Aiming at the problem of image information enhancement based on wavelet transform, an image information enhancement algorithm based on wavelet decomposition and asynchronous reconstruction was proposed. The asynchronous reconstruction method does not use the usual order, but uses the sort code to carry out. By simulating human brain processing visual information, this method attempted to achieve image reconstruction by using fewer frequency channels. Firstly, the signal is firstly decomposed by Gauss difference filter. Then the most important information frequency component was selected, and each pixel was reconstructed with the best scale, and the weak response scale was ignored. Experimental results show that, as compared with the traditional standard sorting reconstruction algorithm, the proposed algorithm could achieve fast image reconstruction and achieve high enhancement performance in the case of partial reconstruction.