A Comprehensive Study of 1D and 2D Image Interpolation Techniques

被引：2
|
作者：
Earshia, V. Diana [1 ]
Sumathi, M. [1 ]
机构：
[1] Sathyabama Inst Sci & Technol, Dept Elect & Commun Engn, Chennai, Tamil Nadu, India
来源：
ICCCE 2018 | 2019年 / 500卷
关键词：
Image interpolation; Image scaling; Image magnification; Image interpolation algorithms;
D O I：
10.1007/978-981-13-0212-1_40
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Image interpolation plays an important role in converting a low resolution image into a high resolution image. This paper provides a comprehensive study of perdurable image interpolation techniques, such as nearest neighbor, bilinear, bicubic, cubic spline, and iterative linear interpolation. The usage of a Lagrange polynomial and a piecewise polynomial gives a better fitting curve for interpolated pixel values. The parameters of interest are the signal-to-noise ratio, peak signal-to-noise ratio, mean square error and processing time. Experiment results are used to analyze the performance of interpolation algorithms. These results help us to choose an appropriate algorithm for better usage.
引用
收藏
页码：383 / 391
页数：9
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