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
相关论文
共 50 条
  • [31] EFFICIENT IMAGE COMPRESSION AND DECOMPRESSION ALGORITHMS FOR OCR SYSTEMS
    Arizanovic, Boban
    Vuckovic, Vladan
    FACTA UNIVERSITATIS-SERIES ELECTRONICS AND ENERGETICS, 2018, 31 (03) : 461 - 485
  • [32] An application for the comparison of lossless still image compression algorithms
    Vogeltanz, Tomáš
    Pokorný, Pavel
    International Journal of Circuits, Systems and Signal Processing, 2014, 8 : 38 - 46
  • [33] Methods and Algorithms for Image Compression Based on Machine Learning
    Gashnikov, M. V.
    Chubar, M. A.
    Yakubenko, M. A.
    OPTOELECTRONICS INSTRUMENTATION AND DATA PROCESSING, 2022, 58 (05) : 495 - 502
  • [34] Research on the Choice of Wavelet Basis for Image Compression Algorithms
    Li, Meishan
    Liu, Yue
    Zhang, Hong
    3RD ASIAN PACIFIC CONFERENCE ON ENERGY, ENVIRONMENT AND SUSTAINABLE DEVELOPMENT (APEESD 2017), 2017, : 187 - 190
  • [35] Speeding Up Fractal Image Compression by Genetic Algorithms
    Faraoun Kamel Mohamed
    Boukelif Aoued
    Multidimensional Systems and Signal Processing, 2005, 16 : 217 - 236
  • [36] Image compression algorithms based on multidirectional and multiscale transform
    Lian, Qiu-Sheng
    Chen, Shu-Zhen
    Kong, Ling-Fu
    Guangxue Jishu/Optical Technique, 2006, 32 (01): : 67 - 70
  • [37] Methods and Algorithms for Image Compression Based on Machine Learning
    M. V. Gashnikov
    M. A. Chubar
    M. A. Yakubenko
    Optoelectronics, Instrumentation and Data Processing, 2022, 58 : 495 - 502
  • [38] Comparison of Neural Network Algorithms in Image Compression Technique
    Perumal, B.
    Rajasekaran, M. Pallikonda
    Murugan, H.
    IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGICAL TRENDS IN COMPUTING, COMMUNICATIONS AND ELECTRICAL ENGINEERING (ICETT), 2016,
  • [39] The Design of Image Compression Algorithms Testing and Analyzing Tool
    School of Computer China University of Mining and Tech nology Jiangsu Xuzhou ChinaZhang Hong Kong Li Fang Cai Zheng Xing Xuzhou Air Force College Jiangsu Xuzhou China Kong Li Fang
    微计算机信息, 2007, (18) : 254 - 257
  • [40] Comparative Analysis of WAVELET TRANSFORM ALGORITHMS for IMAGE COMPRESSION
    Kourav, Arvind
    Sharma, Ashutosh
    2014 INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND SIGNAL PROCESSING (ICCSP), 2014,
12345