Efficient Edge Function Based Anisotropic Texture Filtering

• SHIN Hyun-Chul

  Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology (KAIST)

• LEE Jin-Aeon

  Samsung Electronics Co.

• KIM Lee-Sup

  Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology (KAIST)

抄録

In texture mapping, anisotropic filtering methods, which require more texels, have been proposed for high-quality images. Memory bandwidth, however, is still limited by a bottleneck in the texture-filtering hardware. In this paper, we propose anisotropic texture filtering based on edge function. In generating the weight that plays a key role in filtering texels loaded from memory, the edge function gives accurate contribution of texels to the pixel intensity. The quality of images is superior to other methods. For images of the same quality, our method requires less than half the texels of other methods. In other words, the improvement in performance is more than twice that of other methods.

収録刊行物

• IEICE transactions on fundamentals of electronics, communications and computer sciences

  IEICE transactions on fundamentals of electronics, communications and computer sciences 87 (4), 964-970, 2004-04-01

  一般社団法人電子情報通信学会

キーワード

• 3D graphics
• texture mapping
• anisotropic filtering
• antialiasing
• performance

詳細情報

• CRID: 1571698602418322944
• NII論文ID: 110003212990
• NII書誌ID: AA10826239
• ISSN: 09168508
• 本文言語コード: en
• データソース種別:
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