Standard

Image compression and enlargement algorithms. / Burova, I. G.; Dem’yanovich, Yu K.; Terekhov, A. N.; Altynova, A. Yu; Satanovskiy, A. D.; Babushkin, A. A.

в: International Journal of Circuits, Systems and Signal Processing, Том 15, 05.08.2021, стр. 836-846.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Burova, IG, Dem’yanovich, YK, Terekhov, AN, Altynova, AY, Satanovskiy, AD & Babushkin, AA 2021, 'Image compression and enlargement algorithms', International Journal of Circuits, Systems and Signal Processing, Том. 15, стр. 836-846. https://doi.org/10.46300/9106.2021.15.92

APA

Burova, I. G., Dem’yanovich, Y. K., Terekhov, A. N., Altynova, A. Y., Satanovskiy, A. D., & Babushkin, A. A. (2021). Image compression and enlargement algorithms. International Journal of Circuits, Systems and Signal Processing, 15, 836-846. https://doi.org/10.46300/9106.2021.15.92

Vancouver

Burova IG, Dem’yanovich YK, Terekhov AN, Altynova AY, Satanovskiy AD, Babushkin AA. Image compression and enlargement algorithms. International Journal of Circuits, Systems and Signal Processing. 2021 Авг. 5;15:836-846. https://doi.org/10.46300/9106.2021.15.92

Author

Burova, I. G. ; Dem’yanovich, Yu K. ; Terekhov, A. N. ; Altynova, A. Yu ; Satanovskiy, A. D. ; Babushkin, A. A. / Image compression and enlargement algorithms. в: International Journal of Circuits, Systems and Signal Processing. 2021 ; Том 15. стр. 836-846.

BibTeX

@article{cf930d270d35486397ca1c4d570de181,
title = "Image compression and enlargement algorithms",
abstract = "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.",
keywords = "Polynomial splines, Trigonometric splines, —Image enlargement",
author = "Burova, {I. G.} and Dem{\textquoteright}yanovich, {Yu K.} and Terekhov, {A. N.} and Altynova, {A. Yu} and Satanovskiy, {A. D.} and Babushkin, {A. A.}",
note = "Publisher Copyright: {\textcopyright} 2021, North Atlantic University Union NAUN. All rights reserved.",
year = "2021",
month = aug,
day = "5",
doi = "10.46300/9106.2021.15.92",
language = "English",
volume = "15",
pages = "836--846",
journal = "International Journal of Circuits, Systems and Signal Processing",
issn = "1998-4464",
publisher = "North Atlantic University Union NAUN",

}

RIS

TY - JOUR

T1 - Image compression and enlargement algorithms

AU - Burova, I. G.

AU - Dem’yanovich, Yu K.

AU - Terekhov, A. N.

AU - Altynova, A. Yu

AU - Satanovskiy, A. D.

AU - Babushkin, A. A.

N1 - Publisher Copyright: © 2021, North Atlantic University Union NAUN. All rights reserved.

PY - 2021/8/5

Y1 - 2021/8/5

N2 - 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.

AB - 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.

KW - Polynomial splines

KW - Trigonometric splines

KW - —Image enlargement

UR - http://www.scopus.com/inward/record.url?scp=85113225463&partnerID=8YFLogxK

U2 - 10.46300/9106.2021.15.92

DO - 10.46300/9106.2021.15.92

M3 - Article

AN - SCOPUS:85113225463

VL - 15

SP - 836

EP - 846

JO - International Journal of Circuits, Systems and Signal Processing

JF - International Journal of Circuits, Systems and Signal Processing

SN - 1998-4464

ER -

ID: 85058250