@article{MAKHILLIJSC20149321199,
    title = {A Fuzzy Based Multiresolution Method for Multimodal Image Fusion},
    journal = {International Journal of Soft Computing},
    volume = {9},
    number = {3},
    pages = {169-177},
    year = {2014},
    issn = {1816-9503},
    doi = {ijscomp.2014.169.177},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2014.169.177},
    author = {D. Egfin,R.K. and},
    keywords = {Image fusion,multiresolution, non-subsampled contourlet transforms,fuzzy logic,fuzzy logic},
    abstract = {In this study, a Pixel Image Fusion Method that combines multiple 
  sensor images using Non-Subsampled Contourlet Transform (NSCT) and fuzzy Logic 
  is proposed. The objective of this study is to improve the efficiency and performance 
  NSCT based Fusion Method using fuzzy logic. As the Wavelet Transform Based Methods 
  widely used for fusion can not represent smooth contours and edges in images 
  accurately, the proposed method uses NSCT for multiresolution decomposition. 
  The multisensor image information from different sensors is often complementary, 
  uncertain, vague and redundant. As fuzzy logic is a powerful tool that can handle 
  the uncertainty associated with vagueness, it is employed to determine the fusion 
  weight for each NSCT low-pass coefficient based on the activity measures spatial 
  frequency and entropy. In order to combine the NSCT high-frequency directional 
  coefficients the local energy measure is employed. Experimental results demonstrate 
  that the fused images of the proposed NSCT-Fuzzy scheme are with best visual 
  quality and achieve higher scores than the Multiresolution-Based algorithms 
  Discrete Wavelet Transform (DWT), NSCT and hybrid NSCT in terms of the fusion 
  evaluation metrics.}
    }