A reduced-reference perceptual quality metric for texture synthesis

Srenivas Varadarajan; Lina Karam

doi:10.1109/ICIP.2014.7025106

A reduced-reference perceptual quality metric for texture synthesis

Srenivas Varadarajan, Lina Karam

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Scopus citations

Abstract

This paper presents a reduced-reference quality metric that quantifies the perceptual quality of the synthesized textures. The metric is based on the change in perceived regularity between the original and the synthesized textures. The perceived regularity is quantified through a modified texture regularity metric based on visual attention. It is shown through subjective testing that the proposed metric has a strong correlation with the Mean Opinion Score for the fidelity of synthesized textures and outperforms the state-of-the-art full-reference quality metrics.

Original language	English (US)
Title of host publication	2014 IEEE International Conference on Image Processing, ICIP 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	531-535
Number of pages	5
ISBN (Electronic)	9781479957514
DOIs	https://doi.org/10.1109/ICIP.2014.7025106
State	Published - Jan 28 2014

Keywords

Image Quality Assessment
Randomness
Texture Analysis
Visual Attention

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

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10.1109/ICIP.2014.7025106

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title = "A reduced-reference perceptual quality metric for texture synthesis",

abstract = "This paper presents a reduced-reference quality metric that quantifies the perceptual quality of the synthesized textures. The metric is based on the change in perceived regularity between the original and the synthesized textures. The perceived regularity is quantified through a modified texture regularity metric based on visual attention. It is shown through subjective testing that the proposed metric has a strong correlation with the Mean Opinion Score for the fidelity of synthesized textures and outperforms the state-of-the-art full-reference quality metrics.",

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AB - This paper presents a reduced-reference quality metric that quantifies the perceptual quality of the synthesized textures. The metric is based on the change in perceived regularity between the original and the synthesized textures. The perceived regularity is quantified through a modified texture regularity metric based on visual attention. It is shown through subjective testing that the proposed metric has a strong correlation with the Mean Opinion Score for the fidelity of synthesized textures and outperforms the state-of-the-art full-reference quality metrics.

KW - Image Quality Assessment

KW - Randomness

KW - Texture Analysis

KW - Visual Attention

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M3 - Conference contribution

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EP - 535

BT - 2014 IEEE International Conference on Image Processing, ICIP 2014

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

A reduced-reference perceptual quality metric for texture synthesis

Abstract

Keywords

ASJC Scopus subject areas

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