The Wiener filter is used efficiently in removing noise from images, as it is used to remove Gaussian noise. However, its use causes the loss of edge details and blurring of images. The proposed image de-blurring using a combination of the Wiener filter and a sharpening filter is presented to solve the problem of blurry images. It retains or preserves edge content while reducing noise in an image. This enhancement process is performed by multiplying the frequency coefficients of the image by the weights of the sharpening filter. The inverse transform is then applied to obtain the de-blurred image. Different focus operators were used for testing the proposed algorithm. The experimental results showed that the proposed de-blurring method produced good results compared with the traditional de-blurring methods.