Infrared images always have low contrast and narrow gray level distribution.Infrared image enhancement is requisite for further application,which usually leads to the amplification of noise.In order to improve the quality of infrared images,it is essential to de-noise the enhanced image.Existing de-noising methods rarely take into account both efficiency and feasibility.In this paper,a de-noising algorithm based on redundant digital wavelet transformation(DWT)is proposed.The algorithm obtains several group of wavelet coefficients that contain similarly redundant information by different down-sampling in the processing of DWT.A non-linear transformation on the wavelet coefficients is used to retain the details and repress the high frequency noise based on the result of noise estimation.Then the reconstruction of processed wavelet coefficients(IDWT)generates a set of mid-images which contain similarly redundant information.Last a final de-noised image is acquired by weighted adding of the mid-images that further remove the high frequency noise.This algorithm has been realized in a single FPGA implementation.The processing frame rate on the ALTERA CYCLONIII chip is 50 f/s,which meets the real-time requirements.