Antialiasing aliased images

Rynson W.H. Lau

doi:10.1117/12.235590

22 March 1996 Antialiasing aliased images

Rynson W.H. Lau

Proceedings Volume 2644, Fourth International Conference on Computer-Aided Design and Computer Graphics; (1996) https://doi.org/10.1117/12.235590
Event: Fourth International Conference on Computer-Aided Design and Computer Graphics, 1995, Wuhan, China

Abstract

Existing anti-aliasing methods are mostly applied during the image generation process. The limitations of these methods are that they require a lot of processing time and/or large memory space. Bloomenthal suggested a post-filtering method based on line fitting. In this paper, we describe a similar post-filtering method but is based on curve fitting. The advantage of the new method over Bloomenthal's method are that the shapes of the filtered objects do not change according to which pixels being selected as a first pixels for fitting and that curves fitting is considered more appropriate for object contours than line fitting. To improve efficiency, we identify all possible curves that may appear in a fitting operation in advance and store the information in a lookup table. Fitting a curve to a sequence of pixels becomes a simple table lookup operation.

Citation Download Citation

Rynson W.H. Lau "Antialiasing aliased images", Proc. SPIE 2644, Fourth International Conference on Computer-Aided Design and Computer Graphics, (22 March 1996); https://doi.org/10.1117/12.235590

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