Abstract: we proposed a regularization-based multi-view blind deconvolution method to complete image restoration of blurred images,which are captured by camera array system. This method is conducted with three procedures： firstly, an optical flow algorithm is utilized torealize the registration of adjacent images. Secondly, we use a multichannel blind deconvolution algorithm to estimate the blurs of eachinput blurred images after registration. Finally, according to the estimated blurs, clear images are obtained using non-blind deconvolutionalgorithm. Experiments show that, compared with single image blind deconvolution algorithm, the proposed method is robust to noise.When dealing with the blurred images captured by a camera array system constructed by ourselves, it performs better in terms of NIQE andSSEQ by 4.20% and 55.60% respectively.