Objective evaluation of images is one of the most essential and practical aspects of image
inpainting. The existing objective evaluation methods of image inpainting are functional only …

Image inpainting is the process of restoring missing pixels in digital images in a plausible
way. Research in image inpainting has received considerable attention in different areas …

In this paper, a new method for determining the curvature of the drill's rake surface is
developed. The new method is based on the identified functional relationships between the …

Digital image inpainting is one of the most important areas in image processing science.
Digital image inpainting is a set of methods to inpaint or refill the damaged areas of the …

This paper deals with Blind Inpainted Image Quality Assessment BIIQA. Herein, we propose
a new method that exploits the continuity of features around the boundaries of the retouched …

Existing NR-IIQA (no reference-based inpainted image quality assessment) algorithms
assess the quality of an inpainted image via artificially designed unnaturalness expression …

Background: Audio signal reconstruction using machine/deep learning algorithms has been
explored much more in the recent years, and it has many applications in digital signal …

The “Thangka” is a special artistic presentation from Tibetan, which is also widely regarded
as one of the Intangible Cultural Heritage. Because of a long history and its ingredient …

This paper presents an efficient metric for evaluation the effect of the inpainted Thangka
images. In contrast to standard image quality metrics, the proposed one takes into account …

Since the operating conditions of nanolayer systems are usually stochastic, modeling the
processes occurring in them requires the use of probabilistic methods. The application of the …