To reduce the blur phenomenon in real millimeter-wave radiation images, a blind deblurring method of millimeter-wave radiation images based on residual scale recursive network (RSEN) is proposed. RSRN adopted a multi-level residual recursive structure and added cascading residual connections and multi-scale recurrent connections to the encoder-decoder network structure. It completely utilized the multi-scale feature information of millimeter-wave radiation images while improving model performance, thus making the networks training more stable. Finally, the millimeter-wave radiation image was deblurred in an end-to-end manner. The results demonstrate that, when compared with the existing image deblurring methods, this method eliminates the blur better while retaining the detailed information, and provides better qualitative and quantitative results.