Similarity-Based Objective Measure for Performance of Image Fusion
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    Abstract:

    This paper considers the problem of quality assessment of image fusion result. A novel similarity-based measure for the performance of image fusion is proposed. From human visual features, this measure evaluates the similarity of the gradient fields between the source image and fused image. Compared with the existing similarity-based measures, the proposed one has an omnidirectional recognition ability; Compared with the mutual information method, it is more consistent with the human perception nature as it considers only the local image variations. Experimental results show that the proposed measure can evaluate the image fusion performance satisfactorily and is also perceptually meaningful.

    Reference
    [1]Li H,Manjunath BS,Mitra SK.Multisensor image fusion using the wavelet transform.Graphical Models and Image Processing,1995,57(3):235-245.
    [2]Xydeas CS,Petrovic V.Objective image fusion performance measure.Electronics Letters,2000,6(4):308-309.
    [3]Qu G,Zhang D,Yan P.Information measure for performance of image fusion.Electronics Letters,2002,38(7):313-315.
    [4]Wang Z,Bovik AC.A universal image quality index.IEEE Signal Processing Letters,2002,9(3):81-84.
    [5]Alparone L,Baronti S,Garzelli A,Nencini F.A global quality measurement of pan-sharpened multispectral imagery.IEEE Geoscience and Remote Sensing Letters,2004,1 (4):313-317.
    [6]Socolinsky DA,Wolff LB.Multispectral image visualization through first-order fusion.IEEE Trans.on Image Processing,2002,11 (8):923-931. [1]下载自http://www.spaceimage.com [1]图片下载自http://www bic.mni.mcgill.ca/brainweb/
    [2]这里的0.01是指将图像灰度范围归一化到[0,1]后的噪声功率. [1]图像gun,pepsi下载自http://www.eecs.lehigh.edu/image_fusion/htm.图像CT-MR下载自http://www.imagefusion.org
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王超,叶中付.基于相似性的图像融合质量的客观评估方法.软件学报,2006,17(7):1580-1587

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  • Received:December 23,2004
  • Revised:July 11,2005
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