Research Article
Vaibhav V Nalawade, Sachin D R
Abstract
Inpainting is the art of modifying an image in a form that is not detectable by an ordinary observer. There are numerous and different approaches to tackle the inpainting problem. The inpainting technique can be classified into two categories: (1) texture oriented and (2) structure oriented. Both the technique have their advantages and disadvantages. 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. A number of examples on real and synthetic images demonstrate the effectiveness of the algorithm. Unlike other inpainting algorithms, we can expect better global structure estimation of a damaged or target region in addition to shape and texture properties