
Image reconstruction using the modified texture synthesis algorithm
Author(s) -
Ragim R. Ibadov,
Nikolay Gapon,
Samir R. Ibadov,
Svetlana V. Kucheryavenko
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1029/1/012117
Subject(s) - pixel , computer science , artificial intelligence , image (mathematics) , texture synthesis , algorithm , computer vision , novelty , set (abstract data type) , object (grammar) , iterative reconstruction , image texture , image processing , pattern recognition (psychology) , theology , programming language , philosophy
The article discusses a method for image reconstruction based on the search for similar blocks using a texture synthesis algorithm. The effectiveness of the new approach is shown using several examples for various areas with lost pixels. The subject of the research is methods and algorithms for processing space-time reconstruction of two-dimensional signals based on a geometric model of images. The object of research is a set of test static images. The result of the study is a modification of the image reconstruction method based on the search for similar blocks in order to reduce the error in image reconstruction. The novelty of the work is an algorithm that improves the quality of image restoration. The results obtained make it possible to reduce the root mean square error.