  Image inpainting algorithms are used to restore some damaged or missing
information region of an image based on the surrounding information. The method
proposed in this paper applies the radial based analysis of image inpainting on
GRNN. The damaged areas are first isolated from rest of the areas and then
arranged by their size and then inpainted using GRNN. The training of the
neural network is done using different radii to achieve a better outcome. A
comparative analysis is done for different regression-based algorithms. The
overall results are compared with the results achieved by the other algorithms
as LS-SVM with reference to the PSNR value.
