Background-based objective measure for predicting subjective visual quality of distorted image

Chin Ann Yang; Jar Ferr Yang; Pau Choo Chung

doi:10.1109/TENCON.2006.344071

Background-based objective measure for predicting subjective visual quality of distorted image

Chin Ann Yang, Jar Ferr Yang, Pau Choo Chung

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

Abstract

This paper proposes a new image objective quality measure, which is based on background activities. The proposed background-based quality measure is base on singular value decomposition (SVD) of block and background images. The proposed objective quality measure with weighted background activities and singular vectors error between the corresponding original and the distorted image blocks exhibits a better subjective visual quality prediction. Experiments results also show that the proposed background-based SVD image quality measure truly provides a better correlation with the human eyes perception than the existing measures.

Original language	English
Title of host publication	2006 IEEE Region 10 Conference, TENCON 2006
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	1424405491, 9781424405497
DOIs	https://doi.org/10.1109/TENCON.2006.344071
Publication status	Published - 2006 Jan 1
Event	2006 IEEE Region 10 Conference, TENCON 2006 - Hong Kong, China Duration: 2006 Nov 14 → 2006 Nov 17

Publication series

Name	IEEE Region 10 Annual International Conference, Proceedings/TENCON
ISSN (Print)	2159-3442
ISSN (Electronic)	2159-3450

Other

Other	2006 IEEE Region 10 Conference, TENCON 2006
Country	China
City	Hong Kong
Period	06-11-14 → 06-11-17

All Science Journal Classification (ASJC) codes

Computer Science Applications
Electrical and Electronic Engineering

Access to Document

10.1109/TENCON.2006.344071

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Yang, C. A., Yang, J. F., & Chung, P. C. (2006). Background-based objective measure for predicting subjective visual quality of distorted image. In 2006 IEEE Region 10 Conference, TENCON 2006 [4142338] (IEEE Region 10 Annual International Conference, Proceedings/TENCON). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TENCON.2006.344071

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title = "Background-based objective measure for predicting subjective visual quality of distorted image",

abstract = "This paper proposes a new image objective quality measure, which is based on background activities. The proposed background-based quality measure is base on singular value decomposition (SVD) of block and background images. The proposed objective quality measure with weighted background activities and singular vectors error between the corresponding original and the distorted image blocks exhibits a better subjective visual quality prediction. Experiments results also show that the proposed background-based SVD image quality measure truly provides a better correlation with the human eyes perception than the existing measures.",

author = "Yang, {Chin Ann} and Yang, {Jar Ferr} and Chung, {Pau Choo}",

year = "2006",

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Yang, CA, Yang, JF & Chung, PC 2006, Background-based objective measure for predicting subjective visual quality of distorted image. in 2006 IEEE Region 10 Conference, TENCON 2006., 4142338, IEEE Region 10 Annual International Conference, Proceedings/TENCON, Institute of Electrical and Electronics Engineers Inc., 2006 IEEE Region 10 Conference, TENCON 2006, Hong Kong, China, 06-11-14. https://doi.org/10.1109/TENCON.2006.344071

Background-based objective measure for predicting subjective visual quality of distorted image. / Yang, Chin Ann; Yang, Jar Ferr ; Chung, Pau Choo.

2006 IEEE Region 10 Conference, TENCON 2006. Institute of Electrical and Electronics Engineers Inc., 2006. 4142338 (IEEE Region 10 Annual International Conference, Proceedings/TENCON).

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

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AB - This paper proposes a new image objective quality measure, which is based on background activities. The proposed background-based quality measure is base on singular value decomposition (SVD) of block and background images. The proposed objective quality measure with weighted background activities and singular vectors error between the corresponding original and the distorted image blocks exhibits a better subjective visual quality prediction. Experiments results also show that the proposed background-based SVD image quality measure truly provides a better correlation with the human eyes perception than the existing measures.

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