18525625. RANGE AWARE SPATIAL UPSCALING simplified abstract (QUALCOMM Incorporated)
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 18525625 titled 'RANGE AWARE SPATIAL UPSCALING
Simplified Explanation
The abstract describes a method for upscaling images while preserving edge sharpness and enhancing details by considering both spatial and intensity differences between pixels during interpolation.
- The method involves upscaling images using spatial and intensity differences between a pixel to be interpolated and neighboring pixels.
- By assigning larger weights to pixels with closer intensity values and shorter distances to the pixel to be interpolated, small details are preserved.
- This approach prevents small details from being smoothed out, resulting in a more accurate upscaled image with sharp edges and enhanced details.
Potential Applications
This technology could be applied in various fields such as medical imaging, satellite imagery, video processing, and digital photography to enhance the quality of upscaled images.
Problems Solved
1. Preserves sharp edges and small details in upscaled images. 2. Prevents smoothing out of small details during interpolation.
Benefits
1. Improved image quality in higher resolution. 2. Enhanced details and sharp edges in upscaled images.
Potential Commercial Applications
"Enhanced Image Upscaling Technology for High-Resolution Outputs" could be used in industries such as entertainment, surveillance, and medical imaging for producing high-quality upscaled images.
Possible Prior Art
Prior art in image upscaling techniques includes methods like bicubic interpolation, Lanczos resampling, and super-resolution algorithms that focus on spatial differences but may not consider intensity variations like the proposed technology.
Unanswered Questions
How does this technology compare to existing image upscaling methods in terms of computational efficiency?
The abstract does not provide information on the computational efficiency of the proposed technology compared to existing methods. This aspect is crucial for practical applications where processing time and resources are limited.
What is the potential impact of this technology on file sizes of upscaled images?
The abstract does not address how the proposed technology may affect the file sizes of upscaled images. Understanding this aspect is essential for applications where storage space is a concern, such as in cloud-based image processing systems.
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.
