Abstract
Image fusion algorithm using compressed sensing theory in NonSubsampled Contourlet Transform (NSCT) domain is proposed, NSCT can provide better sparsity than wavelet transform in image transform. After the transform of NSCT, low-frequency coefficients of the image are preserved, only high-frequency coefficients are measured. Fused coefficients are calculated according to different fusion rules in low frequency and high frequency domain. In the reconstruction, OMP algorithm is used to recover the high-frequency coefficients and the image is reconstructed by inverse nonsubsampled contourlet transform. Compared with wavelet compressed sensing algorithms, simulation results demonstrate that the quality of reconstructed image can be greatly improved.KeywordsNonsubsampled contourlet transformImage fusionMulti-resolutionCompressed sending
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