TY - GEN
T1 - Discrete wavelet transform-based structural similarity for image quality assessment
AU - Yang, Chun-Ling
AU - Gao, Wen-Rui
AU - Po, Lai-Man
PY - 2008
Y1 - 2008
N2 - Image quality assessment method plays a major role in image processing. Structural similarity (SSIM) is a novel image quality assessment method, and attracts a lot of attentions for its good performance and simple calculation. But it is proposed in pixel domain, a large computation load is introduced when using it to guide image processing algorithm in discrete wavelet transform (DWT) domain. And image processing in DWT domain has been very common. This paper proposes a discrete wavelet transform-based structural similarity (DWT-SSIM) method for image quality assessment. As it highlights human eyes' sensitive frequency bands, the proposed measure has a better correlation with the judgment of human observers than SSIM. Furthermore, the method is easy to implement and embed in DWT domain processing algorithms. © 2008 IEEE.
AB - Image quality assessment method plays a major role in image processing. Structural similarity (SSIM) is a novel image quality assessment method, and attracts a lot of attentions for its good performance and simple calculation. But it is proposed in pixel domain, a large computation load is introduced when using it to guide image processing algorithm in discrete wavelet transform (DWT) domain. And image processing in DWT domain has been very common. This paper proposes a discrete wavelet transform-based structural similarity (DWT-SSIM) method for image quality assessment. As it highlights human eyes' sensitive frequency bands, the proposed measure has a better correlation with the judgment of human observers than SSIM. Furthermore, the method is easy to implement and embed in DWT domain processing algorithms. © 2008 IEEE.
KW - Human visual system (HVS)
KW - Image processing
KW - Image quality assessment
UR - http://www.scopus.com/inward/record.url?scp=69949159789&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-69949159789&origin=recordpage
U2 - 10.1109/ICIP.2008.4711770
DO - 10.1109/ICIP.2008.4711770
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 1424417643
SN - 9781424417643
SP - 377
EP - 380
BT - Proceedings - International Conference on Image Processing, ICIP
T2 - 2008 IEEE International Conference on Image Processing, ICIP 2008
Y2 - 12 October 2008 through 15 October 2008
ER -