The invention discloses a multilayer Bayes
blind deconvolution method for an SAR
image based on a
frequency domain and spectrum matrix, and the method comprises the steps: inputting and observing the SAR image g, and giving an observation model; initializing an original SAR image f and a
point spread function h as f<0> and h<0>, and giving a prior model; initializing hyper-parameters of the model, setting a
confidence value, and giving a prior model; carrying out the zero extending and
cyclic shift of a
mask, h and h<0> of the prior model as c<es>, h<es>, and h<0><es>, and carrying out the conversion of c<es>, h<es>, and h<0><es> and the image into the
frequency domain; constructing and initializing a spectrum matrix through the spectrums of cycle
covariance matrixes of f and h<es>; optimizing random distribution to iterate and estimate hyper-parameters,
frequency domain h<es> and frequency domain f; converting the frequency domain to a
spatial domain, carrying out shifting and zero removing, and outputting the final result of
blind deconvolution. The method saves a process of vectoring and matrixing, so as to avoid high-cost superlarge matrix operation. The method employs the frequency domain to represent the vectors and matrixes, employs the spectrums of the matrixes to construct the spectrum matrix, achieves the
deconvolution at low operation cost, and effectively improves the operation efficiency of
blind deconvolution of the SAR image.