• Laser & Optoelectronics Progress
  • Vol. 55, Issue 1, 11011 (2018)
Yin Xiang* and Ma Jun
Author Affiliations
  • School of Computer and Information Engineering, Henan University, Kaifeng, Henan 475001, China
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    DOI: 10.3788/LOP55.011011 Cite this Article Set citation alerts
    Yin Xiang, Ma Jun. Image Fusion Method Based on Entropy Rate Segmentation and Multi-Scale Decomposition[J]. Laser & Optoelectronics Progress, 2018, 55(1): 11011 Copy Citation Text show less
    First order decomposition and reconstruction of NSP
    Fig. 1. First order decomposition and reconstruction of NSP
    Iteration structure of NSP double-channel filter banks
    Fig. 2. Iteration structure of NSP double-channel filter banks
    Diagram of NSDFB cascading
    Fig. 3. Diagram of NSDFB cascading
    Influence of entropy rate on cluster compactness. (a) Entropy rate is 0.81; (b) entropy rate is 0.43; (c) entropy rate is 0.64; (d) entropy rate is 0.61
    Fig. 4. Influence of entropy rate on cluster compactness. (a) Entropy rate is 0.81; (b) entropy rate is 0.43; (c) entropy rate is 0.64; (d) entropy rate is 0.61
    Flow chart of proposed fusion method
    Fig. 5. Flow chart of proposed fusion method
    Fusion results on Pepsi image. (a) Left-focus image; (b) right-focus image; (c) NSCT fusion method; (d) WT fusion method; (e) PCNN fusion method; (f) entropy rate segmentation fusion method; (g) proposed method
    Fig. 6. Fusion results on Pepsi image. (a) Left-focus image; (b) right-focus image; (c) NSCT fusion method; (d) WT fusion method; (e) PCNN fusion method; (f) entropy rate segmentation fusion method; (g) proposed method
    Fusion results on Disk. (a) Left-focus image; (b) right-focus image; (c) NSCT fusion method; (d) WT fusion method; (e) PCNN fusion method; (f) entropy rate segmentation fusion method; (g) proposed method
    Fig. 7. Fusion results on Disk. (a) Left-focus image; (b) right-focus image; (c) NSCT fusion method; (d) WT fusion method; (e) PCNN fusion method; (f) entropy rate segmentation fusion method; (g) proposed method
    Fusion results on Lab image. (a) Left-focus image; (b) right-focus image; (c) NSCT fusion method; (d) WT fusion method; (e) PCNN fusion method; (f) entropy rate segmentation fusion method; (g) proposed method
    Fig. 8. Fusion results on Lab image. (a) Left-focus image; (b) right-focus image; (c) NSCT fusion method; (d) WT fusion method; (e) PCNN fusion method; (f) entropy rate segmentation fusion method; (g) proposed method
    MethodQAB/FMIEntropySFAG
    NSCT0.72112.17897.123513.37853.8968
    DWT0.70701.30297.145014.15934.3208
    PCNN0.55641.17907.454514.52643.7707
    Segmentation0.77663.19217.127413.80484.0551
    Proposed0.77133.99697.134114.89814.1420
    Table 1. Quality assessment results on fusion image of Pepsi
    MethodQAB/FMIEntropySFAG
    NSCT0.61374.12367.259013.89364.2835
    DWT0.63252.71097.365915.65304.9537
    PCNN0.46372.80127.169810.56053.1140
    Segmentation0.70058.69587.266815.22444.4776
    Proposed0.71939.25617.290815.54444.9806
    Table 2. Quality assessment results on fusion image of Disk
    MethodQAB/FMIEntropySFAG
    NSCT0.64022.31166.979911.56953.3906
    DWT0.64272.34307.707313.03283.8591
    PCNN0.51782.30716.98849.41812.6328
    Segmentation0.68755.68826.958611.68933.3539
    Proposed0.68782.74577.027413.15933.5515
    Table 3. Quality assessment results on fusion image of Lab
    Yin Xiang, Ma Jun. Image Fusion Method Based on Entropy Rate Segmentation and Multi-Scale Decomposition[J]. Laser & Optoelectronics Progress, 2018, 55(1): 11011
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