As traditional denoising algorithm can’t deal with the infrared image well,an infrared image threshold denoising algorithm based on scale correlation of SWBC (Stationary Wavelet-based Contourlet) transform is proposed. The energy distribution characteristics of signal and noise in SWBC transform domain were analyzed. The proposed de-noising algorithm only deals with high frequency sub-bands’ coefficients instead of all sub-bands’ coefficients in traditional de-noising algorithm. In order to increase the accuracy of SWBC coefficient threshold estimate,different thresholds were set for each coefficient,and combined with the scale correlation,double judgment was carried out for coefficients. In the experiments,different infrared images with noise are used to verify the proposed algorithm. Experimental results show that the proposed algorithm can obtain higher SNR improvement,and the SSIM is closer to 1,compared with the WBC inter-scale hard threshold denoising algorithm,WBC inter-scale self-adaptive threshold denoising algorithm and WBC scale correlation denoising algorithm.