This design proposes a scheme for fusion of images of the same scene obtained through different modalities, real-time or high definition images. The basic idea is to decompose each image into sub-images using complex wavelet transform. Information fusion is performed based on detailed coefficients of sub-images and the resulting image is obtained using inverse dual-tree wavelet transform. The proposed scheme as follows is based on ‘gradient’ criterion.

  • Input Image Chromatic/Multispectral
  • Scaling Image to 512*512
  • Multispectral Data R, G, and infrared bands extracted
  • Repeating Same for Multispectral bands
  • Applying Wavelet with 3 Level(Coefficients C1, C2, and C3)
  • Fusion Rule
  • Inverse Wavelet
  • Combining 3 results and fused band to HR Multispectral fused image
  • Result for Parameters-PSNR, SNR, RMSE, Image Quality Index and Spectral Quality Evaluation
Reference Paper: Image Fusion Based On Wavelet Transform
Author’s Name: Souparnika Jadhav
Source: International Journal of Engineering Research
Year: 2014

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