For the serious ringing effect resulti ng from the existing image restoration algorithms,an image deblurring method bas e d on simulated annealing with image sparse representation was proposed to restore the degraded image.Firstly,based on the simula ted annealing algorithm,the cost function is built and the parameters of the cost function a re determined by the blurring factor of image.Then,the image sparse feature is introduced as the constraint item of cost function so as to improve the image quality.Random disturbance is adde d to initial solution in order to generate the perturbation solution,and the change of the c ost function caused by the perturbation solution will determine whether the perturbation s olution is accepted.Finally, when the cost function is less than a preset value,the resulting solution is th e restored image.The experimental results demonstrate that the restoration image has more details but fewer ringing effects.Compared with the existing restoration methods,the proposed method can i ncrease the peak signal to noise ratio (PSNR) of the restored image by 2~3dB on average.The restoration effect of the proposed method reveals its practicability in the image processing.