New Hybrid Approach for Exemplar-Based Image Inpainting

Image inpainting is an approach of retaining the disfigured parts of the image in such a way that it looks acceptable to the naked eye. Image inpainting can be implemented by several techniques, wavelet-based, concept of variation and experience model. Here, in this article, we used the exemplar-based method, i.e. to copy and paste the texture from the known source region. The running time complexity is pretty higher for these techniques. So, a lot of techniques were introduced to improve confidence value and decrease time complexity. In this paper, a new hybrid algorithm is developed which mainly aims to increase the performance of restoration of the image by taking the information from nearby pixels and by selecting them with high probability pixels then replace them. The results achieved during the experiment show the efficiency of the hybrid algorithm. abstract environment.