Efficient Edge Function Based Anisotropic Texture Filtering(Computer Graphics)

スポンサーリンク

概要

• 論文の詳細を見る

• 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.

• 社団法人電子情報通信学会の論文
• 2004-04-01

著者

• Kim Lee-sup

  Department Of Electrical Engineering And Computer Science Korea Advanced Institute Of Science And Te

• Kim Lee-sup

  Department Of Eecs Kaist

• Lee Jin-aeon

  Samsung Electronics Co. Republic Of Korea

• SHIN Hyun-Chul

  Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and T

• Shin Hyun-chul

  Department Of Electrical Engineering And Computer Science Korea Advanced Institute Of Science And Te

関連論文

• Binary Motion Estimation with Hybrid Distortion Measure(Image Processing and Video Processing)
• An Efficient Fragment Processing Technique in A-Buffer Implementation
• Adaptive Tessellation of PN Triangles Using Minimum-Artifact Edge Linking(Computer Graphics)
• Efficient Edge Function Based Anisotropic Texture Filtering(Computer Graphics)
• An Efficient Fragment Processing Technique in A-Buffer Implementation (Computer Graphics)

スポンサーリンク