Edge anti-aliasing algorithms based on morphological operators

Matt Lazarowitz; Aldo Morales

doi:10.1109/icce.2005.1429809

Edge anti-aliasing algorithms based on morphological operators

Matt Lazarowitz, Aldo Morales

School of Science, Engineering & Technology (Harrisburg)

Research output: Contribution to journal › Conference article › peer-review

Abstract

In this paper, 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".

Original language	English (US)
Article number	6.4-6
Pages (from-to)	245-246
Number of pages	2
Journal	Digest of Technical Papers - IEEE International Conference on Consumer Electronics
DOIs	https://doi.org/10.1109/icce.2005.1429809
State	Published - 2005
Event	2005 Digest of Technical Papers - International Conference on Consumer Electronics, ICCE 2005 - Las Vegas, NV, United States Duration: Jan 8 2005 → Jan 12 2005

All Science Journal Classification (ASJC) codes

Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

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10.1109/icce.2005.1429809

Cite this

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title = "Edge anti-aliasing algorithms based on morphological operators",

abstract = "In this paper, 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{"}.",

author = "Matt Lazarowitz and Aldo Morales",

year = "2005",

doi = "10.1109/icce.2005.1429809",

language = "English (US)",

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journal = "Digest of Technical Papers - IEEE International Conference on Consumer Electronics",

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AB - In this paper, 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".

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DO - 10.1109/icce.2005.1429809

M3 - Conference article

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JO - Digest of Technical Papers - IEEE International Conference on Consumer Electronics

JF - Digest of Technical Papers - IEEE International Conference on Consumer Electronics

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Y2 - 8 January 2005 through 12 January 2005

ER -

Edge anti-aliasing algorithms based on morphological operators

Abstract

All Science Journal Classification (ASJC) codes

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