Open AccessImage Compression and Enlargement Algorithms
Author(s) -
И. Г. Бурова,
Yu. K. Dem’yanovich,
Andrey Terekhov,
A. Yu. Altynova,
A. D. Satanovskiy,
A. A. Babushkin
Publication year - 2021
Publication title -
international journal of circuits, systems and signal processing
Language(s) - English
Resource type - Journals
ISSN - 1998-4464
DOI - 10.46300/9106.2021.15.92
Subject(s) - image (mathematics) , image compression , polynomial , compression (physics) , algorithm , mathematics , trigonometry , process (computing) , spline (mechanical) , computer science , image processing , computer vision , mathematical analysis , structural engineering , engineering , materials science , composite material , operating system
In some cases, there are problems associated with the compression and enlargement of images. The use of splines is quite effective in some cases. In this paper, a new image compression algorithm is presented. The features of increasing the size of an image when using local polynomial or non-polynomial splines are considered. The main method for enlarging an image is based on the use of splines of the second and third order of approximation. Polynomial and trigonometric splines are considered. To speed up the process of enlarging the image, we used the parallelization techniques