AbstractAlthough there have been significant advances in the field of image restoration recently, system complexity state-of-the-art (SOTA) methods is increasing as well, which may hinder convenient analysis and comparison methods. In this paper, we propose a simple baseline that exceeds SOTA computationally efficient. To further simplify baseline, reveal nonlinear activation functions, e.g. Si...

Abstract Image restoration is an essential part in the field of computer vision, which aims at predicting and filling pixels missing images to achieve satisfactory visual effects, it has extensive application value fields film television special effects production, image editing, digital cultural heritage protection virtual reality. With introduction concept deep learning recent years, been wid...

Even though Image Restoration being a conventional problem in image processing, is still a demanding area and has always attracted the interest of research community. Image restoration algorithms are important as it serves a wide range of real world applications such as astronomy, medical imaging and photo editing are just a few which demands a good quality image for further high level processi...

This paper summarizes a new Bayesian method for edge-preserving image restoration from noisy measurements. The line-site method of Geman and Geman forces region boundaries to lie along pixel boundaries, which is unnatural, particularly for 3D data. Here, we augment the intensity process with a binary \mixture site" process, which has one parameter for each pixel indicating the presence of a bou...

Many approaches to image restoration are aimed at removing either Gaussian or uniform impulsive noise. This is because both types of degradation processes are distinct in nature, and hence they are easier to manage when considered separately. Nevertheless, it is possible to find them operating on the same image, which produces a hard damage. This happens when an image, already contaminated by G...