Considering binocular spatial sensitivity in stereoscopic image quality assessment

Xu WANG; Sam KWONG; Yun ZHANG

doi:10.1109/VCIP.2011.6116015

Considering binocular spatial sensitivity in stereoscopic image quality assessment

Xu WANG, Sam KWONG, Yun ZHANG

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

53 Citations (Scopus)

Abstract

Developing reliable and generic perceptual quality metrics is an challenging issue in three-dimensional (3D) visual signals processing, although many two dimensional (2D) image quality metrics have been proposed and work well on 2D images. In this paper, the binocular spatial sensitivity influenced by the binocular fusion and rivalry properties is considered in the quality measurement. Firstly, the binocular spatial sensitivity map is modeled to reflect the properties. Then, a framework of integration of binocular spatial sensitivity map into quality assessment is presented. Experimental results show that the proposed metric correlate well with human perception of quality on a dataset of 3D images and human subjective scores. © 2011 IEEE.

Original language	English
Title of host publication	2011 IEEE Visual Communications and Image Processing, VCIP 2011
Publisher	IEEE
Number of pages	4
ISBN (Electronic)	9781457713224
ISBN (Print)	9781457713217
DOIs	https://doi.org/10.1109/VCIP.2011.6116015
Publication status	Published - 2011
Externally published	Yes
Event	2011 IEEE Visual Communications and Image Processing - , Taiwan, Province of China Duration: 6 Nov 2011 → 9 Nov 2011

Conference

Conference	2011 IEEE Visual Communications and Image Processing
Abbreviated title	VCIP 2011
Country/Territory	Taiwan, Province of China
Period	6/11/11 → 9/11/11

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10.1109/VCIP.2011.6116015

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title = "Considering binocular spatial sensitivity in stereoscopic image quality assessment",

abstract = "Developing reliable and generic perceptual quality metrics is an challenging issue in three-dimensional (3D) visual signals processing, although many two dimensional (2D) image quality metrics have been proposed and work well on 2D images. In this paper, the binocular spatial sensitivity influenced by the binocular fusion and rivalry properties is considered in the quality measurement. Firstly, the binocular spatial sensitivity map is modeled to reflect the properties. Then, a framework of integration of binocular spatial sensitivity map into quality assessment is presented. Experimental results show that the proposed metric correlate well with human perception of quality on a dataset of 3D images and human subjective scores. {\textcopyright} 2011 IEEE.",

author = "Xu WANG and Sam KWONG and Yun ZHANG",

year = "2011",

doi = "10.1109/VCIP.2011.6116015",

language = "English",

isbn = "9781457713217",

booktitle = "2011 IEEE Visual Communications and Image Processing, VCIP 2011",

publisher = "IEEE",

note = "2011 IEEE Visual Communications and Image Processing, VCIP 2011 ; Conference date: 06-11-2011 Through 09-11-2011",

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AU - WANG, Xu

AU - KWONG, Sam

AU - ZHANG, Yun

PY - 2011

Y1 - 2011

N2 - Developing reliable and generic perceptual quality metrics is an challenging issue in three-dimensional (3D) visual signals processing, although many two dimensional (2D) image quality metrics have been proposed and work well on 2D images. In this paper, the binocular spatial sensitivity influenced by the binocular fusion and rivalry properties is considered in the quality measurement. Firstly, the binocular spatial sensitivity map is modeled to reflect the properties. Then, a framework of integration of binocular spatial sensitivity map into quality assessment is presented. Experimental results show that the proposed metric correlate well with human perception of quality on a dataset of 3D images and human subjective scores. © 2011 IEEE.

AB - Developing reliable and generic perceptual quality metrics is an challenging issue in three-dimensional (3D) visual signals processing, although many two dimensional (2D) image quality metrics have been proposed and work well on 2D images. In this paper, the binocular spatial sensitivity influenced by the binocular fusion and rivalry properties is considered in the quality measurement. Firstly, the binocular spatial sensitivity map is modeled to reflect the properties. Then, a framework of integration of binocular spatial sensitivity map into quality assessment is presented. Experimental results show that the proposed metric correlate well with human perception of quality on a dataset of 3D images and human subjective scores. © 2011 IEEE.

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DO - 10.1109/VCIP.2011.6116015

M3 - Conference paper (refereed)

SN - 9781457713217

BT - 2011 IEEE Visual Communications and Image Processing, VCIP 2011

PB - IEEE

T2 - 2011 IEEE Visual Communications and Image Processing

Y2 - 6 November 2011 through 9 November 2011

ER -

Considering binocular spatial sensitivity in stereoscopic image quality assessment

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