An Overview of Restoration Algorithms for Digital Images

Image restoration refers to the process of restoration of lost or corrupted data in the image. In recent years, numerous methods with different functions in the reconstruction of noisy images or text replacement, hiding waste in the context of transferring of corrupted image, object removal in the context of editing, or removing the image prohibition on the transfer of image-based perspectives are presented which are distinct from the photos taken by the cameras. This article attempts to investigate the most appropriate and satisfactory method among different algorithms of image restoration. Scattered frequencies are considered to remove restoration problem with the emergence of sporadic cases and intensive observations. Scattering-based techniques are more suitable for filling large context areas. The algorithm is based on the assumption that the image (or patch) on a specified basis, spread (i.e., discrete cosine transform (DCT) or shock waves) with the goal that the restored image to be physically acceptable and satisfactory in appearance.