Steganography is used to hide a secret message within a cover image, thereby yielding a stegoimage such that even the trace of the presence of secret information is wiped out. This project proposes a novel prediction based reversible steganographic scheme based on image Inpainting. First, reference pixels are chosen by using Particle Swarm Optimization technique. Then, In order to generate a pr...

Abstract Motivated by human behavior, dividing inpainting tasks into structure reconstruction and texture generation helps to simplify restoration process avoid distorted structures blurry textures. However, most of are ineffective for dealing with large continuous holes. In this paper, we devise a parallel adaptive guidance network(PAGN), which repairs enriches textures through branches, sever...

Image in-painting is the art of restoring lost and selected parts of an image based on the background information in such a way so that the change is not observed by the observer. Image In-painting is very important and emerging field of research in image processing. Image Inpainting algorithm have numerous applications such as rebuilding of damaged photographs & films, heritage preservation, r...

In 2001, Bertalmio, et. al. drew an analogy between the image intensity function for the image inpainting problem and the stream function in a two-dimensional (2D) incompressible fluid. An approximate solution to the inpainting problem is obtained by numerically approximating the steady state solution of the 2D NSE vorticity transport equation, and simultaneously solving the Poisson problem bet...

Recently image inpainting has witnessed rapid progress due to generative adversarial networks (GAN) that are able to synthesize realistic contents. However, most existing GAN-based methods for semantic inpainting apply an autoencoder architecture with a fully connected layer, which cannot accurately maintain spatial information. In addition, the discriminator in existing GANs struggle to unders...

Image inpainting is the art of manipulating an image so that it visually unrecognizable way. A considerable amount research has been done in this area over last few years. However, state techniques does suffer from computational complexities and plausible results. This paper proposes a multi-level pyramid-based algorithm. The algorithm starts with coarsest level pyramid overpainting information...