TY - GEN
T1 - A joint image quality assessment method based on global phase coherence and structural similarity
AU - Wang, Dan
AU - Ding, Wenrui
AU - Man, Yiyun
AU - Cui, Le
PY - 2010
Y1 - 2010
N2 - Structural similarity (SSIM) is one image quality assessment metric that focuses on the statistic information in the spatial domain. It cannot reflect the small details of the contrast and the changing of texture, which can be perceived by human visual system, because SSIM cannot detect the distortion image with aliasing and blur effectively. This paper proposes a new image quality assessment metric called structural similarity based on global phase coherence (GPC-SSIM), which considers both the structural information in the spatial domain and the phase characteristics in the frequency domain. Through experiments, as the level of blur and aliasing of an image gets more and more serious, the dynamic range of the results obtained through SSIM is 0.6-1, while the ones through the new assessment index GPC-SSIM is 0-1. Thus GPC-SSIM is more sensitive to the blur and aliasing of image and can give more accurate assessment results for various kinds of degraded images than SSIM.
AB - Structural similarity (SSIM) is one image quality assessment metric that focuses on the statistic information in the spatial domain. It cannot reflect the small details of the contrast and the changing of texture, which can be perceived by human visual system, because SSIM cannot detect the distortion image with aliasing and blur effectively. This paper proposes a new image quality assessment metric called structural similarity based on global phase coherence (GPC-SSIM), which considers both the structural information in the spatial domain and the phase characteristics in the frequency domain. Through experiments, as the level of blur and aliasing of an image gets more and more serious, the dynamic range of the results obtained through SSIM is 0.6-1, while the ones through the new assessment index GPC-SSIM is 0-1. Thus GPC-SSIM is more sensitive to the blur and aliasing of image and can give more accurate assessment results for various kinds of degraded images than SSIM.
KW - Global phase coherence (GPC)
KW - Image quality assessment
KW - Phase information
KW - Structural similarity (SSIM)
UR - https://www.scopus.com/pages/publications/78650584056
U2 - 10.1109/CISP.2010.5647786
DO - 10.1109/CISP.2010.5647786
M3 - 会议稿件
AN - SCOPUS:78650584056
SN - 9781424465149
T3 - Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010
SP - 2307
EP - 2311
BT - Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010
T2 - 2010 3rd International Congress on Image and Signal Processing, CISP 2010
Y2 - 16 October 2010 through 18 October 2010
ER -