Edge Anti-Aliasing Pixel Processing for Graphics Efficiency
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Solution Overview
Problem
Traditional 3D graphic processing methods, such as Multi Sampling Anti-Aliasing (MSAA), require multiple samples per pixel, leading to increased processing capacity and memory bandwidth demands, which bottleneck graphic processor performance and increase power consumption, especially in embedded systems.
Innovation Solution
The method involves double sampling pixels horizontally and vertically to determine if four sampling points are covered by a triangle, calculating and copying depth values accordingly, and performing color processing based on triangle coverage, reducing redundant calculations and data processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If multi sampling anti-aliasing algorithm is used to eliminate aliasing effect, then image quality is improved, but processing capacity and memory bandwidth demands increase significantly
Solution Approach 1:
The patent applies partial sampling by selecting only certain pixels for anti-aliasing processing based on edge detection, rather than processing all pixels. This reduces the sampling burden while maintaining anti-aliasing effectiveness at critical locations, resolving the contradiction between image quality and processing capacity.
Solution Approach 2:
The patent implements local anti-aliasing processing by identifying edge regions and applying multi-sampling only to pixels located at object boundaries. Interior pixels are processed with standard rendering, thereby concentrating computational resources where they are most needed for image quality while preserving processing capacity.
2Manufacturing precision
If multi sampling anti-aliasing algorithm is used to eliminate aliasing effect, then image quality is improved, but memory bandwidth consumption increases
Solution Approach 1:
The patent reduces memory bandwidth consumption by performing anti-aliasing sampling only on selected pixels at edge locations rather than all pixels. This partial sampling approach significantly reduces the volume of data that needs to be read from and written to memory, while still achieving effective anti-aliasing where it matters most.
Solution Approach 2:
The patent applies memory-intensive multi-sampling operations locally only to pixels identified as being on object boundaries. By confining high-bandwidth operations to edge regions and using standard rendering for interior regions, the patent optimizes memory bandwidth utilization while maintaining overall image quality.
3Manufacturing precision
If multi sampling anti-aliasing algorithm is used to eliminate aliasing effect, then image quality is improved, but power consumption increases
Solution Approach 1:
The patent reduces power consumption by limiting multi-sampling anti-aliasing operations to a subset of pixels at edge locations. By avoiding redundant sampling of interior pixels that do not contribute to anti-aliasing needs, the patent reduces the energy consumed by the graphics processing pipeline while maintaining image quality improvements at critical boundaries.
Solution Approach 2:
The patent optimizes power consumption by applying computationally intensive multi-sampling only to local edge regions where anti-aliasing is needed. This localized approach reduces the total number of processing operations across the entire image, thereby reducing overall power consumption while preserving image quality at boundaries.
Data Source
AI summary
The present disclosure provides an edge anti-aliasing graphic processing method, system, storage medium and apparatus. The method includes: obtaining four sampling points by double sampling a pixel horizontally and vertically and performing rasterization to the pixel, determining whether the four sampling points are covered by a triangle; performing a depth value test on the pixel, and determining whether the four sampling points of the pixel are all covered by the triangle; performing final color processing on the pixel, determining whether the four sampling points are covered by the triangle, if the four sampling points are all covered by the triangle, copying a color of the pixel center point to the four sampling points, if not all the four sampling points are covered by the triangle, mixing colors of the four sampling points of the pixel.