Process mining (PM) aims at discovering, monitoring and improving real processes by
obtaining knowledge from event logs. It has been used in a variety of fields and has gained …

Image inpainting is currently a hot topic within the field of computer vision. It offers a viable
solution for various applications, including photographic restoration, video editing, and …

Image completion is a challenging task which aims to fill the missing or masked regions in
images with plausibly synthesized contents. In this paper, we focus on face image inpainting …

An image captured using a single lens camera with the sun or flashing source of light in the
background frequently exhibits a bright spot in it. Usually, we observe bright spots in images …

Conventional inpainting methods generally apply textures that are most similar to the areas
around the missing region or use large image database. Recently, low rank property of data …

This paper presents an image inpainting method based on sparse representations
optimized with respect to a perceptual metric. In the proposed method, the structural …

We present a new biomimetic image inpainting algorithm, the Averaging and Hypoelliptic
Evolution (AHE) algorithm, inspired by the one presented in Boscain et al.(SIAM J. Imaging …

The quality of the veneer directly affects the quality and grade of a blockboard made of
veneer. To improve the quality and utilization of a defective veneer, a novel deep generative …

This paper proposes an efficient error concealment method for the reconstruction of pixels
that are lost in video communication. The proposed method is developed by combining …

In traditional inpainting method for object removal, the SSD (Sum of Squared Differences) is
always used to measure the degree of similarity between exemplar patch and target patch …