Thinning based Antialiasing Approach for Visual Saliency of Digital Images

O. Rukundo

doi:10.5220/0005356206580665

Thinning based Antialiasing Approach for Visual Saliency of Digital Images

O. Rukundo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

2 Citations (Scopus)

Abstract

A thinning based approach for spatial antialiasing (TAA) has been proposed for visual saliency of digital images. This TAA approach is based on edge-matting and digital compositing strategies. Prior to edgematting the image edges are detected using ant colony optimization (ACO) algorithm and then thinned using a fast parallel algorithm. After the edge-matting, a composite image is created between the edge-matted and non-antialiasing image. Motivations for adopting the ACO and fast parallel algorithm in lieu of others found in the literature are also extensively addressed in this paper. Preliminary TAA experimental outcomes are more promising but with debatable smoothness to some extent of the original size of the images in comparison.

Original language	English
Title of host publication	International Conference on Computer Vision Theory and Applications (VISAPP 2015)
Publisher	SciTe Press
Pages	658-665
Number of pages	8
ISBN (Electronic)	9789897580895
DOIs	https://doi.org/10.5220/0005356206580665
Publication status	Published - 26 Mar 2015

Keywords

Antialiasing
ACO
Edge Detection
Thinning
Edge-matting
Compositing
Near-realism

Access to Document

10.5220/0005356206580665

http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0005356206580665

Cite this

@inproceedings{393cbcfaa2114fdda39546bc14b5ebab,

title = "Thinning based Antialiasing Approach for Visual Saliency of Digital Images",

abstract = "A thinning based approach for spatial antialiasing (TAA) has been proposed for visual saliency of digital images. This TAA approach is based on edge-matting and digital compositing strategies. Prior to edgematting the image edges are detected using ant colony optimization (ACO) algorithm and then thinned using a fast parallel algorithm. After the edge-matting, a composite image is created between the edge-matted and non-antialiasing image. Motivations for adopting the ACO and fast parallel algorithm in lieu of others found in the literature are also extensively addressed in this paper. Preliminary TAA experimental outcomes are more promising but with debatable smoothness to some extent of the original size of the images in comparison.",

keywords = "Antialiasing, ACO, Edge Detection, Thinning, Edge-matting, Compositing, Near-realism",

author = "O. Rukundo",

year = "2015",

month = mar,

day = "26",

doi = "10.5220/0005356206580665",

language = "English",

pages = "658--665",

booktitle = "International Conference on Computer Vision Theory and Applications (VISAPP 2015)",

publisher = "SciTe Press",

}

TY - GEN

T1 - Thinning based Antialiasing Approach for Visual Saliency of Digital Images

AU - Rukundo, O.

PY - 2015/3/26

Y1 - 2015/3/26

N2 - A thinning based approach for spatial antialiasing (TAA) has been proposed for visual saliency of digital images. This TAA approach is based on edge-matting and digital compositing strategies. Prior to edgematting the image edges are detected using ant colony optimization (ACO) algorithm and then thinned using a fast parallel algorithm. After the edge-matting, a composite image is created between the edge-matted and non-antialiasing image. Motivations for adopting the ACO and fast parallel algorithm in lieu of others found in the literature are also extensively addressed in this paper. Preliminary TAA experimental outcomes are more promising but with debatable smoothness to some extent of the original size of the images in comparison.

AB - A thinning based approach for spatial antialiasing (TAA) has been proposed for visual saliency of digital images. This TAA approach is based on edge-matting and digital compositing strategies. Prior to edgematting the image edges are detected using ant colony optimization (ACO) algorithm and then thinned using a fast parallel algorithm. After the edge-matting, a composite image is created between the edge-matted and non-antialiasing image. Motivations for adopting the ACO and fast parallel algorithm in lieu of others found in the literature are also extensively addressed in this paper. Preliminary TAA experimental outcomes are more promising but with debatable smoothness to some extent of the original size of the images in comparison.

KW - Antialiasing

KW - ACO

KW - Edge Detection

KW - Thinning

KW - Edge-matting

KW - Compositing

KW - Near-realism

U2 - 10.5220/0005356206580665

DO - 10.5220/0005356206580665

M3 - Conference contribution

SP - 658

EP - 665

BT - International Conference on Computer Vision Theory and Applications (VISAPP 2015)

PB - SciTe Press

ER -

Thinning based Antialiasing Approach for Visual Saliency of Digital Images

Abstract

Keywords

Access to Document

Fingerprint

Cite this