Quality assessment based on noise influencing force

Juan Du; Sheng Li Xie; Ying Lin Yu

doi:10.1109/ICIP.2005.1530433

Quality assessment based on noise influencing force

Juan Du^*, Sheng Li Xie, Ying Lin Yu

^*Corresponding author for this work

South China University of Technology

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

2 Citations (Scopus)

Abstract

This article introduces a new image quality assessment: QNIF (Quality assessment based on Noise Influencing Force). Considering uneven property of noise distribution, we put forward the concept of noise influencing significance area. Analyzing noise in significance area coverage is to identify the property that noise destructiveness on image structure can approach to Human Visual System. In addition, in view of human eyes' physiological characteristics of gaze and fast jump, QNIF also includes noise area influencing image quality. Test result shows that QNIF performance is evidently superior to traditional MSE because it can effectively estimate different types of quality reduction.

Original language	English
Title of host publication	IEEE International Conference on Image Processing 2005, ICIP 2005
Pages	481-484
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2005.1530433
Publication status	Published - 2005
Externally published	Yes
Event	IEEE International Conference on Image Processing 2005, ICIP 2005 - Genova, Italy Duration: 11 Sept 2005 → 14 Sept 2005

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
Volume	3
ISSN (Print)	1522-4880

Conference

Conference	IEEE International Conference on Image Processing 2005, ICIP 2005
Country/Territory	Italy
City	Genova
Period	11/09/05 → 14/09/05

Access to Document

10.1109/ICIP.2005.1530433

Cite this

Du, J., Xie, S. L., & Yu, Y. L. (2005). Quality assessment based on noise influencing force. In IEEE International Conference on Image Processing 2005, ICIP 2005 (pp. 481-484). Article 1530433 (Proceedings - International Conference on Image Processing, ICIP; Vol. 3). https://doi.org/10.1109/ICIP.2005.1530433

@inproceedings{3f9366277deb45de86440eb6cf086bab,

title = "Quality assessment based on noise influencing force",

abstract = "This article introduces a new image quality assessment: QNIF (Quality assessment based on Noise Influencing Force). Considering uneven property of noise distribution, we put forward the concept of noise influencing significance area. Analyzing noise in significance area coverage is to identify the property that noise destructiveness on image structure can approach to Human Visual System. In addition, in view of human eyes' physiological characteristics of gaze and fast jump, QNIF also includes noise area influencing image quality. Test result shows that QNIF performance is evidently superior to traditional MSE because it can effectively estimate different types of quality reduction.",

author = "Juan Du and Xie, {Sheng Li} and Yu, {Ying Lin}",

year = "2005",

doi = "10.1109/ICIP.2005.1530433",

language = "English",

isbn = "0780391349",

series = "Proceedings - International Conference on Image Processing, ICIP",

pages = "481--484",

booktitle = "IEEE International Conference on Image Processing 2005, ICIP 2005",

note = "IEEE International Conference on Image Processing 2005, ICIP 2005 ; Conference date: 11-09-2005 Through 14-09-2005",

}

Du, J, Xie, SL & Yu, YL 2005, Quality assessment based on noise influencing force. in IEEE International Conference on Image Processing 2005, ICIP 2005., 1530433, Proceedings - International Conference on Image Processing, ICIP, vol. 3, pp. 481-484, IEEE International Conference on Image Processing 2005, ICIP 2005, Genova, Italy, 11/09/05. https://doi.org/10.1109/ICIP.2005.1530433

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AU - Xie, Sheng Li

AU - Yu, Ying Lin

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N2 - This article introduces a new image quality assessment: QNIF (Quality assessment based on Noise Influencing Force). Considering uneven property of noise distribution, we put forward the concept of noise influencing significance area. Analyzing noise in significance area coverage is to identify the property that noise destructiveness on image structure can approach to Human Visual System. In addition, in view of human eyes' physiological characteristics of gaze and fast jump, QNIF also includes noise area influencing image quality. Test result shows that QNIF performance is evidently superior to traditional MSE because it can effectively estimate different types of quality reduction.

AB - This article introduces a new image quality assessment: QNIF (Quality assessment based on Noise Influencing Force). Considering uneven property of noise distribution, we put forward the concept of noise influencing significance area. Analyzing noise in significance area coverage is to identify the property that noise destructiveness on image structure can approach to Human Visual System. In addition, in view of human eyes' physiological characteristics of gaze and fast jump, QNIF also includes noise area influencing image quality. Test result shows that QNIF performance is evidently superior to traditional MSE because it can effectively estimate different types of quality reduction.

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U2 - 10.1109/ICIP.2005.1530433

DO - 10.1109/ICIP.2005.1530433

M3 - Conference contribution

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SN - 0780391349

SN - 9780780391345

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BT - IEEE International Conference on Image Processing 2005, ICIP 2005

T2 - IEEE International Conference on Image Processing 2005, ICIP 2005

Y2 - 11 September 2005 through 14 September 2005

ER -

Quality assessment based on noise influencing force

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