Abstract：An image data fusion algorithm based on wavelet transform was proposed to improve the accuracy of reconstructed images. First, reconstructed images were obtained using conjugate gradient least square algorithm and Landweber iterative algorithm, respectively. Secondly, reconstructed images were decomposed by wavelet. After that, the approximate component was processed according to the weighted average fusion rule. The detail component was processed according to the maximum fusion rule of absolute value. Finally, the new reconstructed images were obtained by wavelet reconstruction. Simulation and experimental results showed that the reconstructed images with higher accuracy can be obtained after fusion and the artefacts were decreased obviously.
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2019, Vol. 40 
