According to three-dimensional (3D) characteristic parameters of gas-liquid bu bbly flow and high precision measurement requirements,double threshold wavelet denoising method is proposed for such noi se characteristics to achieve gas-liquid multiple bubbles image denoising.Based on the theoretical models of hard thresho ld and soft threshold,we use double-threshold wavelet denoising method to divide target area effectively,ma intain better edge characteristics and achieve a better result.The method can solve the problems that the hard-threshold wave let denoising excessively strangles the real original information,the bubble edge characteristics cannot be optimized using soft-threshold effectively,and Semi-soft threshold algorithm is too complex to use in the practical applications.The exp eriment results show that the signal-to-noise ratio (SNR) of image after denoising can be increased by 11%,and the entropy is inc reased by 5.3%.Compared with the general wavelet threshold denoising algorithm,root mean square error (RMSE) is reduced by 6.9%.The method can eliminate background noise effect ively,smooth the images without image distortion,and maintain the edge feature of bubbles simultaneously.It impr ove s the subsequent extraction accuracy of flow characteristic effectively.