It is obvious that the image cannot be used directly and that some processing is required before any analysis. The standard method consists of convolving the image with a Gaussian. The second image above shows the result of doing this. With much residual noise, it is difficult to see any structure.
The final image above shows the image after wavelet filtering. Faint X-ray emission structures are seen, related to gravitational amplification phenomena obervable in the visible wavelength range.
Noise filtering alone will show up the disk quite well. For detection of faint structures in the disk, one can calculate that the use of such filtering on this image provides a gain of observing time of a factor of around 60. The deconvolved image (second image above) shows that the disk is extended at 10 microns and on close examination can be seen to be asymmetrical. The multiscale entropy method is more effective for regularizing than other standard methods, and leads to good reconstruction of the faintest structures of the dust disk.
Image and Data Analysis: The Multiscale Approach, J-L Starck, F Murtagh and A Bijaoui, Cambridge University Press, 1998.