TY - JOUR
T1 - Human visual system consistent quality assessment for remote sensing image fusion
AU - Liu, Jun
AU - Huang, Junyi
AU - Liu, Shuguang
AU - Li, Huali
AU - Zhou, Qiming
AU - Liu, Junchen
N1 - Funding Information:
This work is jointly supported by the International Science and Technology Collaboration Project of China (2010DFA92720-24), the National Natural Science Foundation program (Nos. 41301403 and 41471340) and Chongqing Basic and Advanced Research General Project (No. cstc2013jcyjA40010), Hunan Provincial Natural Science Foundation of China (No. S2013J504B), the Research Grants Council (RGC) of Hong Kong General Research Fund (GRF) (Project No. 203913), and Hong Kong Baptist University Faculty
Publisher copyright:
Copyright © 2014 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.
PY - 2015/7
Y1 - 2015/7
N2 - Quality assessment for image fusion is essential for remote sensing application. Generally used indices require a high spatial resolution multispectral (MS) image for reference, which is not always readily available. Meanwhile, the fusion quality assessments using these indices may not be consistent with the Human Visual System (HVS). As an attempt to overcome this requirement and inconsistency, this paper proposes an HVS-consistent image fusion quality assessment index at the highest resolution without a reference MS image using Gaussian Scale Space (GSS) technology that could simulate the HVS. The spatial details and spectral information of original and fused images are first separated in GSS, and the qualities are evaluated using the proposed spatial and spectral quality index respectively. The overall quality is determined without a reference MS image by a combination of the proposed two indices. Experimental results on various remote sensing images indicate that the proposed index is more consistent with HVS evaluation compared with other widely used indices that may or may not require reference images.
AB - Quality assessment for image fusion is essential for remote sensing application. Generally used indices require a high spatial resolution multispectral (MS) image for reference, which is not always readily available. Meanwhile, the fusion quality assessments using these indices may not be consistent with the Human Visual System (HVS). As an attempt to overcome this requirement and inconsistency, this paper proposes an HVS-consistent image fusion quality assessment index at the highest resolution without a reference MS image using Gaussian Scale Space (GSS) technology that could simulate the HVS. The spatial details and spectral information of original and fused images are first separated in GSS, and the qualities are evaluated using the proposed spatial and spectral quality index respectively. The overall quality is determined without a reference MS image by a combination of the proposed two indices. Experimental results on various remote sensing images indicate that the proposed index is more consistent with HVS evaluation compared with other widely used indices that may or may not require reference images.
KW - Gaussian scale space
KW - Human visual system
KW - Image fusion
KW - Quality assessment
KW - Spatial quality index
KW - Spectral quality index
UR - http://www.scopus.com/inward/record.url?scp=84927675032&partnerID=8YFLogxK
U2 - 10.1016/j.isprsjprs.2014.12.018
DO - 10.1016/j.isprsjprs.2014.12.018
M3 - Article
AN - SCOPUS:84927675032
SN - 0924-2716
VL - 105
SP - 79
EP - 90
JO - ISPRS Journal of Photogrammetry and Remote Sensing
JF - ISPRS Journal of Photogrammetry and Remote Sensing
ER -