Hybrid anti-aliasing
Systems, apparatuses, and methods for performing hybrid anti-aliasing operations are disclosed. The hybrid anti-aliasing resolve operation combines multi-sampling anti-aliasing (MSAA) and post-processing anti-aliasing to generate higher-quality images in a computationally efficient manner. In one embodiment, a processor detects a request to perform an anti-aliasing resolve operation on an image stored in the memory. Responsive to detecting the request, the processor expands dimensions of the image and then filters the image with a post-processing anti-aliasing filter. After filtering the image, the processor performs an averaging of the image which becomes the result of the anti-aliasing resolve operation. Expanding dimensions of the image involves converting sub-pixels of the image into regular pixels. The processor can also rotate the image to align the sub-pixels into a vertical and horizontal grid pattern prior to filtering the image.
1. A system comprising:
a memory; and
a processor;
wherein the processor is configured to:
detect a request to perform an anti-aliasing resolve operation on a first image stored in the memory, wherein the first image includes multiple sub-pixel samples per pixel and has a first set of dimensions;
responsive to detecting the request:
expand dimensions of the first image to create a second image such that each pixel of the second image has a single sample represented by one of the sub-pixel samples of the first image and has a second set of dimensions greater than the first set of dimensions;
perform post-processing anti-aliasing on the second image to create a third image with the second set of dimensions; and
reduce dimensions of the third image to create a fourth image, wherein the fourth image is a result of the anti-aliasing resolve operation.
2. The system as recited in claim 1 , wherein performing post-processing anti-aliasing comprises filtering pixels based on values of surrounding pixels, and wherein the anti-aliasing processing is performed prior to the averaging.
3. The system as recited in claim 1 , wherein expanding dimensions of the first image comprises converting sub-pixels of the first image into regular pixels of the second image.
4. The system as recited in claim 1 , wherein responsive to the request, the processor is further configured to rotate the first image such that the multiple sub-pixel samples align with pixels of the second image.
5. The system as recited in claim 4 , wherein the processor is configured to rotate the first image to align the sub-pixels into a vertical and horizontal grid pattern within the second image.
6. The system as recited in claim 5 , wherein the processor is configured to:
rearrange a plurality of triangular portions from the first image into new locations within the second image; and
rearrange any remaining portions of the first image into new locations within the second image in between the plurality of triangular portions which have been rearranged.
7. The system as recited in claim 6 , wherein the processor is configured to:
move a first triangular portion from a left-side of the first image to a right-side of the second image; and
move a second triangular portion from a right-side of the first image to a left-side of the second image; and
move a third portion of the first image to fit between the first triangular portion and the second triangular portion within the second image.
8. A method for use in a computing device, the method comprising:
detecting a request to perform an anti-aliasing resolve operation on a first image which includes multiple sub-pixel samples per pixel and has a first set of dimensions;
responsive to detecting the request:
expanding dimensions of the first image to create a second image such that each pixel of the second image has a single sample represented by one of the sub-pixel samples of the first image and has a second set of dimensions greater than the first set of dimensions;
performing post-processing anti-aliasing on the second image to create a third image with the second set of dimensions; and
reducing dimensions of the third image to create a fourth image, wherein the fourth image is a result of the anti-aliasing resolve operation.
9. The method as recited in claim 8 , wherein performing post-processing anti-aliasing comprises filtering pixels based on values of surrounding pixels, and wherein the anti-aliasing processing is performed prior to the averaging.
10. The method as recited in claim 8 , wherein expanding dimensions of the first image comprises converting sub-pixels of the first image into regular pixels of the second image.
11. The method as recited in claim 8 , wherein responsive to the request, the method further comprises rotating the first image such that the multiple sub-pixel samples align with pixels of the second image.
12. The method as recited in claim 11 , further comprising rotating the first image to align the sub-pixels into a vertical and horizontal grid pattern within the second image.
13. The method as recited in claim 12 , further comprising:
rearranging a plurality of triangular portions from the first image into new locations within the second image; and
rearranging any remaining portions of the first image into new locations within the second image in between the plurality of triangular portions which have been rearranged.
14. The method as recited in claim 13 , further comprising:
moving a first triangular portion from a left-side of the first image to a right-side of the second image;
moving a second triangular portion from a right-side of the first image to a left-side of the second image; and
moving a third portion of the first image to fit between the first triangular portion and the second triangular portion within the second image.
15. A processor comprising:
a memory; and
a plurality of execution units;
wherein the plurality of execution units are configured to:
detect a request to perform an anti-aliasing resolve operation on a first image stored in the memory, wherein the first image includes multiple sub-pixel samples per pixel and has a first set of dimensions;
responsive to detecting the request:
expand dimensions of the first image to create a second image such that each pixel of the second image has a single sample represented by one of the sub-pixel samples of the first image and has a second set of dimensions greater than the first set of dimensions;
perform post-processing anti-aliasing on the second image to create a third image with the second set of dimensions; and
reduce dimensions of the third image to create a fourth image, wherein the fourth image is a result of the anti-aliasing resolve operation.
16. The processor as recited in claim 15 , wherein performing post-processing anti-aliasing comprises filtering pixels based on values of surrounding pixels, and wherein the anti-aliasing processing is performed prior to the averaging.
17. The processor as recited in claim 15 , wherein expanding dimensions of the first image comprises converting sub-pixels of the first image into regular pixels of the second image.
18. The processor as recited in claim 15 , wherein responsive to the request, the execution units are further configured to rotate the first image such that the multiple sub-pixel samples align with pixels of the second image.
19. The processor as recited in claim 18 , wherein the processor is configured to rotate the first image to align the sub-pixels into a vertical and horizontal grid pattern within the second image.
20. The processor as recited in claim 19 , wherein the processor is configured to:
rearrange a plurality of triangular portions from the first image into new locations within the second image; and
rearrange any remaining portions of the first image into new locations within the second image in between the plurality of triangular portions which have been rearranged.