A cost-effective supersampling for full scene antialiasing

Byung Uck Kim, Woo Chan Park, Sung-Bong Yang, Tack-Don Han

Research output: Contribution to journalArticle

Abstract

We present a graphics hardware system to implement supersampling cost-effectively. Supersampling is the well-known technique to produce high quality images. However, rendering the scene at a higher resolution requires a large amount of memory size and memory bandwidth. Such costs can be alleviated by grouping subpixels into a fragment with a coverage mask which indicates which part of the pixel is covered. However, this may cause color distortion when several objects either overlap or intersect with each other within a pixel. In order to minimize such errors, we introduce an extra buffer, called the RuF(Recently used Fragment)-buffer, for storing the footprint of a fragment most recently used in the color manipulation. In our experiments, the proposed system can produce high quality images as good as supersampling with a smaller amount of memory size and memory bandwidth, compared with the conventional supersampling.

Original languageEnglish
Pages (from-to)271-281
Number of pages11
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3189
Publication statusPublished - 2004 Dec 1

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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