Fast Motion Deblurring Using Conjugate Gradient Based Minimization Approach

2 [email protected] ________________________________________________________________________________ ABSTRACT We propose a new algorithm for removing a fast motion blur from an image. The term "iterative met hod" refers to a wide range of techniques which use successive approximations to obtain more accurate solutions .In this paper an attempt to solve systems of linear equations of the form AX=b, where A is a known square and positive definite matrix. We dealt with two iterative methods namely stationary(Jacobi, Gauss-Seidel, SOR) and non-stationary (Conjugate Gradient, Preconditioned Conjugate Gradient). Here we are using an non stationary iterative method called Conjugate Gradient method which use successive approximations to obtain more accurate solutions . Using Matlab language this algorithm is transformed and then used as iterative method for solving the linear systems of linear equations. Experimental results demonstrate that the proposed approach provide hi gher restoration performance than stationary iterative methods.