Computer Science ›› 2014, Vol. 41 ›› Issue (Z6): 224-226.

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Digital Fusion Image Quality Objective Assessment Method Based on Visual Information Fidelity

HUA Dong and YU Hong-sheng   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Objective quality assessment of fusion image is of fundamental necessary in real-time digital image fusion system.A fusion image quality objective assessment method based on visual information fidelity (VIF) was proposed considering the assessment results of traditional objective assessment methods are disagree with the human subjective assessment results.Assuming that the image sources meet Gaussian scale mixture model,regarding image fusion proces-sing as image signal distortion channel,and considering human visual noise characteristics,VIF digital image fusion objective quality assessment model was established,and an image fusion quality evaluation index-FVIF was derived also.The experient indicated that the method can evaluate fusion image quality comprehensively and is better than other methods.The results of FVIF method are consistent with the human subjective assessment results.

Key words: Fusion image quality assessment,Visual information fidelity(VIF),Gaussian scale mixture(GSM),Human visual system(HVS)

[1] Wang Z,Bovik A C,Sheikh H R,et al.Image quality assessment:from error measurement to structural similarity[J].IEEE Transactions on Image Processing,2004,13(4):600-612
[2] Xydeas C S,Petrovic V.Objective image fusion performancemeasure[J].Electronics Letters,2000,36(4):308-309
[3] Li Shu-tao,Kang Xu-dong,Hu Jian-wen,et al.Image matching for fusion of multi-focus images in dynamic scenes[J].Information Fusion,2013,14:147-162
[4] Yang C,Zhang J,Wang X,et al.A novel similarity based quality metric for image fusion[J].Information Fusion,2008,9(2):156-160
[5] Sheikh H R,Bovik A C.Image information and visual quality[J].IEEE Trans.Image Process.,2006,5(2):430-444
[6] Wang Z,Bovik A C.A universal image quality index [J].IEEE Signal Processing Letters,2002,9(3):81-83
[7] Portilla J,Strela V,Wainwright M J,et al.Image denoising using scale mixtures of Gaussians in the wavelet domain[J].IEEE Trans.Image Process.,2003,2:1338-1351
[8] Sheikh H R,Bovik A C,de Veciana G.An Information FidelityCriterion for Image Quality Assessment Using Natural Scene Statistics[J].IEEE Trans.Image Process.,2005,14(12):2117-2128
[9] Wang Zhou,Li Qiang.Information Content Weighting for Perceptual Image Quality Assessment[J].IEEE Transactions on Image Processing,2011,20(5):1185-1198

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