Edge-based structural similarity for image quality assessment

Guan-Hao Chen; Chun-Ling Yang; Lai-Man Po; Sheng-Li Xie

doi:10.1109/ICASSP.2006.1660497

Edge-based structural similarity for image quality assessment

Guan-Hao Chen
, Chun-Ling Yang
, Lai-Man Po
, Sheng-Li Xie

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

146 Citations (Scopus)

Abstract

Objective quality assessment has been widely used in image processing for decades and many researchers have been studying the objective quality assessment method based on Human Visual System (HVS). Recently the Structural Similarity (SSIM) is proposed, under the assumption that the HVS is highly adapted for extracting structural information from a scene, and simulation results have proved that it is better than PSNR (or MSE). By deeply studying the SSIM, we find it fails in measuring the badly blurred images. Based on this, we develop an improved method which is called Edge-based Structural Similarity (ESSIM). Experiment results show that ESSIM is more consistent with HVS than SSIM and PSNR especially for the blurred images. © 2006 IEEE.

Original language	English
Title of host publication	2006 IEEE International Conference on Acoustics, Speech and Signal Processing
Subtitle of host publication	Proceedings
Publisher	IEEE
Pages	II933-II936
Volume	2
ISBN (Electronic)	9781424404698
ISBN (Print)	1-4244-0469-X
DOIs	https://doi.org/10.1109/ICASSP.2006.1660497
Publication status	Published - 2006
Event	2006 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006) - Toulouse, France Duration: 14 May 2006 → 19 May 2006

Publication series

Name
ISSN (Print)	1520-6149
ISSN (Electronic)	2379-190X

Conference

Conference	2006 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006)
Place	France
City	Toulouse
Period	14/05/06 → 19/05/06

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@inproceedings{b9923a72c777402cb1c85659d170c1b3,

title = "Edge-based structural similarity for image quality assessment",

abstract = "Objective quality assessment has been widely used in image processing for decades and many researchers have been studying the objective quality assessment method based on Human Visual System (HVS). Recently the Structural Similarity (SSIM) is proposed, under the assumption that the HVS is highly adapted for extracting structural information from a scene, and simulation results have proved that it is better than PSNR (or MSE). By deeply studying the SSIM, we find it fails in measuring the badly blurred images. Based on this, we develop an improved method which is called Edge-based Structural Similarity (ESSIM). Experiment results show that ESSIM is more consistent with HVS than SSIM and PSNR especially for the blurred images. {\textcopyright} 2006 IEEE.",

author = "Guan-Hao Chen and Chun-Ling Yang and Lai-Man Po and Sheng-Li Xie",

year = "2006",

doi = "10.1109/ICASSP.2006.1660497",

language = "English",

isbn = "1-4244-0469-X",

volume = "2",

publisher = "IEEE",

pages = "II933--II936",

booktitle = "2006 IEEE International Conference on Acoustics, Speech and Signal Processing",

address = "United States",

note = "2006 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006) ; Conference date: 14-05-2006 Through 19-05-2006",

}

Chen, G-H, Yang, C-L, Po, L-M & Xie, S-L 2006, Edge-based structural similarity for image quality assessment. in 2006 IEEE International Conference on Acoustics, Speech and Signal Processing: Proceedings. vol. 2, IEEE, pp. II933-II936, 2006 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), Toulouse, France, 14/05/06. https://doi.org/10.1109/ICASSP.2006.1660497

Edge-based structural similarity for image quality assessment. / Chen, Guan-Hao; Yang, Chun-Ling; Po, Lai-Man et al.
2006 IEEE International Conference on Acoustics, Speech and Signal Processing: Proceedings. Vol. 2 IEEE, 2006. p. II933-II936.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Edge-based structural similarity for image quality assessment

AU - Chen, Guan-Hao

AU - Yang, Chun-Ling

AU - Po, Lai-Man

AU - Xie, Sheng-Li

PY - 2006

Y1 - 2006

N2 - Objective quality assessment has been widely used in image processing for decades and many researchers have been studying the objective quality assessment method based on Human Visual System (HVS). Recently the Structural Similarity (SSIM) is proposed, under the assumption that the HVS is highly adapted for extracting structural information from a scene, and simulation results have proved that it is better than PSNR (or MSE). By deeply studying the SSIM, we find it fails in measuring the badly blurred images. Based on this, we develop an improved method which is called Edge-based Structural Similarity (ESSIM). Experiment results show that ESSIM is more consistent with HVS than SSIM and PSNR especially for the blurred images. © 2006 IEEE.

AB - Objective quality assessment has been widely used in image processing for decades and many researchers have been studying the objective quality assessment method based on Human Visual System (HVS). Recently the Structural Similarity (SSIM) is proposed, under the assumption that the HVS is highly adapted for extracting structural information from a scene, and simulation results have proved that it is better than PSNR (or MSE). By deeply studying the SSIM, we find it fails in measuring the badly blurred images. Based on this, we develop an improved method which is called Edge-based Structural Similarity (ESSIM). Experiment results show that ESSIM is more consistent with HVS than SSIM and PSNR especially for the blurred images. © 2006 IEEE.

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DO - 10.1109/ICASSP.2006.1660497

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 1-4244-0469-X

VL - 2

SP - II933-II936

BT - 2006 IEEE International Conference on Acoustics, Speech and Signal Processing

PB - IEEE

T2 - 2006 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006)

Y2 - 14 May 2006 through 19 May 2006

ER -

Edge-based structural similarity for image quality assessment

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