Image restoration based on least-squares increment iterative and regularization method
基于最小二乘增量迭代正则化方法的图像复原

Aiming at the restoration of blurred image,an effective restoration approach based on least-square algorithm was proposed.This method adopted increment iterative algorithm to improve convergence and meanwhile applied regularization technique to overcome ill-posed problem.In the computations,the equation was solved by steepest descend algorithm,and the complexity was reduced by FFT principal,meanwhile,the regularization parameter has its adaptive character,which can be determined in terms of the restored image at each iteration step therefore automatically correct to the appropriate value.Computer simulations show that the proposed method can properly retrieve the main information of original image,and the PSNR(peak signal to noise ratio) and subjective visual effect of the restored image are improved significantly.