Radar target image mixed noise elimination method based on wavelet transformation

The invention relates to a radar target image mixed noise elimination method based on wavelet transformation, and relates to the field of radar target image noise elimination. Performing primary coarse filtering on high-frequency parts of high-frequency information and low-frequency information of R, G and B channels of the image in horizontal, vertical and diagonal directions by adopting a wavelet coefficient correlation noise reduction algorithm so as to eliminate most of noise with relatively large amplitude in the image; meanwhile, an improved self-adaptive median filtering algorithm is designed to carry out secondary fine-grained filtering on the reconstructed R, G and B channels. According to the method provided by the invention, the image information can be well recovered under the condition of mixed noise with different intensities, the stability is high, and the noise reduction of the radar target image can be realized under the condition of mixed noise with different intensities. 本发明涉及一种基于小波变换的雷达目标图