Image compression and enlargement algorithms

被引：0
|
作者：
Burova I.G. [1 ]
Dem’yanovich Yu.K. [1 ]
Terekhov A.N. [1 ]
Altynova A.Yu. [1 ]
Satanovskiy A.D. [1 ]
Babushkin A.A. [1 ]
机构：
[1] St. Petersburg State University, 7/9 Universitetskaya nab, St.Petersburg
来源：
International Journal of Circuits, Systems and Signal Processing | 2021年 / 15卷
关键词：
Polynomial splines; Trigonometric splines; —Image enlargement;
D O I：
10.46300/9106.2021.15.92
中图分类号：
学科分类号：
摘要：
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. © 2021, North Atlantic University Union NAUN. All rights reserved.
引用
收藏
页码：836 / 846
页数：10
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