  Inpainting is the technique of reconstructing unknown or damaged portions of
an image in a visually plausible way. Inpainting algorithm automatically fills
the damaged region in an image using the information available in undamaged
region. Propagation of structure and texture information becomes a challenge as
the size of damaged area increases. In this paper, a hierarchical inpainting
algorithm using wavelets is proposed. The hierarchical method tries to keep the
mask size smaller while wavelets help in handling the high pass structure
information and low pass texture information separately. The performance of the
proposed algorithm is tested using different factors. The results of our
algorithm are compared with existing methods such as interpolation, diffusion
and exemplar techniques.
