Vertex Pixel Buffer Encoding Sub-pixel Edge Features
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Solution Overview
Problem
Current computing systems face limitations in rendering high-resolution images and videos due to finite output device capabilities, leading to pixilation and digital artifacts, as they struggle to accurately represent edges and features with traditional pixel-based representations, which often require increased sample rates and storage costs.
Innovation Solution
The method involves encoding pixel information by identifying and storing vertex locations and edge intersection data within existing pixel data structures, allowing for improved resolution and image quality without increasing computation, bandwidth, or storage costs, by utilizing high-frequency data to represent sub-pixel features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional pixel-based representations are used to render images, then output devices can display images at finite resolution, but edges and features are not accurately represented, resulting in pixilation and digital artifacts
Solution Approach 1:
The patent embeds vertex location information within existing pixel data structures by utilizing unused bits in the pixel format. Vertex data is nested within pixel buffers without requiring separate data structures, allowing sub-pixel feature representation while maintaining compatibility with existing rendering pipelines and output device constraints
Solution Approach 2:
The patent introduces an additional dimensional aspect to pixel data by encoding vertex location information within the pixel buffer itself. This transforms traditional 2D pixel grids into a multi-dimensional data structure that carries both color and geometric feature information, enabling accurate edge representation without increasing the physical pixel count
2Manufacturing precision
If more pixels per degree are added to improve resolution and represent edges accurately, then image quality improves, but computation costs, bandwidth costs, and storage costs increase
Solution Approach 1:
The patent extracts only the essential vertex location information from high-frequency image data and encodes it into pixel buffers. By taking out only the critical geometric features (vertex positions) rather than retaining all high-frequency pixel data, the system achieves improved edge representation while minimizing storage requirements
Solution Approach 2:
The patent changes the parameter representation by encoding vertex locations as fractional offsets within pixel buffers rather than storing full-resolution pixel data. This parameter transformation allows sub-pixel feature representation using the same storage capacity, effectively improving resolution without proportionally increasing storage requirements
3Productivity
If sampling algorithms are applied to acquire image data for output, then images can be rendered, but portions of the surface may be missed, especially at edges of geometric shapes
Solution Approach 1:
The patent performs preliminary identification of vertex locations within pixels before the main rendering process. By pre-detecting and encoding vertex positions in pixel buffers, the system ensures that edge features are preserved and can be accurately rendered without requiring additional sampling passes or post-processing steps
Data Source
AI summary
Encoding pixel information for pixels of an image. A method includes accessing information defining high-frequency image data correlated with pixels. The method further includes for each pixel, identifying if a vertex from the high-frequency image data is located in that pixel based on analysis of the high-frequency data correlated with the pixel. The method further includes, for one or more pixels in which a vertex is located, identifying the location of the vertex. The method further includes encoding the vertex location into image pixel data.