With the increasing popularity of digital images, developing advanced algorithms that can
accurately reconstruct damaged images while maintaining high visual quality is crucial …

Existing image inpainting algorithms have achieved good results in regular mask inpainting
tasks, but there are still many limitations for irregular mask, and the inpainting results lack …

Melanoma skin cancer is one of the most dangerous forms of skin cancer because it grows
fast and causes most of the skin cancer deaths. Hence, early detection is a very important …

Video inpainting is an ill-posed inverse problem in image processing focused on eliminating
unwanted objects and restoring damaged or corrupted regions within a video sequence …

For the exemplar-based image inpainting problem, the filling order and local intensity
smoothness are two crucial factors that should be considered carefully. This work gives a …

Image inpainting is widely used in the image restoration field. For large-region damaged
images, many of the existing methods cannot reconstruct a reasonable structure, which …

In this paper, we proposes an image inpainting algorithm based on the modified Gray–Scott
(GS) model. We have added a fidelity term to control the edge and stability of pixel value …

Image restoration is always a long-term problem in low-level computer vision, which has
many practical applications. In this paper, we devote to reconstructing a single image from …

Image inpainting networks based on deep learning techniques have been widely used in
many important fields. However, most inpainting networks fail to generate desirable repaired …

Image inpainting is an important research direction of image processing. The generative
adversarial network (GAN), which can reconstruct new reasonable content in the corrupted …