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 |
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| Title of host publication | 2006 IEEE Region 10 Conference, TENCON 2006 |
| DOIs | |
| Publication status | Published - 2007 Aug 8 |
| 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 |
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Other
| Other | 2006 IEEE Region 10 Conference, TENCON 2006 |
|---|---|
| Country | China |
| City | Hong Kong |
| Period | 06-11-14 → 06-11-17 |
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All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Electrical and Electronic Engineering
Cite this
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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. 2007. 4142338 (IEEE Region 10 Annual International Conference, Proceedings/TENCON).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Background-based objective measure for predicting subjective visual quality of distorted image
AU - Yang, Chin Ann
AU - Yang, Jar-Ferr
AU - Chung, Pau-Choo
PY - 2007/8/8
Y1 - 2007/8/8
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=34547566736&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34547566736&partnerID=8YFLogxK
U2 - 10.1109/TENCON.2006.344071
DO - 10.1109/TENCON.2006.344071
M3 - Conference contribution
SN - 1424405491
SN - 9781424405497
T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON
BT - 2006 IEEE Region 10 Conference, TENCON 2006
ER -