A method of determining the regularization parameter is proposed in order to solve the image deblurring problems. The main objective is to get the regularization parameter from the deblurring image. The method starts by considering the famous Total Variation methods and the Split Augmented Lagrangian Shrinkage Algorithm (SALSA), and then it deals with the effect of the regularization parameter on the result image. The proposed method proves that the parameter is determined by the noise and the gradient of the image. Results of the recovery of images were compared with different gradient and noise, and they help to reach a conclusion that the proposed method maximizes the improvement in Signal to Noise Ratio (ISNR). The method also removed noise and protected the details of the image in the processing of recovery as much as possible.