Basic Methods and Principles of Developing Image Inpainting Algorithms
Abstract
Purpose: Visual distortions caused by lost packets in networks with non-guaranteed delivery are sometimes processed (masked) at the decoder side. To solve this problem, image inpainting algorithms are used. The purpose of this work is classifying the methods and principles of these algorithms, finding the advantages and shortcomings of the existing approaches, formulating the current problems and possible ways to resolve them. Results: The discussed approaches and principles which form the basis for image inpainting algorithms are divided into the following classes: structural techniques, textural techniques and sparse-coding techniques. Some ways are presented to overcome the high computational complexity of the discussed methods using suboptimal procedures. The link is shown between textural inpainting techniques and sparse-coding techniques. Restoration quality analysis is given for various image region types. Practical relevance: The discussed approaches can be applied for the development of applications sensitive to retransmission in networks with non-guaranteed delivery.Published
2015-10-20
How to Cite
Yastrebov, V., Veselov, A., & Gilmutdinov, M. (2015). Basic Methods and Principles of Developing Image Inpainting Algorithms. Information and Control Systems, (5), 34-42. https://doi.org/10.15217/issn1684-8853.2015.5.34
Issue
Section
Information processing and control