Abstract: According to the characteristics of laser active imaging and practical application,a new image denoising algorithm based on homomorphic filtering and dual tree complex wavelet transform (DTCWT) was proposed. Firstly, speckle noise was converted from multiplicative noise to additive noise by homomorphic transform. Secondly, the noise image was decomposed with the Q-shift DTCWT, then wavelet coefficients were revised by Bayes adaptive threshold method. Finally, inverse transforms were carried out and the denoised intensity image was obtained. The algorithm proposed had approximate shift- invariant, good directional selectivity and perfect reconstruction. The image signal to noise ratio (SNR), peak signal to noise ratio (PSNR) and the run time were applied to estimate the denoising effect. Experimental results show that the proposed algorithm has advanced denoising performance in laser active imaging and great efficiency in computation. Meanwhile, the detail of image is well protected.