Reconstruction filters in computer-graphics

• Don P. Mitchell

  AT&T Bell Laboratories, Murray Hill, New Jersey

• Arun N. Netravali

  AT&T Bell Laboratories, Murray Hill, New Jersey

抄録

Problems of signal processing arise in image synthesis because of transformations between continuous and discrete representations of 2D images. Aliasing introduced by sampling has received much attention in graphics, but reconstruction of samples into a continuous representation can also cause aliasing as well as other defects in image quality. The problem of designing a filter for use on images is discussed, and a new family of piecewise cubic filters are investigated as a practical demonstration. Two interesting cubic filters are found, one having good antialiasing properties and the other having good image-quality properties. It is also shown that reconstruction using derivative as well as amplitude values can greatly reduce aliasing.

収録刊行物

• ACM SIGGRAPH Computer Graphics

  ACM SIGGRAPH Computer Graphics 22 (4), 221-228, 1988-06

  Association for Computing Machinery (ACM)

キーワード

• Computer Graphics and Computer-Aided Design
• General Computer Science

詳細情報

• CRID: 1361137043671230208
• NII論文ID: 80004240905
• DOI: 10.1145/378456.378514
• ISSN: 00978930
• Web Site: https://dl.acm.org/doi/pdf/10.1145/378456.378514
• データソース種別:
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  • CiNii Articles