Title :
Edge anti-aliasing algorithms based on morphological operators
Author :
Lazarowitz, Matt ; Morales, Aldo
Author_Institution :
Electr. Eng. Program, Penn State Univ. at Harrisburg, Middletown, PA, USA
Abstract :
In this work, four new efficient anti-aliasing algorithms are presented. Instead of operating in the entire image, these algorithms find the edge maps by using morphological edge detectors and then apply averaging filters only on the regions as indicated by these edge maps. The algorithms show a significant reduction of the aliasing artifacts, commonly known as "jaggies".
Keywords :
antialiasing; digital filters; edge detection; mathematical morphology; mathematical operators; averaging filters; edge anti-aliasing algorithms; edge maps; jaggies; morphological edge detectors; morphological operators; Computer graphics; Consumer electronics; Detectors; Digital cameras; Filters; Image converters; Image edge detection; Mathematical model; Morphological operations; Rendering (computer graphics);
Conference_Titel :
Consumer Electronics, 2005. ICCE. 2005 Digest of Technical Papers. International Conference on
Print_ISBN :
0-7803-8838-0
DOI :
10.1109/ICCE.2005.1429809