANGE AWARE SPATIAL UPSCALING
Simplified Explanation
The patent application describes a method for upscaling images while preserving edge sharpness and enhancing details by considering both spatial and intensity differences between pixels.
- The method involves upscaling images using a spatial difference between a pixel to be interpolated and its neighboring pixels, as well as an intensity difference between neighboring pixels and the mean intensity of a subset of neighboring pixels.
- By considering both spatial and intensity differences, small details in the input image are preserved, preventing them from being smoothed out during upscaling.
- This approach assigns a larger weight to pixels with closer intensity values and closer distances to the pixel being interpolated, resulting in a more accurate upscaled image with sharp edges and small details.
Potential Applications
This technology could be applied in various fields such as medical imaging, satellite imagery, video processing, and digital photography to enhance image quality during upscaling processes.
Problems Solved
This technology addresses the issue of losing small details and sharp edges when upscaling images using traditional methods that only consider spatial differences, leading to more accurate and visually appealing upscaled images.
Benefits
The benefits of this technology include improved image quality, preservation of small details, and sharper edges in upscaled images, leading to a more realistic and high-resolution output.
Potential Commercial Applications
Potential commercial applications of this technology include software development for image upscaling tools, integration into digital cameras and smartphones for enhanced image processing, and implementation in medical imaging software for improved diagnostic accuracy.
Possible Prior Art
One possible prior art could be the use of bicubic interpolation in image upscaling, which also considers neighboring pixel values but may not take into account intensity differences as described in the patent application.
Unanswered Questions
How does this technology compare to other state-of-the-art image upscaling methods in terms of computational efficiency?
The patent application does not provide information on the computational efficiency of the proposed method compared to existing techniques. It would be interesting to know if this approach requires more computational resources or if it is comparable to other methods in terms of speed and efficiency.
Are there any limitations or constraints when applying this technology to real-time image processing applications?
The patent application does not discuss any potential limitations or constraints when implementing this technology in real-time image processing applications. It would be helpful to understand if there are any specific requirements or challenges that need to be addressed for real-time processing scenarios.
Original Abstract Submitted
aspects are provided for preserving the edge sharpness and enhancing details while upscaling a rendered image. some aspects specifically relate to upscaling images using a spatial difference between a pixel to be interpolated and respective neighboring pixels, and an intensity difference between respective neighboring pixels and a mean intensity of a subset of the neighboring pixels. considering both the spatial and intensity difference during upscaling prevents small details of the input image from being smoothed, since a larger weight may be assigned to pixels with a closer intensity value and that are closer in distance to the pixel to be interpolated than in techniques such as bilinear interpolation where only spatial difference may be considered. the result is an upscaled image that preserves sharp edges and small detail for a more accurate upscaled image in a higher resolution than compared to related upscaling methods that only consider using spatial difference.
