Abstract
Image inpainting or completion is a technique to restore a damaged image. Recently various approaches have been proposed. Wavelet transform has been used for various image analysis problems due to its nice multi-resolution properties and decoupling characteristics. We propose to utilize the advantages of wavelet transforms for image inpainting. Unlike other inpainting algorithms, we can expect better global structure estimation of a damaged region in addition to shape and texture properties.