Multi-sample antialiasing optimization via edge tracking
View Patent ↗An efficient method and system for multi-sample antialiasing in graphics processing is described. Geometric edges as well as implicit edges of primitives in a bin are identified by iteratively rendering bins of pixels. Selective multi-sample antialiasing is applied to pixels that are touched by either a geometric edge or an implicit edge; pixels that are fully covered are not antialiased.
1. A method comprising:
rendering an image space by using iterations over a plurality of bins which correspond to screen regions, each said bin including a plurality of pixels;
for a given fragment over a respective bin, attempting to identify edges; and
rendering said given fragment within said respective bin, the rendering being done differently, either with or without multi-sample antialiasing.
2. The method of claim 1 , wherein identifying edges include identifying geometric edges.
3. The method of claim 2 , wherein identifying edges include identifying implicit edges.
4. The method of claim 3 , wherein fragments having either geometric or implicit edges are rendered using multi-sample antialiasing.
5. The method of claim 3 , wherein if the given fragment lacks any geometric or implicit edges, the given fragment is rendered without antialiasing.
6. The method of claim 2 , wherein said geometric edges are identified from a coverage mask produced during rasterization.
7. The method of claim 1 , wherein at the start of a bin, depth buffers and color buffers are cleared and any edge tracking reset.
8. A system comprising:
a display;
a processor;
memory; and
one or more programs stored in the memory containing instructions for:
rendering an image space by using iterations over a plurality of bins which correspond to screen regions, each said bin including a plurality of pixels;
for a given fragment over a respective bin, attempting to identify edges; and
rendering said given fragment within said respective bin, the rendering being done differently, either with or without multi-sample antialiasing.
9. The system of claim 8 , wherein identifying edges include identifying geometric edges.
10. The system of claim 9 , wherein identifying edges include identifying implicit edges.
11. The system of claim 10 , wherein fragments having either geometric or implicit edges are rendered using multi-sample antialiasing.
12. The system of claim 10 , wherein if the given fragment lacks any geometric or implicit edges, the given fragment is rendered without antialiasing.
13. The system of claim 9 , wherein said geometric edges are identified from a coverage mask produced during rasterization.
14. The system of claim 8 , wherein at the start of a bin, depth buffers and color buffers are cleared and any edge tracking reset.
15. A non-transitory computer readable medium storing instructions for:
rendering an image space by using iterations over a plurality of bins which correspond to screen regions, each said bin including a plurality of pixels;
for a given fragment over a respective bin, attempting to identify edges; and
rendering said given fragment within said respective bin, the rendering being done differently, either with or without multi-sample antialiasing.
16. The non-transitory computer readable medium of claim 15 , wherein identifying edges include identifying geometric edges.
17. The non-transitory computer readable medium of claim 16 , wherein identifying edges include identifying implicit edges.
18. The non-transitory computer readable medium of claim 17 , wherein fragments having either geometric or implicit edges are rendered using multi-sample antialiasing.
19. The non-transitory computer readable medium of claim 16 , wherein said geometric edges are identified from a coverage mask produced during rasterization.
20. The non-transitory computer readable medium of claim 15 , wherein at the start of a bin, depth buffers and color buffers are cleared and any edge tracking reset.