A novel super-resolution reconstruction (SRR) algorithm is proposed based on nonsubsampled pyramid transform (NSPT) and pulse coupled neural network.Firstly,the image preprocessed by three-degree B-Spline interpolation is decomposed by NSPT to obtain its low frequency sub-band coeffi cients and high frequency sub-band coefficients.For the low frequency coefficients,a new reco nstruction method obtained by PCNN-SC is presented.For the high frequency coeff icients,the reconstruction is completed by fusioning them with the high resolu tion (HR) feature image through improved PCNN.Finally,the HR image is obtained by inverse NSPT The experimental results show that the proposed method outperforms other classical SRR algorithms in terms of b oth visual quality and objective evaluation.