Introduction to Area-Based Anti-Aliasing for CGI
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Computer Generated Imagery (CGI) consists of computer applications for creating images in art, video games and 3D animation. These images consist of 2 dimensional arrays of pixels (picture elements), such as 1kx1k pixels for example. When images are computed using a single sample per pixel, they show aliasing artifacts such as stairsteps on feature edges (jaggies). Aliasing artifacts can be minimized by applying Anti-Aliasing (AA) techniques, such as Multi-Sample AA (MSAA). With MSAA, several images are computed for a few sample points per pixel, followed by images averaging. MSAA is computati...
Computer Generated Imagery (CGI) consists of computer applications for creating images in art, video games and 3D animation. These images consist of 2 dimensional arrays of pixels (picture elements), such as 1kx1k pixels for example. When images are computed using a single sample per pixel, they show aliasing artifacts such as stairsteps on feature edges (jaggies). Aliasing artifacts can be minimized by applying Anti-Aliasing (AA) techniques, such as Multi-Sample AA (MSAA). With MSAA, several images are computed for a few sample points per pixel, followed by images averaging. MSAA is computation intensive, slow, costly and with mixed results. The author has developed a new approach to AA, Area-Based AA (ABAA), that is vastly superior to MSAA. ABAA relies on subpixel area-sampling instead of point-sampling. It produces better quality images. It is also much faster, simpler, low-power and low-cost. With all these advantages, ABAA should be widely accepted for future 3D CGI implementations. This book has three versions and this is the introductory version.
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