• Acta Photonica Sinica
  • Vol. 40, Issue 2, 311 (2011)
ZHANG Yong1、2、* and JIN Wei-qi1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: Cite this Article
    ZHANG Yong, JIN Wei-qi. Image Fusion Assessment Method Based on Structural Similarity and Region of Interest[J]. Acta Photonica Sinica, 2011, 40(2): 311 Copy Citation Text show less
    References

    [1] TOET A, FRANKEN E M. Perceptual evaluation of different image fusion schemes[J]. Displays, 2003, 24(1): 25-37.

    [2] PETROVIC′ V. Subjective tests for image fusion evaluation and objective metric validation[J]. Information Fusion, 2007, 8(2): 208-216.

    [3] CUI Yan-mei, NI Guo-qiang, ZHONG Yan-li, et al. Analysis and evaluation of the effect of image fusion using statistics parameters[J]. Journal of Beijing Institute of Technology, 2000, 20(1): 102-106.

    [4] QU Gui-hong, ZHANG Da-li, YAN Ping-fan. Information measure for performance of image fusion[J]. Electronics Letters, 2002, 38(7): 313-315.

    [5] HOWELL C, MOORE R, BURKS S, et al. An evaluation of fusion algorithms using image fusion metrics and human identification performance[C]. SPIE, 2007: 65430V1-65430V11.

    [6] WANG Z, BOVIK A C, SHEIKH H R, et al. Image quality assessment: from error visibility to structural similarity[J]. IEEE Transactions on Image Processing, 2004, 13(4): 600-612.

    [7] ZHANG Jing, SHEN Lan-sun, GAO Jing-jing. Regions of interest detection based on visual attention mechanism[J]. Acta Photonica Sinica, 2009, 38(6): 1561-1565.

    [8] XING Su-xia, CHEN Tian-hua. A new quality measure method for image fusion based on visual characteristics[J]. Journal of Beijing Technology and Business University, 2010, 28(1): 60-63.

    [9] DI Hong-wei, LIU Xian-feng. Image fusion quality assessment based on structural similarity[J]. Acta Photonica Sinica, 2006, 35(5): 766-771.

    [10] PIELLA G. A general framswork for multiresolution image fusion: from pixels to regions[J]. Information Fusion, 2003, 4(4): 259-280.

    ZHANG Yong, JIN Wei-qi. Image Fusion Assessment Method Based on Structural Similarity and Region of Interest[J]. Acta Photonica Sinica, 2011, 40(2): 311
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