Karapetyan Gevorg ; Voronin Viacheslav ; Sarukhanyan Hakob
Image inpainting, a technique of completing missing or corrupted image regions in undetected form, is an open problem in digital image processing. Inpainting of large regions using Deep Convolutional Generative Adversarial Nets (DCGAN) is a new and powerful approach. In described approaches the size of generated image and size of input image should be the same. In this paper we propose a new method where the size of input image with corrupted region can be up to 4 times larger than generated image.
oai:noad.sci.am:135825
Serbian journal of electrical engineering
sparik_hayrapetyan@edu.aua.am ; gevorgk@ipia.sci.am; hakop@ipia.sci.am
American University of Armenia ; Institute for Informatics and Automation Problems ; Don State Technical University
Mar 3, 2021
Jul 20, 2020
15
https://noad.sci.am/publication/149358
Հրատարակության անուն | Ամսաթիվ |
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Sparik Hayrapetyan, Combination of Single Image Super Resolutionand Digital Inpainting Algorithms Based onGANs for Robust Image Completion | Mar 3, 2021 |