matlab denoising after the image blurred, how to de-blurring

Try using Wiener filtering, or try to sharpen the image to a certain extent (the simpler is to use the Laplace operator to filter out the edges and the source image on the line, I remember that before I saw the curvelet (curvelet) enhancement of the English literature, the effect seems to be very good).

But the main reason is still the problem of your denoising algorithm, general denoising will be at the expense of a certain loss of image quality, but good denoising algorithms and poor algorithms are still quite a lot of difference.

I do medical CT images, the image Gaussian noise is very heavy, basically we will not denoise, but choose to do the processing of noise insensitive algorithms, because denoising the image is basically a blur, can not be used at all.