关键词: 超分辨重构, 正则化, contourlet变换, àtrous 小波, 非下采样轮廓波

Abstract: Aiming at the reconstruction of SAR image super-resolution，a regularization model based on àtrous-nonsubsampled contourlet domain is established.When choosing the regularization parameter，an adaptive method is proposed which needn’t the nosie and prior information of image，and enhances the veracity of the regularization parameter.The algorithm’s convergence is improved by FR conjugate gradient method.Compared with regularization algorithm in spatial domain，wavelet and contourlet domain，computer simulations show that the proposed approach in this paper can properly retrieve the main information of original image and be superior to the other three methods.

Key words: super-resolution reconstruction, regularization, contourlet transformation, àtrous wavelet, nonsubsampled contourlet