  3D image processing constitutes nowadays a challenging topic in many
scientific fields such as medicine, computational physics and informatics.
Therefore, development of suitable tools that guaranty a best treatment is a
necessity. Spherical shapes are a big class of 3D images whom processing
necessitates adoptable tools. This encourages researchers to develop spherical
wavelets and spherical harmonics as special mathematical bases able for 3D
spherical shapes. The present work lies in the whole topic of 3D image
processing with the special spherical harmonics bases. A spherical harmonics
based approach is proposed for the reconstruction of images provided with
spherical harmonics Shannon-type entropy to evaluate the order/disorder of the
reconstructed image. Efficiency and accuracy of the approach is demonstrated by
a simulation study on several spherical models.
