In order to eliminate the influence of noise on sonar image and improve the recognition quality of sonar image, a method of dual-density dual-tree complex wavelet transform (DDDTCWT) and fuzzy optimization is proposed. The method eliminated the defect of losing practical information due to interval sampling by dual-tree structure, adopted the improved fuzzy optimization algorithm for the decomposed low-frequency components, and performed the dualvariable contraction function processing for the high-frequency components. The enhanced image was obtained through inverse wavelet transform. Experiments show that the proposed algorithm can better retain the details of the image, can make the image level more clear, and has a very good visual effect. The subjective effect and objective index of this algorithm are obviously better than other algorithms.